- Awesome Computer Vision from Ji-Bin Huang [Topic list, books, papers, courses, datasets, blogs, resources,...]
- Awesome Computer Vision [Topic list, Repositories collection]
- Awesome Survey Papers [List of survey papers on CV]
- Deep Learning models from Sebastian Raschka [Pytorch DL architectures, models, and tips]
- PyTorch Image Models from RossWightman [Code Pytorch]
- Awesome Deep Vision [Papers, courses, books]
- Torch Optimizer [Papers & lib Pytorch]
- Deep Learning Papers Reading Roadmap [Paper]
- Deep Learning for Tracking and Detection [Papers & codes collection]
- DL Cheatsheet [Cheatsheet]
- Attention and Vision Transformer:
- Awesome Vision Attentions [Papers only]
- Awesome Visual Transformer [Papers & codes]
- Awesome VIT [Papers and mind map]
- Awesome Transformer in CV [Papers & insights]
- Few-shot Learning:
- Awesome Papers Few-shot [Papers & codes]
- Few-Shot Classification Leaderboard [Leaderboard, papers, and code]
- Meta Learning Papers [Papers]
- Awesome Zero-Shot Learning [Papers, codes, & datasets]
- Few-Shot Semantic egmentation Papers [Papers & codes]
- Mathematics For Machine Learning [Book, implement code]
- Awesome CS Courses [Courses]
- Awesome tips from Ji-Bin Huang [Research, Writing skills,...]
- Ph.D. Guidance [Advices and experiences for grad school]
- Deep Learning interview [Book]