Tweaking SketchRNN (LSTM-VAE) with attention! And generating owl drawings.
In this project we explore Sequence-to-Sequence VAE to generate simple sketch drawings as a sequence of strokes. We improve upon existing work by using attention mechanism in the decoder. We show that proposed improvement gives benefits in training time while does not degrade the quality of generation. We discover that training time is an issue, as RNN are hardly parallelizible and SketchRNN is expensive to train. Improving convergence speed allows for more efficient training sessions, achieving the same validation scores with 40% time reduction.
We also tried training on a more complex, yet shallow dataset of sketches from DoodlerGAN, but the results are inconclusive. More work is required here.
Code: github repository
Disclaimer: this little project was done as a course project for IFT6010: Modern NLP. It is far from complete, I wish I had another month to tinker around. Anyway, I decided to put online for anyone interested.
If you already know about SketchRNN, go right to Experiments.
Sketches are a natural part of our world from our daily life to professional practice. They play an essential role in any design process: rough pen-and-paper sketches are easy to produce, yet they are expressive enough to convey the idea. Contrary to realistic images, sketches are inexact and abstract.
Sketch-RNN paper
Note that in SketchRNN the final drawing is constructed as a set of polygonal chains. To get an image we rasterize lines on a canvas. This is a particular case of a more general vector graphics
format, when image is stored as a set of primitives with drawing parameters (color, line width, etc.).
Many sketch generation works focused on raster image generation, representing images as array of pixels. See this github collection of Sketch Synthesis papers for a general overview. In the recent work
Motivated by advancements in Natural Language Processing using attention mechanism, we propose an improved SketchRNN model with attention. The goal of this project is to train an improved model and compare it with the baseline.
SketchRNN
Encoder is an unsupervised bidirectional RNN
Having latent code $z \in \mathbb R^{128}$ we then perform decoding. Decoder is a uni-directional auto-regressive RNN, that takes as input previous state and latent code. The outputs are passed as a parameters to $M=20$ Gaussian mixture models ($\Pi, \mu_x, \mu_y, \sigma_x, \sigma_y, \rho_{xy}$ for each of $M$ GMMs, $\sum \Pi = 1$) and we extract new offset vector $(\Delta x, \Delta y)$ as a sample from GMMs distribution. Pen state vector is extracted as a softmaxed projection of the decoder output. During training, we know the ground truth sequence, and next step of decoder is provided with correct input. During evaluation, the output point embedding of the previous step is passed to the input of the next step.
Loss is a weighted sum of two terms: one is reconstruction loss $L_{R}$ (how well we reconstructed the starting sample) and Kullback-Leibler divergence loss $L_{KL}$ (how close the distribution of $z$ is to $\mathcal N(0,1)$).
\[L = L_R + w_{KL} \cdot L_{KL}\]In our experiments, $w_{KL}=0.5$. During training, we use annealing term to mitigate KL loss influence in the beginning of the training.
\[\eta_{step} = 1 - (1-\eta_{min}) R^{step}\] \[L_{training} = L_R + w_{KL} \cdot \eta_{step} \cdot \max (L_{KL}, 0.2)\]Reconstruction loss has two terms: loss for the offset $L_s$ and pen state $L_p$
\[L_s = - \frac 1 {N_{max}} \sum_{i=1}^{N_s} \log (\sum_{j=1}^M \Pi_{j,i} \cdot \mathcal N(\Delta x, \Delta y | \mu_{x,j,i}, \mu_{y,j,i}, \sigma_{x,j,i}, \sigma_{y,j,i}, \rho_{xy,j,i}))\] \[L_{p} = - \frac 1 {N_{max}} \sum_{i=1}^{N_{max}} \sum_{k=1}^3 p_{k,i} \log (q_{k,i})\]And Kullback-Leibner divergence can be interpreted as the parameter difference with the normal distribution. Original paper proposes this loss term:
\[L_{KL} = - \frac{1}{2N_z} (1 + \hat \sigma - \mu^2 - \exp (\hat \sigma) )\]The backbone of our model remains the same as in SketchRNN, although original paper used more complex HyperLSTM, while we use LSTM to save computations (otherwise it would be infeasible given the time constraints and resources available). We use the same reconstruction loss and Kullback-Leibner divergence. However, due to numerical limitations we use smaller model (with 256 hidden states in encoder and 512 in decoder).
We utilize dot-product attention from
Now at each time step the decoder network receives latent code $z$, previous point embedding, and a context vector $\in \mathbb R^{64}$, that is computed on all the previous points embeddings.
Note that as we are in auto-regressive model setup, our attention context must not see the future token. During training we achieve this by masking alignment scores with $-\infty$ (this is required such that the softmax contribution of masked tokens is exactly 0). During evaluation, attention context vector is computed on the go. This attention mechanism is somewhat similar to XL-Net autoregressive attention (they do a two-stream attention for permuted language modeling).
Context vector is computed by using query, key and value projections of starting embeddings $\in \mathbb R^5$, and combining them into scaled dot-product attention:
\[\text{Attention} (Q,K,V) = \text{softmax} (\frac{QK^\top}{\sqrt{n}}) V\]We experimented with positional encoding, but found that it adds no effect neither to quality nor to the speed of convergence. We argue that in these low-dimensional input representations positional encodings do not convey any useful information.
Although attention requires additional computations, during training it is highly parallelizible, as we already new all the inputs to decoder RNN, and proper masking ensure that future data does not leak into current step. In our setting, computing attention added 5 seconds to the epoch computation time (37 compared to 32 seconds, 15% increase).
owl
: 75,000 sketches, train / validation / test : 70,000 / 2500 / 2500 google cloud linkPreprocessing: fixed-size normalization (each sketch is contained in 256x256 window), deleting short strokes, line simplification (Ramer–Douglas–Peucker algorithm). Each stroke point will be encoded as $(\Delta x, \Delta y, p_1, p_2, p_3)$, where $p_i$ is a pen status after the corresponding point (pen up, pen down, end of sketch), and the length is padded to 200 by repeating the token (0,0,0,0,1). Sequences longer than 200 are discarded. For QuickDraw, simplification was already done, corresponding operations were performed for CreativeBirds data.
We compare the basaeline model with our improved SketchRNN-Attention model. Models were trained under the same hyperparameters, with learning rate 0.0001, batch size 100, with fixed random seed. We compare the models by loss values on validation set, as there is no better numerical metric to evaluate sketch quality.
The models were trained for 1000 epochs (or until gradient explosion occurs, making loss NaN). For Creative Birds, as it is 7 times smaller, maximum number of epochs was set to 3000. Then the best model was chosen according to the validation loss.
Each experiment took about 10 hours of training on NVidia RTX 2080 Ti.
Training SketchRNN turned out to be a challenging problem. After we cleaned all bugs in our code (the loss is particularly tricky to implement, and we took an open-source implementation after days of suffering), the training time comes to play. As we compute time-steps in RNN sequentially, they are slower to compute than typical convnets. Because of recurrence, “gradient explosion” problem exists, which result in NaN
exceptions and training termination. We tryied dozens of training setups with different datasets (sketches classes, like bird
, cat
, and also dataset size) and hyperparameters (learning rate, hidden size, annealing )
We can interpolate between sketches using trained model and latent codes.
Original paper reports some nice properties of a large models trained on multiclass generation (see inset). We did not find good examples of latent space arithmetic in either of our models. One explanation may be that our models are too simple (see underfitting). Alternatively, arithmetic may be a property of a multi-class generative models.
Althiugh showing good numbers in loss, training on Creative Birds dataset was not successfull: generated samples are far from the fround truth one. The authors of the original paper also noted that model suffers when training on complex data classes (like lobster
or mermaid
):
“The models trained on these more challenging image classes tend to draw smoother, more circular line segments that do not resemble individual sketches, but rather resemble an averaging of many sketches in the training set.”
I our case, the data is both complex and sparse, as Creative Birds contains only 8500 sketches opposed to 70,000 in Quickdraw. Despite showing good loss values (table below), our trained model does not produce bad sketches (see inset). This is a challenging problem for future research: we can try increasing the model size, mixing the datasets together, additional data preprocessing for Creative Birds dataset, etc.
To show convergence benefits of using attention we compare 2 pair of experiments on each of our datasets.
Experiments table on QuickDraw owl
data:
| Model | $h_{enc}$ | $h_{dec}$ | best epoch | $L_R$ | $L_{KL}$ |
|---|---|---|---|---|---|
| Baseline | 256 | 512 | 761 | -0.25 | 0.21 |
| Attention | 256 | 512 | 420 | -0.24 | 0.24 |
Experiments table on Creative Birds data:
| Model | $h_{enc}$ | $h_{dec}$ | best epoch | $L_R$ | $L_{KL}$ |
|---|---|---|---|---|---|
| Baseline | 256 | 512 | 1977 | -0.8 | 0.31 |
| Attention | 256 | 512 | 1002 | -1.44 | 0.64 |
Validation loss curves on owl
: baseline (blue) and attention (orange) models.
Note that quantitative and qualitative results of baseline and attention models are very similar. However, the final scores are far from what is reported in the original paper (see inset).
We conclude that our models are too simple for the data. Unfortunately, increasing model size comes at a huge computational cost. We tried training larger model (512 units in encoder, 1024 units in decoder) for 28 hours (1000 epochs) on QuickDraw cat
data, which resulted in overfitting on training data.
In this work we improved existing sequence-to-sequence VAE model on sketch generation by adding auto-regressive attention. It drastically improved training time, and also showed slight visual improvements. We conducted a small ablation study to confirm the results. As it turned out, replicating the results from the existing paper \cite{sketchrnn} takes massive computational resources, so the proposed improvement is quite useful.
Although model failed to generalize on the new complex dataset, it did not fail into “mode collapse” state. The results are still diverse and detailed, which suggests that more training is requires. The same can be said for a simpler “owl” class model – generated results are still not perfect, but with more computations we see no obstacles to replicate and even surpass the results from the original paper.


Sabelo is a junior JavaScript developer with experience in Angular, React/Redux, Node.js and Postgres.
Ambtous and motivated by the role technology play’s in our everyday life and my contribution to it.
HTML
CSS
JavaScript
PostgreSQL
MongoDB
Java
A dungeon crawl is a type of scenario in fantasy role-playing games in which heroes navigate a labyrinthine environment (a "dungeon"), battling various monsters, and looting any treasure they may find. Because of its simplicity, a dungeon crawl can be easier for a gamemaster to run than more complex adventures, and the "hack and slash" style of play is appreciated by players who focus on action and combat.
Close ProjectDrum machines is an app that imitate drum kits or other percussion instruments, or produce unique sounds.
Close ProjectThe Game of Life, also known simply as Life,The game is a zero-player game, meaning that its evolution is determined by its initial state, requiring no further input. One interacts with the Game of Life by creating an initial configuration and observing how it evolves, or, for advanced players, by creating patterns with particular properties.
Close ProjectAn app that helps individual with their spelling. Gives them an option to type in the word to check or speak the work and the app will print it out in the correct spelling.
Close ProjectMarkdown is a lightweight markup language, originally created by John Gruber and Aaron Swartz allowing people "to write using an easy-to-read, easy-to-write plain text format, then convert it to structurally valid XHTML (or HTML)". This Project gives you the option to write text in Markdown and have them displayed in markdown view.
Close ProjectSnake is the common name for a video game concept where the player maneuvers a line which grows in length, with the line itself being a primary obstacle. In this case the Snake grows by having an extra of its infants follow it. For every mouse eaten by the snake, the snake gains an infant.
Close Project


This is a basic as you get. To resize the box, position your mouse anywhere near the bottom, right or border right edge of the box. This example uses the default "floating" handles.
var basic = Ext.create('Ext.create', 'Ext.resizer.Resizer', {
target: 'basic',
width: 200,
height: 100,
minWidth:100,
minHeight:50
});
Some elements such as images and textareas don't allow child elements. Prior to Ext JS 3.x, you had to wrap these elements and set up a Resizable with resize child. With Ext JS 3.x we made it a little easier for you and all you had to do was set "wrap:true". Now with Ext JS 4.x we go a step further and automatically detect if the element needs a wrap and wrap it for you.
Notice this example has the resize handles "pinned". This is done by setting "pinned:true".
If you don't like the proxy resizing, you can also turn on dynamic sizing. Just set "dynamic:true".
Here's a textarea that is wrapped (automatically), has pinned handles and has dynamic sizing turned on.
And look how simple the code is, even my grandma could write it.
var dwrapped = Ext.create('Ext.resizer.Resizer', {
target: 'dwrapped',
pinned:true,
width:450,
height:150,
minWidth:200,
minHeight: 50,
dynamic: true
});
For some things like images, you will probably want to preserve the ratio of width to height. Just set preserveRatio:true.
var wrapped = Ext.create('Ext.create', 'Ext.resizer.Resizer', {
target: 'wrapped',
pinned:true,
minWidth:50,
minHeight: 50,
preserveRatio: true
});
To resize in fixed increments, specify the widthIncrement
or heightIncrement
options. The image below resizes (maintaining its aspect ratio) in increments of 20 pixels in both directions.
var snapping = Ext.create('Ext.resizer.Resizer', {
target: 'croix-de-fer',
width: 160,
height: 120,
minWidth: 160,
minHeight: 120,
preserveRatio: true,
heightIncrement: 20,
widthIncrement: 20
});
If you just want the element to be resizable without any fancy handles, set transparent to true.
var transparent = Ext.create('Ext.create', 'Ext.resizer.Resizer', {
target: 'transparent',
minWidth:50,
minHeight: 50,
preserveRatio: true,
transparent:true
});
Resizable elements are resizable 8 ways. 8 way resizing for a static positioned element will cause the element to be positioned relative and taken out of the document flow. For resizing which adjusts the x and y of the element, the element should be positioned absolute. You can also control which handles are displayed by setting the "handles" attribute. The handles are styled using CSS so they can be customized to look however you would like them to.
This image has 8 way resizing, custom handles and preserved aspect ratio.
Double click anywhere on the image to hide it when you are done.
var custom = Ext.create('Ext.create', 'Ext.resizer.Resizer', {
target: 'custom',
pinned:true,
minWidth:50,
minHeight: 50,
preserveRatio: true,
dynamic:true,
handles: 'all' // shorthand for 'n s e w ne nw se sw'
});
Images: graur codrin, Matt Banks, Lavoview (FreeDigitalPhotos.net)


Lab Exercises
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Chapter 9


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{% extends "base_page.html" %} {% block style_block %} {% endblock %} {% load staticfiles %} {% block javascript_block %} {% endblock %} {% block body_block %}
Type a word in the input and click calculate to see how often you texted the word over time (it takes like 30 seconds to compute).
Then type another word and
it will graph it on top.


Sorry, this site has moved to a new URL
The site has moved to
{{ redirectUrl }}
click in case you are not redirected automatically.


Wordpress Designs
Quick and easy to set-up website templates
Want to get a website or improve your current one online? Let us create a modern web-page to help grow your presence.
Ready for a new look? We will design a custom layout that will work on screens big and small. Giving you a web experience that works on any device.
Ever wanted to become part of the fastest growing field in development? We'll build that mobile app you have always been dreaming about.
Quick and easy to set-up website templates
A portfolio website for showcasing their best features
Making life easier for students and faculty
From former blogger to full-time developer. As I was earning my B.S. in Computer Science I was commissioned to complete a website for a small security firm. This was the spark that created my love for Web Development and led to my journey of growing as a developer. Since then, I continued programming in all things Web Development while branching out to Mobile Development. I am currently employed as a full-time Web Developer for a Software Development Company, working to bringing the best designs for clients. My drive for innovative Mobile Development has led me to freelancing and bring the best applications to you.
I have always had a passion for art at a young age. My favorite past-time was making creations with pencil and paper. As I grew older my hobbies of sketches and drawings transformed to creating blueprints of items I would like to make. My passion for creating evolved into wanting to learn new languages (programming that is) for developing websites and mobile applications. Some of the languages that I know are Java, HTML/CSS, PHP, Javascript, Python, XML, Bootstrap, and Angular JS. I have helped build a web applications for USDA and mobile application for Metropolitan State University. I am perusing my journey as a developer, to continue to bring the best I can to you!


Strike is a maths game where you pick 3 random numbers, typically from 1-10, and use arithmetic operations such as addition, subtraction, exponentation and the factorial function to try and manipulate the three numbers to arrive at all of the numbers from 1 through 10.
For some combinations, however, it becomes impossible to reach all of the numbers 1 through 10 using the numbers only once; and for these, the game is considered invalid.
This tool was designed to both find these impossible combinations, and also to use computers to brute-force — i.e. cheat — and get all of the answers. Using the power of expression trees, this tool can randomly generate all of the arithmetic possibilities and return the ones that reach the target numbers.


PanDA/JEDI logger page help
The PanDA logger service, based on the python logging module, is used by PanDA services to log alarms, incidents, errors etc. All recorded log information is collected, parsed, processed and stored to ES-ATLAS ElasticSearch, see Kibana.


I should have said, that we are looking for some lucky pennies, because I going to use the lucky pennies we find in a magic trick later. To find a lucky penny, I need to decide how many heads I need to observe to be surprised.
I am going to cheat, because I happen to remember just enough theoretical statistics to know that when you observe a group of boolean trials, you can use the binomial distribution to calculated the probability of observing any number of one type of observation (heads) out of a known number of trials. (We are not going to show the equation, but it’s a combinatorial expression with factorials so it is pretty.)
For the sake of brevity, I am going to tell you it takes a lot to surprise me.
## [1] 0.1171875
## [1] 0.04394531
## [1] 0.009765625
## [1] 0.0009765625
I am going to be a traditionalist here and decide I will be surprised if there are 8 or more heads out of 10 tosses.
## [1] 0.04394531
## [1] 4
## [1] 11 20 24 31
## [1] 8 8 9 8
Let’s examine what we have done and what we learned about these pennies through this experiment.
Now as statisticians, 10 is not a big enough sample for a good estimate so let’s make it bigger.
## [1] 2.049443e-86
## [1] 0.0006958708
## [1] 0.04684365


USD/IDR: Rupiah holds near monthly lows on Bank Indonesia’s status-quo
by Dhwani MehtaAt its November monetary policy meeting on Thursday, Indonesia’s central bank, Bank Indonesia (BI), left its 7-day reverse repo rate unchanged at 5.00%, as widely expected. The central bank stood pat after four successive rate cuts since July.
The latest Reuters poll showed that 20 of 24 economists believed that Bank Indonesia (BI) will keep the key rate unchanged this week at 5.00%.
The central bank Governor Warjiyo noted that global growth has the potential to improve going forward despite the US-China trade war.


TABLE OF INTERACTIONS WITH
ALPHA-TOCOPHEROL
From the French ANSM drug interactions document of September 2016, p. 10
ALPHA-TOCOPHEROL Codes located for Tocopherol RxNorm: 11256 ATC: A11HA03 |
VITAMIN K ANTAGONISTS CLASS CODE: B01AA-001 |
With the vitamin E used in doses greater than or equal to 500 mg per day: increase of the effect of the vitamin K antagonist and of the risk of hemorrhage |
Precaution for use More frequent testing of the INR. Possible adjustment of the dosage of the vitamin K antagonist during the treatment with vitamin E and after it is stopped. |


| 1 | /* | |
| 2 | * Licensed to the Apache Software Foundation (ASF) under one or more | |
| 3 | * contributor license agreements. See the NOTICE file distributed with | |
| 4 | * this work for additional information regarding copyright ownership. | |
| 5 | * The ASF licenses this file to You under the Apache License, Version 2.0 | |
| 6 | * (the "License"); you may not use this file except in compliance with | |
| 7 | * the License. You may obtain a copy of the License at | |
| 8 | * | |
| 9 | * http://www.apache.org/licenses/LICENSE-2.0 | |
| 10 | * | |
| 11 | * Unless required by applicable law or agreed to in writing, software | |
| 12 | * distributed under the License is distributed on an "AS IS" BASIS, | |
| 13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 14 | * See the License for the specific language governing permissions and | |
| 15 | * limitations under the License. | |
| 16 | */ | |
| 17 | package org.apache.commons.imaging.color; | |
| 18 | ||
| 19 | public final class ColorHsl { | |
| 20 | public final double H, S, L; | |
| 21 | ||
| 22 | public ColorHsl(final double h, final double s, final double v) { | |
| 23 | H = h; | |
| 24 | S = s; | |
| 25 | L = v; | |
| 26 | } | |
| 27 | ||
| 28 | @Override | |
| 29 | public String toString() { | |
| 30 |
1
1. toString : mutated return of Object value for org/apache/commons/imaging/color/ColorHsl::toString to ( if (x != null) null else throw new RuntimeException ) → SURVIVED |
return "{H: " + H + ", S: " + S + ", L: " + L + "}"; |
| 31 | } | |
| 32 | } | |
Mutations | ||
| 30 |
1.1 |


General election poll projection claims Tories are set to win 48-seat majority
Datapraxis analysed 270,000 polling responses to YouGov and drilled down to local data to produce the first report of its kind so far in the general election 2019
by Dan Bloom, https://www.facebook.com/mirrordanbloomThe Tories could win a 48-seat majority, the first poll projection of its kind in the general election has claimed.
The analysis by public opinion firm Datapraxis projects Boris Johnson's party to win 349 seats - a gain of more than 30.
Labour is projected to lose just over 30 seats and end up on 213, with 49 seats for the SNP and 14 for the Lib Dems.
The analysis - which modelled 269,838 polling responses - also claims seven senior Tories including the Prime Minister could be at risk of losing their seats.
According to data provided to the Sunday Times, the likes of Boris Johnson , Foreign Secretary Dominic Raab , former Conservative leader Iain Duncan Smith and leading Brexiteer Steve Baker could all be ousted by tactical voting campaigns.
Zac Goldsmith, the former London mayoral leadership hopeful, is almost certain to lose his seat for the second time in as many years if the polling in his Richmond Park seat is correct.
The environment minister trails Sarah Olney, the Lib Dem candidate who defeated him in a by-election in 2016, by 20 points.
Outspoken backbencher Philip Davies and one-time leadership hopeful Sir John Redwood are both also said to be at risk.
The model that was used is known as MRP and anlayses the specific demographics of each seat.
It is the largest analysis of polling data completed since the December 12 election was called.
The report says: "In the seven 'big beast' seats, Goldsmith seems almost certain to lose already and Raab and Duncan Smith look to be in very serious jeopardy.
"Baker, Redwood, Davies and Johnson have somewhat larger leads.
"But even if there is no tightening in the national polls, they could still lose through large-scale tactical campaigning and voting."
The predictive model incorporated data from 270,000 interviews conducted by polling company YouGov.
A YouGov poll published earlier on Saturday showed the Conservatives' vote share at 42%, 12 points ahead of Labour.
Labour have repeatedly refused to comment on polls - many of which turned out drastically wrong in the 2017 election.


Slides available at
http://snugug.github.io/RWD-with-Sass-Compass/
Hold up your hand if you own a smartphone
Lower it if you have the exact same phone (make, model, carrier, and OS version) as your neighbors
Put your hands back up
Lower it if you only use your phone while you're distracted, on the go, and want a dumbed-down or lite experience
We start with our content first
It’s not about mobile first (or just small screen first) – it's about content first. But it happens that thinking about what works for mobile does work for other things as well.
Jeffery Zeldman
We design using mobile as a focusing lens
But don't take that the wrong way…
[T]here is no mobile web. There are plenty of mobile devices. And equally there is no desktop web. It is just the web. [O]ne web.
Jeremy Keith
We use web standards, progressive enhancement, and modern best practices
All while staying device agnostic, avoiding common user experience pitfalls, and staying future friendly.
Oh, and throw away “Pixel Perfect”
Of Course Responsive Web Design is Hard.
It's Design.

TIME FOR A BREAKPOINT!
Stephen Hay
gem 'breakpoint', '~>2.4.0'
require 'breakpoint'
@import 'breakpoint';
// Your basic media queries, min-width and min/max width, are super easy!
$small: 543px;
$medium: 794px;
$fence-sm: $small $medium;
#foo {
content: 'No Media Queries';
@include breakpoint($small) {
content: 'Small Media Query';
}
@include breakpoint($fence-sm) {
content: 'Fenced Media Query';
}
}
/* Nested Breakpoint calls become separate media queries */
#foo {
content: 'No Media Queries';
}
@media (min-width: 543px) {
#foo {
content: 'Small Media Query';
}
}
@media (min-width: 543px) and (max-width: 794px) {
#foo {
content: 'Fenced Media Query';
}
}
/* Setting $breakpoint-to-ems: true will write Media Queries in Ems! */
@media (min-width: 33.9375em) {
#foo {
content: 'Small Media Query';
}
}
@media (min-width: 33.9375em) and (max-width: 49.625em) {
#foo {
content: 'Fenced Media Query';
}
}
// Advanced "and" media queries and "or" media queries made simple
$print-land: print monochrome (orientation landscape);
$fenced-landscape: screen 321px 543px, handheld (orientation portrait);
#foo {
@include breakpoint($print-land) {
content: 'Monochrome Print in Landscape';
}
@include breakpoint($fence-landscape) {
content: 'Screen media type between 300px and 500px or Handheld media type in Portrait';
}
}
/* Advanced "and" media queries and "or" media queries made simple */
@media print and (monochrome) and (orientation: landscape) {
#foo {
content: 'Monochrome Print in Landscape';
}
}
@media screen and (min-width: 321px) and (max-width: 543px), handheld and (orientation: portrait) {
#foo {
content: 'Screen media type between 300px and 500px or Handheld media type in Portrait';
}
}
// Resolution media queries are a pain. Breakpoint makes them easy. We use the standard DPPX units.
$hidpi: min-resolution 1.5dppx;
$cross-reso: max-resolution 143dpi;
#foo {
@include breakpoint($hidpi) {
content: 'Device Pixel Ratio of at least 1.5';
}
@include breakpoint($cross-reso) {
content: 'Cross Browser Resolution Query'
}
}
/* Breakpoint will transform the DPPX unit into cross-browser compatible resolution queries and DPI units into cross-browser DPR queries! */
@media (min-resolution: 1.5dppx), (-webkit-min-device-pixel-ratio: 1.5), (min--moz-device-pixel-ratio: 1.5), (min-resolution: 144dpi) {
#foo {
content: 'Device Pixel Ratio of at least 1.5';
}
}
@media (max-resolution: 143dpi), (-webkit-max-device-pixel-ratio: 1.48958), (max--moz-device-pixel-ratio: 1.48958) {
#foo {
content: "Cross Browser Resolution Query";
}
}
// _mqs.scss
$touch: pointer fine, 'no-query' '.no-touch';
$no-queries: 678px, 'no-query' '.no-mqs';
#foo {
@include breakpoint($touch) {
content: 'Fine Pointer';
}
@include breakpoint($no-queries) {
content: 'No Media Queries';
}
}
// style.scss
$breakpoint-no-queries: false;
$breakpoint-no-query-fallbacks: false;
@import "mqs";
// touch.scss
$breakpoint-no-queries: true;
$breakpoint-no-query-fallbacks: '.no-touch';
@import "mqs";
/* style.css */
/* Only the Media Query gets printed out here! */
@media (pointer: fine) {
#foo {
content: 'Fine Pointer';
}
}
/* style.css */
/* Only the Media Query gets printed out here! */
@media (pointer: fine) {
#foo {
content: 'Fine Pointer';
}
}
/* touch.css */
/* Only the Meida Queries with a .touch no-fallback get printed! */
.no-touch #foo {
content: 'Fine Pointer';
}
// We can import all of Compass safely because it doesn't write any CSS.
@import 'compass';
// We switch our box model to Border Box.
// From [Paul Irish](http://paulirish.com/2012/box-sizing-border-box-ftw/)
*, *:before, *:after {
@include box-sizing('border-box');
}
gem 'singularitygs', '~>1.2.0.rc.3'
require 'singularitygs'
@import 'singularitygs';
Grids provide order to your design and structure to your information.
The best grids are specific to your content and your design, as they are an extension of both.
@include add-grid(12);
@include add-gutter(1/3);
@include add-grid(12);
@include add-gutter(0.9375em);
@include add-gutter-style(split);
@include add-grid(12);
@include add-gutter(0);
@include add-grid(1 4 1);
@include add-gutter(1/6);
@include add-gutter-style(split)
// Compound function comes from [Singularity Extras](https://github.com/Team-Sass/Singularity-extras)
@include add-grid(compound(3, 4));
@include add-gutter(1);
// Ratio function comes from [Singularity Extras](https://github.com/Team-Sass/Singularity-extras)
@include add-grid(ratio(golden-ratio(), 4));
@include add-gutter(golden-ratio() * 1em);
@include add-gutter-style(split);
// Ratio spiral function comes from [Singularity Extras](https://github.com/Team-Sass/Singularity-extras)
@include add-grid(ratio-spiral(5));
@include add-gutter(1);
// Calc output style comes from [Singularity Extras](https://github.com/Team-Sass/Singularity-extras)
@include add-grid(320px 1 2);
@include add-gutter(1em);
@include sgs-change('output', 'calc');
Singularity is what we like to call a semantic grid system, meaning that instead of grid classes being generated that you then apply to your HTML, the grid is stored entirely within your CSS and applied directly to the element you want to use it on.

Main Section

First Section

Second Section

// Simply pass the number of columns you'd like to span and what column you'd like to start from.
@include add-grid(2 8 2);
@include add-gutter(1/3);
.first {
@include grid-span(1, 1);
}
.main {
@include grid-span(1, 2);
}
.second {
@include grid-span(1, 3);
}
// add-grid allows you to automatically change your global Grid Context at various breakpoints
@include add-grid(12);
@include add-grid(2 8 2 at 700px);
@include add-gutter(1/3);
.first {
@include grid-span(3, 4);
@include breakpoint(700px) {
@include grid-span(1, 1);
}
}
.main {
@include grid-span(6, 7);
@include breakpoint(700px) {
@include grid-span(1, 2);
}
}
.second {
@include grid-span(3, 1);
@include breakpoint(700px) {
@include grid-span(1, 3);
}
}

One

Two

Three A

Three B

Three C

Four

First Section

Second Section

@include add-grid(2 8 2);
@include add-gutter(1/3);
.first {
@include grid-span(1, 1);
}
.main {
@include grid-span(1, 2);
}
.second {
@include grid-span(1, 3);
}
@include layout(8) {
.one {
@include grid-span(1, 1);
}
.two {
@include grid-span(1, 8);
}
.three {
@include grid-span(6, 2);
}
.four {
@include grid-span(2, 4);
clear: both;
}
}
@include layout(6) {
.a {
@include grid-span(2, 3);
}
.b {
@include grid-span(2, 5);
}
.c {
@include grid-span(2, 1);
}
}
gem 'toolkit', '~>2.0.0.alpha.7'
require 'toolkit'
@import 'toolkit';
// Making images and HTML5 video fluid is pretty easy.
img, video {
max-width: 100%;
height: auto;
}
// Using [Intrinisc Ratios](http://alistapart.com/article/creating-intrinsic-ratios-for-video), you can even make embedded videos fluid!
.fluid-16-9 {
@include intrinsic-ratio;
}
.fluid-4-3 {
@include intrinsic-ratio(4/3);
}

/* Intrinsic Ratio code is built for a small code footprint, so shared code is extended. */
.fluid-16-9, .fluid-4-3 {
position: relative;
height: 0;
}
.fluid-16-9 > *, .fluid-4-3 > * {
display: block;
position: absolute;
width: 100% !important;
height: 100% !important;
top: 0;
margin: 0;
padding: 0;
}
.fluid-16-9 {
padding-top: 56.25%;
width: 100%;
}
.fluid-4-3 {
padding-top: 75%;
width: 100%;
}
Everything you just saw? Yah, it's backend independent. You can use it anywhere, with anything, for any project. Sass Rocks
Slides available at
http://snugug.github.io/RWD-with-Sass-Compass/


Search here...
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2 Thessalonians 2:14
Whereunto he called you by our gospel, to the obtaining of the glory of our Lord Jesus Christ.


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SOURCES: Populations between 1971 and 2015 are official population estimates and figures between 2016 and 2050 are Series B population projections, both from the ABS.


Preparation time
overnight
Cooking time
10 to 30 mins
Serves
Serves 4
Lightly frying the clams caramelises the outside for an attractive finish. Serve them back in their shells with a herb butter and pickled shallots.
For the borage butter, blanch all of the herbs in boiling water for 20 seconds and refresh in a bowl of ice-cold water.
Drain the herbs thoroughly and put them into a food processor with the butter and blend. Add a squeeze of lemon juice and a pinch of salt.
Wrap the butter in cling film and roll into a ballotine (a sausage shape) and tie the ends. Place into the fridge for at least an hour (overnight is preferable).
For the pickled shallots, put the cider vinegar into a pan with the sugar and salt. Add the shallots, thyme, star anise, juniper berries and black peppercorns. Bring to a boil before taking off the heat. Set aside to cool.
For the clams, preheat the oven to 220C/425F/Gas 7.
Clean the clam shells in cold running water. Discard any open clams that do not close when given a sharp tap.
Put the clams in a pan with 1cm/½in boiling water. Put the lid on the pan and let the clams steam for three minutes.
Take the clams out of the pan. Throw away any that have not opened. Remove the opened clams from their shells. Clean the shells and keep them for serving.
Fry the clams in a splash of vegetable oil on one side until a light golden-brown colour. Flip onto the other side for a quick flash fry.
Cut off the ends and the brown ‘stomach’. Add a pinch of salt.
Place a slice of the herb butter into each clam shell. Put the clams on top of the butter.
Put the clams and shells into the preheated oven until the butter has melted (approximately 30 seconds).
To serve, arrange the clams on a plate. Place a few pickled shallots on the clams and garnish with pine nuts and borage flowers.


ESCHER
Build, share, and embed visualizations of biological pathways.
Filter by organism
Map
Model (Optional)
Tool
Options
EscherConverter
EscherConverter is a standalone program that reads files created with Escher and converts them to files in community standard formats.
FAQ
What is Escher?
Escher is a web-based tool for building, viewing, and sharing visualizations of biological pathways. These 'pathway maps' are a great way to contextualize data about metabolism. To get started, load a map by clicking the Load Map button above, or visit the documentation to learn more.
How do I cite Escher?
You can help support Escher by citing our publication when you use Escher or EscherConverter:
Zachary A. King, Andreas Dräger, Ali Ebrahim, Nikolaus Sonnenschein, Nathan E. Lewis, and Bernhard O. Palsson (2015) Escher: A web application for building, sharing, and embedding data-rich visualizations of biological pathways, PLOS Computational Biology 11(8): e1004321. doi:10.1371/journal.pcbi.1004321
Are there more maps available? Can I contribute maps?
We will be uploading maps for all of the organisms in the BiGG database. If you would like to contribute maps, there is a guide available in the documentation.
How is Escher licensed?
Escher and EscherConverter are distributed under the MIT license.
What browsers can I use?
We recommend using Google Chrome for optimal performance, but Escher will also run in the latest versions of Firefox, Internet Explorer, and Safari (including mobile Safari).
I have more questions. Who do I ask?
Visit the documentation to get started with Escher and explore the API, or ask questions in the Gitter chat room. If you find bugs or would like to contribute to the project, feel free to submit an issue and or a pull request on Github.


RT @RichRogersIoT: Understanding uptime:
98.12%: you have a few problems
99.65%: you have no major problems
100.00%: your monitoring is…
10/18/2016, 10:00:54 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
RT @RichRogersIoT: Understanding uptime:
98.12%: you have a few problems
99.65%: you have no major problems
100.00%: your monitoring is…
10/18/2016, 10:00:54 PM
Favs: 0
Retweets: 0
link


--- layout: page title: Carousel ---
Use left & right button controls to paginate the carousel slides. Use TAB key to navigate through focusable elements in the slide. Activate screen reader to hear carousel status updates (e.g. 'Video Games Carousel - Slide 2').
For simplicity sake we have omitted any kind of animation when paginating slides, but most likely a real carousel would utilise some kind of scroll effect. Again, this is a timely reminder that our emphasis with these examples is accessibility concepts only.
Please read the documentation to understand how these examples were created.
Under development.
Updated: April 9th, 2020


My name is Ildiko, I am a designer and interface developer based in Bergen, Norway ⛰👋
I started doing daily UI practices back in March 2016, and since then I created more than 1000 designs.
I planned on creating a design every week day until I reach 100 days total, to practice consistency and improve my skills. The improvement after the first hundred days was really encouraging, so I decided to make another hundred focusing on specific areas I am lacking in; and then another hundred, and then many more.
I created UI Design Daily to be able to share these designs with anybody who is interested in using them as inspiration or research material. I am hoping this project also takes me out of my comfort zone and provides new challenges. I'm planning to get better at development and pick up blogging as well, so lots of exciting things to look out for!
If you're interested in my journey stay tuned, and if you'd like to get in touch feel free to drop me a message. 😊
If you'd like to bounce ideas, chat about tools and all things design, you can also join the UI Design Daily Slack Channel.


WITNESS LIST State, Federal & International Relations Committee February 20, 2001-8:00A HB 271 On: James III, Major General Daniel (Texas Adjutant General Department) Oldmixon, Douglas (Texas Veterans Land Board) Palmquist, Michael (The American Legion) Military Facilities On: Malcolm, Jerry (Texas Military Facilities Commission) Office of Defense Affairs On: Christoferson, James (Texas Department of Economic Development) Texas Aerospace Alliance On: Bushell, James (Texas Aerospace Alliance) Texas Veterans Commission On: Nier, James (Texas Veterans Commission)


#-- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. --> <#assign licenseFirst = ""> <#include "${project.licensePath}">
Write your UI in portable HTML and display it in NetBeans or on web! Read more at our wiki...
Use knockout.js bindings to isolate your view model from the actual look of your HTML page. Bind your view to model written in Java or JavaScript.
You are feeling ! Let's proceed to create a file which will express your feeling by using Freemarker templating engine and values filled in this wizard.


Virgo
Virgo : (August 24 – September 22)
There will be major gains from partnership in your business. You will have money inflow along with your work. You will enjoy good time with your family. Your partner will have wonderful bonding with you. You will take tough decisions at your workplace. They will bring positive results. Financial condition will remain stable and strong.


Customizing your own meals!
What people love to cook.
Ready in 15 minutes.
Lots of proteins!
Low in calories.


BRiki's Dice Roller
Dice Roller
Do-It-Your-Way
New!
DnD
FATE
Fallout
Shadowrun
WoD
Links
Dungeons & Dragons
Normal
Advantage
Disadvantage
d20 +
>=
Roll Dices


An occupational change occurs when one gets promoted to a higher-level occupation. A Wizard may advance to a
Sorcerer
, a
Necromancer
, or a
Warlock
. Which occupation would you like to know about?
Sorcerer
Necromancer
Warlock


Robotics
Learning Inverse Dynamics Models in O(n) time with LSTM networks
(2017), Elmar Rueckert, Moritz Nakatenus, Samuele Tosatto, and Jan Peters, Humanoid 2017. (2017/10/03 read).
Learning Inverse Dynamics Models in O(n) time with LSTM networks
Limitation of the current methods
GPR (
)and LWR is not scalable
Contribution of this paper
Bibtex
: to appear
o
(
n
3
)


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➤ FARMP is a chat room and video cam site as well as being able to talk and communicate with other people
➤ 2 chat rooms are available, be courteous and respectful with others
➤ The site is expanding so be careful who you talk to


M S Dhoni
Born: 7 July 1981 (age 39 years), Ranchi
Rad more
Virat kohli
Born:5 November 1988 (age 31)New Delhi
Read more
Sachin Tendulkar
Born: 7 July 1981 (age 39 years), Ranchi
Read More


Manage the shared memory
size of the shared memory in bytes
memory mapped file
memory mapped view accessor
Could we create a memory view on the memory map
if we can't create a memory view hold the exception
raw byte data of the memory map
| public void Connect( |
| ) |
create/connect to a shared memory file
| map string | Map location string |
| public void Connect( |
| ) |
create/connect to a shared memory file
| map string | map location string |
| mapSize uint | size of the map |
close the memory view and handle
reread data from memory view
| protected SCSTelemetry ToObject<T>( |
| ) |
Cast a set of bytes to a managed C# object.
| T | Managed C# object type |
| structureDataBytes byte[] | Bytes array |
Managed object from given bytes


Our principal business is to provide complete exterior design solution, including complete specification of finishes and equipment. We craft designs that provide our clients with a functional, aesthetic and unique environment that enhance the lives of its users to further their business objectives.


| Username | Actions | |
|---|---|---|
| Remove Remove |
Are you sure you want to reset the role named {{AdminManagementCtrl.roleToReset.name}}? This will change all permissions for this role back to their Epochtalk defaults.
Are you sure you want to remove the role named {{AdminManagementCtrl.roleToRemove.name}}? This will permanently delete the role and all users who have this role will be affected.


SKILLS
- Wordpress: 10/8
- HTML CSS: 10/6
- Adobe Photoshop: 10/8
- Java, C++: 10/6
- MS OFFICE: 10/9
- Big Data:10/5
I am Kübra Nur Bayındır a years old who has a strong passion and interest for design and data. I graduated from the Department of Information Technologies in high school and I completed my compulsory high school internship in Germany. IT with thorough hands-on experience in all levels of testing, including performance, functional, integration, system. I am highly motivated to constantly improve my skills and grow professionally. I trust my ability to find interesting ideas for teamwork.


{% extends 'votes/base.html' %}
{% block content %}
{% include 'votes/searchform.html' %}
{% include 'votes/jeffchentable.html' %}
{% include 'votes/addjeffchenform.html' %}
{% include 'votes/popularjeffchentable.html' %}
{% include 'votes/history.html' %}
{% include 'votes/about.html' %}
{% include 'votes/contact.html' %}
{% endblock %}


Aesop for Entrepreneurs combines Aesop's ancient fables with the spirit of modern entrepreneurship and provides guidance on how to start and operate a successful business venture.


Love where you go -- really.
Search
Minimum Hotel Rating:
1 Star
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Find great hotel bathrooms.
placeholder image, Alaska
Submit a Review
Panel content
Panel content


Do the following things:
heat oil, once heated add butter
add onions on low heat until they are caramalized (not browned)
add the crushed tomatoes
lay the marinated diced chicken over the tomatoes and leave for 5 minutes - do not stir too much
add 0.5 cup hot water, and add salt to taste
simmer the chicken for about 30 minutes
add cream
add water to taste
leave on stove until it just boils


CONTACTS
Contacts1
Contacts2
address: 41-1 Ostrovityanova St. Apt. 230,
117342, Moscow, Russia
phone: +7 (965) 297-58-24
EDUCATION
2012 - 2018
Specialist in bioengineering and bioinformatics (equivalent to M.Sc.)
Faculty of Bioengineering and Bioinformatics
Lomonosov Moscow State University, Moscow, Russia
2010 - 2012
High school
Advanced Educational Scientific Center – Kolmogorov’s boarding school
Lomonosov Moscow State University, Moscow, Russia
RESEARCH EXPERIENCE
2018 - present
Junior research fellow
Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Gene Biology, Moscow, Russia
Skolkovo Institute of Science and Technology, Moscow, Russia
Research group of prof. Konstantin Severinov
Characterization of novel bacterial toxin-antitoxin systems. Mining of bacterial genomes for new natural products with antibiotic activity
Supervisor: Prof. Konstantin Severinov
2015 - 2018
Specialist's thesis
A.N. Belozersky Institute of Physico-Chemical Biology, Moscow, Russia
Laboratory of Protein Synthesis Regulation
Role of proteins interacting with DAP5 (eIF4G2) mRNA in translation regulation
Supervisor: Dr. Ilya Terenin
2014 - 2015
Undergraduate research project
Engelhardt Institute of Molecular Biology, Moscow, Russia.
Laboratory of Cell Proliferation
Influence of mTOR inhibitor torin-2 on cell growth and p73 protein level
Supervisors: Alexandra Dalina, Prof. Peter Chumakov
2013 - 2014
Undergraduate research project
A.N. Belozersky Institute of Physico-Chemical Biology, Moscow, Russia.
Laboratory of Membrane Biophysics Properties of SkQ hydrophobic cations as a transmembrane electron carrier
Supervisors: Dr. Tatyana Rokitskaya, Dr. Yuri Antonenko
PUBLICATIONS
- Ovchinnikov, S. V, Bikmetov, D., Livenskyi, A., Serebryakova, M., Wilcox, B., Mangano, K., … Dubiley, S. (2020). Mechanism of translation inhibition by type II GNAT toxin AtaT2. Nucleic Acids Research, 48(15), 8617–8625. https://doi.org/10.1093/nar/gkaa551
- Travin, D. Y., Bikmetov, D., & Severinov, K. (2020). Translation-Targeting RiPPs and Where to Find Them. Frontiers in Genetics, 11, 226. https://doi.org/10.3389/fgene.2020.00226
- Zukher, I., Pavlov, M., Tsibulskaya, D., Kulikovsky, A., Zyubko, T., Bikmetov, D., … Severinov, K. (2019). Reiterative Synthesis by the Ribosome and Recognition of the N-Terminal Formyl Group by Biosynthetic Machinery Contribute to Evolutionary Conservation of the Length of Antibiotic Microcin C Peptide Precursor. MBio, 10(2). https://doi.org/10.1128/mBio.00768-19
- Smirnova, V. V, Shestakova, E. D., Bikmetov, D. V, Chugunova, A. A., Osterman, I. A., Serebryakova, M. V, … Terenin, I. M. (2019). eIF4G2 balances its own mRNA translation via a PCBP2-based feedback loop. RNA (New York, N.Y.), 25(7), 757–767. https://doi.org/10.1261/rna.065623.118
CONFERENCES
April, 2015
XII Student Conference, Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow, Russia
Poster presentation: «mTOR inhibitor Torin2 affects p73 level and cell growth»
April, 2014
XI Student Conference, Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow, Russia
Poster presentation: «Redox reactions coupled to diffusion of SkQ hydrophobic cations across lipid membrane»
AWARDS
2019
Russian National Student Olympiad «I am a professional» awardee
2016
Travel grant for the summer school at the Osnabrueck University, Germany. Granted by the Faculty of Bioengineering and Bioinformatics for top 4 fourth year students
2009, 2010, 2011
Russian National School Olympiad in Biology 4th (final) round winner
TECHNICAL SKILLS
Programming
Python (including SciPy, NumPy and Pandas), R, Bash
Miscellaneous computer skills
Linux, Git, Docker, Conda, Jupyter Notebook, HTML & CSSs
Data analysis
Inferencial and descriptives statistics, cluster analysis, compositional data analysis
NGS data analysis
Analysis of RNA-Seq and ribosome profiling (Ribo-Seq) data
Bioinformatics
Basic bioinformatic skills (alignment, databases, profile hmms, etc.), comparative genomics, biosynthetic gene clusters prediction and annotation, phylogenetic analysis
Molecular biology techniques
Molecular cloning, protein extraction and purification, Western blotting, in vitro transcription, cell-free translation, maintaining mammalian cell lines
LANGUAGES
- Russian (native speaker)
- English (fluent)
SUMMER SCHOOLS
July, 2016
Summer school "Biomembranes & Cellular Microcompartments",
Osnabrueck University, Germany
TEACHING
August, 2018
Summer School on molecular biology for bachelor students,
Skolkovo Institute of Science and Technology, Moscow, Russia
A Lecture and a seminar on bioinformatic methods of antibiotic discovery
2017 - 2018
Extra classes on advanced biology for high school students
REFERENCES
Dr. Konstantin Severinov
Professor, Head of the Laboratory
Waksman Institute, Piscataway, NJ, USA
Professor, Head of the Laboratory
Skolkovo Institute of Science and Technology, Moscow, Russia
Dr. Alexander Mankin
Dr. Dmitry Andreev
Senior research fellow
A.N. Belozersky Institute of Physico-Chemical Biology, Moscow, Russia


This module renders the information stored in a custom field (also known as an extended database field) attached to the CRM record that is currently logged into your site's front-end.
{module_customerfield,extended database id,custom field id}
There are basically two ways you can get the IDs for that particular module:
Use the Update User Details form
Manually getting the IDs


{% load staticfiles %} {% include 'profile_navbar.html' %} {% load crispy_forms_tags %} {% block content %}
First name is {{ user.first_name }}. Change to:
Last name is {{ user.last_name }}. Change to:
Gender is {{ user.profile.gender }}. Change to:
Year of study is {{ user.profile.study_year }}. Change to:
Degree is {{ user.profile.degree_programme }}. Change to:
Preferred subject area is {{ user.profile.degree_major }}. Change to:
Preferred mentee gender is {{ user.profile.mentor_gender }}. Change to:
Maximum number of mentees is {{ user.profile.mentee_number }}. Change to:
Preferred mentor gender is {{ user.profile.mentor_gender }}. Change to:


Where would you like to go?
What kind of weather do you like
Wet Rainy Days
Cold Snowy Days
Hot Summer Days
Which word describes you best?
Cultured
Adventurous
Laid Back
Which of these is the reason you most want to go on vacation?
Change of Scenery
Explore New Cities
Unwind and Relax
What's your favorite outdoor activity?
Biking
Outdoor? Eew!
Laying Out
Pick a dream home
Apartment with City views
A Five Star Hotel Room
Beach House
You should vacation at Portland
You should vacation at NY
You should vacation at Hawaii


This document is the API specification for the AWS AI toolkit for DJL.
The aws-ai module contains classes that make it easy for DJL to access AWS services.
You can use this toolkit to load models from AWS S3 bucket directly:
// Set model zoo search path system property. The value can be // comma delimited url string. You can add multiple s3 url. // The S3 url should point to a folder in your s3 bucket. // In current implementation, DJL will only download files directly // in that folder. The archive file like .zip, .tar.gz, .tgz, .tar.z // files will be extracted automatically. This is useful for the models // that are created by AWS SageMaker. // The folder name will be interpreted as artifactId and modelName. // If your model file has a different name then the folder name, you // need use query string to tell DJL which model you want to load. System.setProperty("ai.djl.repository.zoo.location", "s3://djl-misc/test/models/resnet18?model_name=resent18_v1"); Criteria<Image, Classifications> criteria = Criteria.builder() .optApplication(Application.CV.IMAGE_CLASSIFICATION) .setTypes(Image.class, Classifications.class) .optArtifactId("ai.djl.localmodelzoo:resnet18") .optProgress(new ProgressBar()) .build(); ZooModel<Image, Classifications> model = criteria.loadModel();


| List Of Bangalore Emergency Numbers |
| Bangalore Emergency Numbers | Phone No. |
| City railway station | 22871057 |
| Police | 100 |
| Airport | 25232153 |
| Traffic or Accidents | 103 |
| Fire | 101 |
| Water supply complaints | 22275170 |
| Helpline for telephone | 1959 |
| Electricity complaint | 22252035 |
| Government of India Tourist Office | 25585417 |
| Bangalore Blood Banks And Ambulances | Phone No. |
| Chaitra ambulance | 25527737 |
| Gayathri hospital | 23352085 |
| Indian Red Cross Society | 22264205 |
| Mallya hospital | 22242325 |
| Ramakrishna nursing home | 26633148 |
| Dr. Shivaji Rao's blood bank | 22224044 |
| Karnataka Red Cross blood bank | 22268435 |
| Lion's blood bank | 22266807 |
| Minerva voluntary blood bank | 26574830 |
| Unique blood bank | 26700685 / 26709970 |
| Public Utilities | Phone No. |
| BWSSB CentralisedComplaints (IVRS) | 22945114 |
| BMP Control Room | 22945114 |
| BESCOM Service Centralised Complaints | 22267118/1600-33-8017 |
| KSRTC Control Room | 22872050 |
| KSRTC Enquiries | 22873377 |
| L.P.G. Emergency Services/th> | Phone No. |
| For Entire Bangalore City | 23349011 |
| Gas Leakage Complaints Only/td> | 25264108 |