🎓Automatically Update FL Papers Daily using Github Actions (Update Every 12th hours)

📄 GitHub Profile

Acceptance rates for the major AI conferences

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。在线阅读地址：https://datawhalechina.github.io/key-book/

Zhihu extension built on vscode.

⚡ Dynamically generated stats for your github readmes

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

public profile on Github

深度学习经典、新论文逐段精读

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

我的Datawhale组队学习，在线阅读地址：https://relph1119.github.io/my-team-learning

📦 Collect some Asynchronous Federated Learning papers.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Collection of slides, repositories, papers about AIOps

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

A professional list of Tutorials and Surveys on DL, ML, DM, CV, NLP, Speech in top AI conferences and journals.

A list of papers and datasets about point cloud analysis (processing)

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book