stroeve

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

  4k476

• protogenesis/NewConceptEnglish

  English for Chinese, 新概念英语笔记,英语学习资料

  Language:HTML28861

• conanhujinming/comments-for-awesome-courses

  名校公开课程评价网

  Language:Python3k285

• 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。

  Language:HTML36.6k4.1k

• tsyw/MachineLearningNotes

  My personal notes

  1.6k416

• shuhuai007/Machine-Learning-Session

  5.1k1.1k

• heibaiying/BigData-Notes

  大数据入门指南 :star:

  Language:Java15.7k4.2k

• 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

  Language:Python17.7k3.7k

• 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。

  Language:Jupyter Notebook817369

• datawhalechina/joyful-pandas

  pandas中文教程

  Language:Jupyter Notebook4.6k1.9k

• jjbrophy47/machine_unlearning

  Existing Literature about Machine Unlearning

  75096

• tamlhp/awesome-machine-unlearning

  Awesome Machine Unlearning (A Survey of Machine Unlearning)

  Language:Jupyter Notebook69651

• joeljang/knowledge-unlearning

  [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models

  Language:Python6712

• Guang000/Awesome-Dataset-Distillation

  A curated list of awesome papers on dataset distillation and related applications.

  Language:HTML1.3k125

• yangzhou12/NCRL

  Implementation of None Class Ranking Loss for Document-Level Relation Extraction

  Language:Python131

• npxiaoying/Social-Recommendation

  Summary of social recommendation papers and codes

  19630

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python20.9k3.6k

• CRIPAC-DIG/GRACE

  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

  Language:Python30455

• ChandlerBang/awesome-self-supervised-gnn

  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

  Language:Python1.5k162

• leftthomas/SimCLR

  A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

  Language:Python534112

• tsinghua-fib-lab/GNN-Recommender-Systems

  An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

  941137

• twitter-research/feature-propagation

  Language:Python7414

• 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

  1.6k220

• datawhalechina/fun-rec

  推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

  Language:Jupyter Notebook4.1k787

• wzhe06/SparrowRecSys

  A Deep Learning Recommender System

  Language:Python2.4k823

• HeartbreakSurvivor/RsAlgorithms

  all kinds of recommendation algorithms implement.

  Language:Python11548

• 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

  Language:JavaScript54.2k15.8k

• fengdu78/lihang-code

  《统计学习方法》的代码实现

  Language:Jupyter Notebook18.8k6.3k

• 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

  Language:Python6.7k1.2k

• gusye1234/LightGCN-PyTorch

  The PyTorch implementation of LightGCN

  Language:Python825219