Multi Agent Deep Reinforcement Learning to solve a Continuous Control problem with MADDPG algorithm

A collection of python Machine Learning articles and examples. You will find code related to Reinforcement Learning, Q Learning, MDP, Bellman, OpenAI solutions and others. You can watch our agents …

OpenNARS for Research 3.0+

开源机器人学学习指南

An educational resource to help anyone learn deep reinforcement learning.

It is open source ebook about TensorFlow kernel and implementation mechanism.

I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

"Deep Learning and Quantum Programming" Spring School @ Song Shan Lake

📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

A collection of research papers on decision, classification and regression trees with implementations.

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

基于膨胀卷积神经网络（Dilated Convolutions）训练好的医疗命名实体识别工具

这是我学习一个NLP教程【2019最新AI 自然语言处理之深度机器学习顶级项目实战课程】做的笔记与代码

Full implementation of YOLOv3 in PyTorch

Flickr-Faces-HQ Dataset (FFHQ)

StyleGAN - Official TensorFlow Implementation

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

100-Days-Of-ML-Code中文版

bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

A natural language modeling framework based on PyTorch

Fast and flexible AutoML with learning guarantees.

this repository accompanies the book "Grokking Deep Learning"

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

A tool for extracting plain text from Wikipedia dumps