​​Facebook has released #PyText — new framework on top of #PyTorch.

This framework is build to make it easier for developers to build #NLP models.

Link: https://code.fb.com/ai-research/pytext-open-source-nlp-framework/

One of the four best #NIPS2018 papers on new #ODEnet architecture, which can be used in #healthcare for predicting patient health.

Link: https://www.technologyreview.com/s/612561/a-radical-new-neural-network-design-could-overcome-big-challenges-in-ai/

Quick poll, please fill where are you from: https://goo.gl/forms/AacYr2lDzxBg1vpf2

Poll is available until GMT 23:59 16.12. Please, vote, this will affect content as well as other activities, which can be created for our community.

We need to hit 500+ responses to have statistically correct results.

🛎🚨Judjing by first answers, we won’t trouble a lot of people with notification, so if you haven’t voted, please vote in the poll above.

And since we are addressing the issue, we are sorry for notifications you recieve when we post something through bot (which we use to add reactions), but there is no option to preserve channel muting.

hey, we have 295 so far, and it is awesome, thank you!
It means that 15% of post viewers filled the questionnaire form of one question.

We kindly ask you to fill in if you haven’t yet, because we need 200 more responses to make this poll statistically significant!

💪🎆🎇 🎉we did it! 665 responses collected so far!
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Jax is NumPy on CPU and GPU with automatic differentiation and JIT compilation.

Link: https://github.com/google/jax

And, channel statistics, as promised. You can look at the numbers at: https://docs.google.com/spreadsheets/d/1_y6ojxU7svUAmPViqWveUf0yVLqoZyukJTGikcC_5hQ.

And again, thank you for your support!

A Bag of Tricks for Image Classification

1. Large batch size
2. Mini model-tweaks
3. Refined Training Methods
4. Transfer Learning
5. Fancy Data Augmentation
https://link.medium.com/fzJvIBfsJS

#CV #tipsandtricks

Bayesian Optimization in AlphaGo

How latest AlphaGo agent win rate was improved from 50% to 66.5%.

ArXiV: https://arxiv.org/abs/1812.06855

​​Facebook have created and now open-sourced Nevergrad, a Python3 library that claims making easier to perform gradient-free optimizations.

Link: https://code.fb.com/ai-research/nevergrad/
Github: https://github.com/facebookresearch/nevergrad

Smart Compose: Using Neural Networks to Help Write Emails

Google shared some information about their new feature. Most important: they claim to focus on Fairness and Privacy, training on completely anonimized data and trying to eliminate biases.

Link: https://ai.googleblog.com/2018/05/smart-compose-using-neural-networks-to.html

#Google #SmartCompose #FairAI #Privacy

​​Reproducing high-quality singing voice
with state-of-the-art AI technology.

Some advance in singing voice synthesis. This opens path toward more interesting collaborations and sythetic celebrities projects.

P.S. Hatsune Miku's will still remain popular for their particular qualities, but now there is more room for competitors.

Link: https://www.techno-speech.com/news-20181214a-en

#SOTA #Voice #Synthesis

Deep learning cheatsheets, covering content of Stanford’s CS 230 class.

CNN: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-convolutional-neural-networks
RNN: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks
TipsAndTricks: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-deep-learning-tips-and-tricks

#cheatsheet #Stanford #dl #cnn #rnn #tipsntricks

​​Overview of current state of autonomously driving vehicle by Ben Evans.

Not so technical overview of where first autonomous vehicles will become commodity.

Link: https://www.ben-evans.com/benedictevans/2018/3/26/steps-to-autonomy

​​Creating super slow motion videos by predicting missing frames using a neural network, instead of simple interpolation. With code.

Github: https://github.com/avinashpaliwal/Super-SloMo
Website: https://people.cs.umass.edu/~hzjiang/projects/superslomo/

🎈🎊Geoff Hinton was named Companion of the Order of Canada (highest Canadian honor).

Hinton — one of the pioneers of the Deep Leaning, author of the famous «Neural Networks» on Coursera, one of the creators of the modern ML industry.

Congratulations!

https://www.gg.ca/en/media/news/2018/governor-general-announces-103-new-appointments-order-canada

​​Scaling Uber’s Apache Hadoop Distributed File System for Growth

Post on how #Uber team handles #Hadoop challenges.

https://eng.uber.com/scaling-hdfs/

#BigData #HDFS