C++那些事

Proceedings of ICML 2018

Learn Deep Reinforcement Learning in depth in 60 days

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (A…

Convolutional Neural Network for Text Classification in Tensorflow

中国科学院大学开题报告 LaTeX 模板

Reinforcement learning resources curated

Attend to You: Personalized Image Captioning with Context Sequence Memory Networks. In CVPR, 2017.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Superset is a data exploration platform designed to be visual, intuitive, and interactive

Deep Learning Chinese Word Segment

Python code for Reinforcement Learning: An Introduction

Dynamic neural network library

Tutorial on "Practical Neural Networks for NLP: From Theory to Code" at EMNLP 2016

TensorFlow Tutorial and Examples for beginners

Implementation of state-of-art models in Torch

My Exploration on Deep Reinforcement Learning Survey