Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Representation learning on large graphs using stochastic graph convolutions.

Implementation of Graph Convolutional Networks in TensorFlow

tensorflow实战练习，包括强化学习、推荐系统、nlp等

自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子…

A very simple framework for state-of-the-art Natural Language Processing (NLP)

A Flexible and Powerful Parameter Server for large-scale machine learning

Play couplet with seq2seq model. 用深度学习对对联。

The Sphinx documentation generator

Reinforced Recommendation toolkit built around pytorch 1.7

Generate embeddings from large-scale graph-structured data.

Word2vec, Fasttext, Glove, Elmo, Bert, Flair pre-train Word Embedding

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Building Agents with Imagination: pytorch step-by-step implementation

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

The basic distribution probability Tutorial for Deep Learning Researchers

Deep Q-learning for playing flappy bird game

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

All Algorithms implemented in Python

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai')…

This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"

Yet another prioritized experience replay buffer implementation.

🌈谷粒-Chrome插件英雄榜, 为优秀的Chrome插件写一本中文说明书, 让Chrome插件英雄们造福人类~ ChromePluginHeroes, Write a Chinese manual for the excellent Chrome plugin, let the Chrome plugin heroes benefit the human~ 公众号「0加1」同步更新

An optimizer that trains as fast as Adam and as good as SGD.

我是依扬（木易杨），公众号「高级前端进阶」作者，每天搞定一道前端大厂面试题，祝大家天天进步，一年后会看到不一样的自己。