yinyoupoet's Stars
weijiaheng/Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
alibaba/EasyRec
A framework for large scale recommendation algorithms.
reddit-archive/reddit
historical code from reddit.com
nchudleigh/vimac
Productive macOS keyboard-driven navigation
philc/vimium
The hacker's browser.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
THUDM/ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
toeverything/AFFiNE
There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable and ready to use.
jihoo-kim/awesome-RecSys
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
Doragd/Algorithm-Practice-in-Industry
搜索、推荐、广告、用增等工业界实践文章收集(来源:知乎、Datafuntalk、技术公众号)
RUCAIBox/Awesome-RSPapers
Recommender System Papers
guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
THUwangcy/DirectAU
KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering
shengcaishizhan/kkndme_tianya
天涯 kkndme 神贴聊房价
FenTechSolutions/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
slackhq/nebula
A scalable overlay networking tool with a focus on performance, simplicity and security
tsinghua-fib-lab/GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
Jack-Cherish/quantitative
量化交易:python3
BasioMeusPuga/Lector
Qt based ebook reader
koodo-reader/koodo-reader
A modern ebook manager and reader with sync and backup capacities for Windows, macOS, Linux and Web
jyfeather/ad-reading
跟踪计算广告涉及的召回排序模型、特征工程相关的经典论文
arslanbilal/git-cheat-sheet
:octocat: git and git flow cheat sheet
Ulysses0817/zte_text_similarity
中兴捧月杯算法大赛-图灵赛道复赛rank3
chua-n/ZTE-2020-AI-Competition
中兴捧月2020算法大赛,图灵赛道
skysunsun/Learn
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
Vay-keen/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
frank-lam/fullstack-tutorial
🚀 fullstack tutorial 2022,后台技术栈/架构师之路/全栈开发社区,春招/秋招/校招/面试