jastfkjg's Stars
juyongjiang/Cold-Start-RecSys
Papers, codes , and framewroks that used in Recommender System to solve code-start challenge problem.
sylar-yin/sylar
C++高性能分布式服务器框架,webserver,websocket server,自定义tcp_server(包含日志模块,配置模块,线程模块,协程模块,协程调度模块,io协程调度模块,hook模块,socket模块,bytearray序列化,http模块,TcpServer模块,Websocket模块,Https模块等, Smtp邮件模块, MySQL, SQLite3, ORM,Redis,Zookeeper)
miloyip/json-tutorial
从零开始的 JSON 库教程
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
pallets/flask
The Python micro framework for building web applications.
wzhe06/SparrowRecSys
A Deep Learning Recommender System
jundongl/scikit-feature
open-source feature selection repository in python
wzhe06/SparkCTR
CTR prediction model based on spark(LR, GBDT, DNN)
tensorflow/ranking
Learning to Rank in TensorFlow
hongleizhang/RSPapers
A Curated List of Must-read Papers on Recommender System.
amhndu/SimpleNES
An NES emulator in C++
SheffieldML/GPy
Gaussian processes framework in python
WilsonWangTHU/mbbl
RchalYang/RLPaperList
Personal Repo to keep track of RL papers
rail-berkeley/rlkit
Collection of reinforcement learning algorithms
ermongroup/CalibratedModelBasedRL
Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
junhyukoh/deep-reinforcement-learning-papers
A list of recent papers regarding deep reinforcement learning
mcgillmrl/prob_mbrl
A library of probabilistic model based RL algorithms in pytorch
wzhe06/Ad-papers
Papers on Computational Advertising
recommenders-team/recommenders
Best Practices on Recommendation Systems
wzhe06/Reco-papers
Classic papers and resources on recommendation
robi56/Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
google-deepmind/dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
kchua/handful-of-trials
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
tigerneil/awesome-deep-rl
For deep RL and the future of AI.
floodsung/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
maxbrenner-ai/GO-Bot-DRL
Goal-Oriented Chatbot trained with Deep Reinforcement Learning
jasonwu0731/trade-dst
Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743
MaLei666/Spider
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