Data Science by ODS.ai 🦜 – Telegram
Data Science by ODS.ai 🦜
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First Telegram Data Science channel. Covering all technical and popular staff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. To reach editors contact: @malev
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The research of Karpathy, which he will be presenting at Re Work Deep Learning Summit in January
Torch:
Twitter Cortex releases a new Autograd package, where the granularity of automatic differentiation is at the level of torch.* tensor operations.

This finer level of granularity allows one to quickly prototype new functions without worrying about writing the gradient computations as well. The autograd package is compatible with our nn framework, so the heaviest parts of your neural networks are still very fast.
https://github.com/twitter/torch-autograd
okay, if you didn't miss, there is tensorflow
A neural net - deep learning - machine learning library
Now NN can generate new faces. Just like in Matrix movie
Finally, there is Reinforcement Learning for MOBA (games like DoTA / Heroes of the Storm / League Of Langues). It was published several months ago in Korea , which demonstrates squad of agents fight each other in league of legend like mini game. (6 layers with LSTM/MaxOut).

The mini game has two champions which have unique skill sets and attributes, which can buff/debuff targets including themselves.

So, there is a hot start for those, who want to start digging in this direction

https://onedrive.live.com/view.aspx?resid=166F2AF156F7AB19!1089&ithint=file%2cpptx&app=PowerPoint&authkey=!AA1FLzme4BNhWUE

https://www.youtube.com/watch?v=e1eTJvS_Inw