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Go AI program which implements the AlphaGo Zero paper
Learning to See in the Dark. CVPR 2018
A curated list of awesome reinforcement courses, video lectures, books, library and many more.
中文整理的强化学习资料(Reinforcement Learning)
Deep Learning and deep reinforcement learning research papers and some codes
Reversi reinforcement learning by AlphaGo Zero methods.
This is the code for "How Does DeepMind's AlphaGo Zero Work?" Siraj Raval on Youtube
Chess reinforcement learning by AlphaGo Zero methods.
Deep Alternative Neural Networks for Video Understanding
A Go playing program implemented in Tensorflow roughly according to the architecture of AlphaGo. Current strength is 3~4 amateur dan.
Reading notes on deep learning papers---深度学习论文阅读笔记
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Deep universal probabilistic programming with Python and PyTorch
Coursera 机器学习基石 机器学习技法 林轩田 课堂PPT、作业及课堂笔记。
[ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
A generative model conditioned on shape and appearance.
Probabilistic reasoning and statistical analysis in TensorFlow
A curated list of resources dedicated to bayesian deep learning
A summary of my recently surveyed papers. Some papers on Arxiv with unimpressive results are not included.
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
Resources of semantic segmantation based on Deep Learning model
A list of papers on Generative Adversarial (Neural) Networks