for-ever-ly

AdversarialNetsPapers

Awesome paper list with code about generative adversarial nets

Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress

Papers on Graph neural network(GNN)

schnetpack

SchNetPack - Deep Neural Networks for Atomistic Systems

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

awesome-reinforcement-learning-zh

中文整理的强化学习资料（Reinforcement Learning）

team-learning-nlp

主要存储Datawhale组队学习中“自然语言处理”方向的资料。

word2vec

Automatically exported from code.google.com/p/word2vec

pumpkin-book

《机器学习》（西瓜书）公式详解

exercise

exercise for nndl

DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

EngDaily

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

GNNPapers

Must-read papers on graph neural networks (GNN)

GNN_note

图神经网络整理

new-pac

翻墙-科学上网、自由上网、免费科学上网、免费翻墙、油管youtube、fanqiang、VPN、一键翻墙浏览器，vps一键搭建翻墙服务器脚本/教程，免费shadowsocks/ss/ssr/v2ray/goflyway账号/节点，翻墙梯子，电脑、手机、iOS、安卓、windows、Mac、Linux、路由器翻墙、科学上网

SparkCTR

CTR prediction model based on spark(LR, GBDT, DNN)

Ad-papers

Papers on Computational Advertising

spotlight

Deep recommender models using PyTorch.

SparrowRecSys

A Deep Learning Recommender System

recommenders

Best Practices on Recommendation Systems

FuxiCTR

A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

Recommend-System

深度学习与推荐系统学习，理论结合代码更香。

CS-Books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

awesome_Chinese_medical_NLP

中文医学NLP公开资源整理：术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc

Medical_NLP

Medical NLP Competition, dataset, large models, paper

recommendation

推荐系统实例

Movie_Recommend

基于Spark的电影推荐系统，包含爬虫项目、web网站、后台管理系统以及spark推荐系统

recsys_core

[推荐系统] Based on the scoring data set, the recommendation system is built with FM and LR as the core(基于评分数据集，构建以FM和LR为核心的推荐系统).

spark-pagerank

PageRank in Spark