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.

In this post, we implement the famous word embedding model: word2vec. Here are the paper and the original code by C.

I just finished the Coursera deep learning online program this week. The last programming assignment is about trigger word detection, aka…

30 марта 2018 г. Neurodata Lab LLC и НИУ ИТМО проводят однодневную конференцию в Санкт-Петербурге (мероприятие в Москве также запланировано на ближайшее...

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row) - GitHub - junxiaosong/AlphaZero_Gomoku: An implementation of the AlphaZero algorithm for Gomoku (also...

Думаю многие уже наслышаны о пользе открытых данных. То здесь, то там открытые данные экономят бюджет, помогают бизнесу и многое другое. Тем не менее качество...

Alia-Bhatt-style-transfer - Style Transfer - Alia Bhatt (Google Colab)

Interpretability techniques are normally studied in isolation. We explore the powerful interfaces that arise when you combine them -- and the rich structure of this combinatorial space.