stroeve's Stars
spring2go/cs_study_plan
一份硬核(hardcore)计算机科学CS自学计划,偏向软件工程和系统架构方向
protogenesis/NewConceptEnglish
English for Chinese, 新概念英语笔记,英语学习资料
conanhujinming/comments-for-awesome-courses
名校公开课程评价网
byoungd/English-level-up-tips
An advanced guide to learn English which might benefit you a lot 🎉 . 离谱的英语学习指南/英语学习教程。
tsyw/MachineLearningNotes
My personal notes
shuhuai007/Machine-Learning-Session
heibaiying/BigData-Notes
大数据入门指南 :star:
wistbean/learn_python3_spider
python爬虫教程系列、从0到1学习python爬虫,包括浏览器抓包,手机APP抓包,如 fiddler、mitmproxy,各种爬虫涉及的模块的使用,如:requests、beautifulSoup、selenium、appium、scrapy等,以及IP代理,验证码识别,Mysql,MongoDB数据库的python使用,多线程多进程爬虫的使用,css 爬虫加密逆向破解,JS爬虫逆向,分布式爬虫,爬虫项目实战实例等
datawhalechina/team-learning-program
主要存储Datawhale组队学习中“编程、数据结构与算法”方向的资料。
datawhalechina/joyful-pandas
pandas中文教程
jjbrophy47/machine_unlearning
Existing Literature about Machine Unlearning
tamlhp/awesome-machine-unlearning
Awesome Machine Unlearning (A Survey of Machine Unlearning)
joeljang/knowledge-unlearning
[ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Guang000/Awesome-Dataset-Distillation
A curated list of awesome papers on dataset distillation and related applications.
yangzhou12/NCRL
Implementation of None Class Ranking Loss for Document-Level Relation Extraction
npxiaoying/Social-Recommendation
Summary of social recommendation papers and codes
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
CRIPAC-DIG/GRACE
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
ChandlerBang/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
leftthomas/SimCLR
A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
tsinghua-fib-lab/GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
twitter-research/feature-propagation
shenweichen/AlgoNotes
【浅梦学习笔记】文章汇总:包含 排序&CXR预估,召回匹配,用户画像&特征工程,推荐搜索综合 计算广告,大数据,图算法,NLP&CV,求职面试 等内容
datawhalechina/fun-rec
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
wzhe06/SparrowRecSys
A Deep Learning Recommender System
HeartbreakSurvivor/RsAlgorithms
all kinds of recommendation algorithms implement.
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
fengdu78/lihang-code
《统计学习方法》的代码实现
DA-southampton/NLP_ability
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
gusye1234/LightGCN-PyTorch
The PyTorch implementation of LightGCN