The more you go in data analysis, the more you understand that the most suitable tool for coding and visualizing is not a pure code, or SQL IDE, or even simplified data manipulation diagrams (aka w…

For the past month, we ranked nearly 250 Machine Learning Open Source Projects to pick the Top 10.

Поговорим о внутреннем устройстве Алисы, голосового помощника компании Яндекс. Борис Янгель рассказывает,, как его команда учит Алису понимать желания пользователя, находить ответы на самые неожиданные вопросы и, при этом, вести себя прилично.

Contribute to Miej/Dynamic_Neural_Manifold development by creating an account on GitHub.

This project is a tool to build CheXNet-like models, written in Keras. - brucechou1983/CheXNet-Keras

We are proud to announce the beta release series of JupyterLab, the next-generation web-based interface for Project Jupyter.

Keras implementations of Generative Adversarial Networks. - eriklindernoren/Keras-GAN

This guide will show you how to deploy and scale your deep learning model in production using Keras, Redis, Flask, and Apache.

A large, single-speaker speech dataset in English

Нейронные сети учатся совсем не так как люди. Оптимизация нейронной сети — на самом деле градиентный спуск по некоторой функции потерь , где переменными...

For the past month, we ranked nearly 1,400 Machine Learning articles to pick the Top 10 stories.

PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.) - yhs-968/pyGRU4REC

pt-dilate-rnn - Dilated RNNs in pytorch

Chess reinforcement learning by AlphaGo Zero methods. - Zeta36/chess-alpha-zero

An open source framework for configuring, building, deploying and maintaining deep learning models in Python.

Deep Learning Book Club

View the code on Gist.

In 2014, Szegedy et al.  published an ICLR paper with a surprising discovery: modern deep neural

i-RevNet Pytorch Code. Contribute to jhjacobsen/pytorch-i-revnet development by creating an account on GitHub.