Pinned Repositories
AlphaTree-graphic-deep-neural-network
将深度神经网络中的一些模型 进行统一的图示，便于大家对模型的理解
awesome-deep-learning-papers
The most cited deep learning papers
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
deep-reinforcement-learning-papers
A list of papers and resources dedicated to deep reinforcement learning
distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers
fastFM
fastFM: A Library for Factorization Machines
GNNPapers
Must-read papers on graph neural networks (GNN)
ijcai-18-top2-single-mole-solution
复赛第二名单模型方案，没有特征选择没有调参LGB单模型857个特征
lectures
Oxford Deep NLP 2017 course
laughatwho's Repositories
laughatwho/AlphaTree-graphic-deep-neural-network
将深度神经网络中的一些模型 进行统一的图示，便于大家对模型的理解
laughatwho/awesome-deep-learning-papers
The most cited deep learning papers
laughatwho/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
laughatwho/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
laughatwho/deep-reinforcement-learning-papers
A list of papers and resources dedicated to deep reinforcement learning
laughatwho/distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers
laughatwho/fastFM
fastFM: A Library for Factorization Machines
laughatwho/GNNPapers
Must-read papers on graph neural networks (GNN)
laughatwho/ijcai-18-top2-single-mole-solution
复赛第二名单模型方案，没有特征选择没有调参LGB单模型857个特征
laughatwho/lectures
Oxford Deep NLP 2017 course
laughatwho/RSPapers
Must-read papers on Recommender System.
laughatwho/scikit-learn
scikit-learn: machine learning in Python
laughatwho/svmlight-loader
Fast and memory-efficient svmlight / libsvm file loader for Python.
laughatwho/unify_model
laughatwho/Visual-Features-and-Latent-Factors-for-Movie-Recommendation