Qing Wang's repositories
AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
Andrew-Ng-Machine-Learning-Notes
The offical notes of Andrew Ng Machine Learning in Stanford University
ChatLearner
A simple chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.
cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
data_efficient_grammar
[ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
deep-learning-python
PyTorch and TensorFlow for deep learning
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Delving-deep-into-GANs
Generative Adversarial Networks (GANs) resources sorted by citations
kdrg-dl-meeting
Paper
KeSyren.github.io
Qing Wang's Homepage
leetcode-linghu-templete
算法面试必备，推荐刷题网站www.lintcode.com。北大学霸的《LeetCode刷题模板》+V领取: jiuzhangfeifei
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
neural-symbolic-machines
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.