adamdad/awesome-anything

AI methods for Anything: AnyClass, AnyObject, AnyGeneration, AnyModel

Awesome-Anything

A curated list of general AI methods for Anything: AnyClass, AnyObject, AnyGeneration, AnyModel, etc. Contributions are welcome!

Anything

Title & Authors	Intro	Useful Links
Segment Anything Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alex Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick		[Github] [Page] [Demo]
[Grounded-SAM (Project)] Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection Shilong Liu and Zhaoyang Zeng and Tianhe Ren and Feng Li and Hao Zhang and Jie Yang and Chunyuan Li and Jianwei Yang and Hang Su and Jun Zhu and Lei Zhang		[Github] [Demo]
[segment-anything-video (Project)] Kadir Nar		[Github]
[segment-any-moving (Prject)] Towards Segmenting Anything That Moves Achal Dave, Pavel Tokmakov, Deva Ramanan		[Github]
[Stable-Diffusion (Project)] High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach and Andreas Blattmann and Dominik Lorenz and Patrick Esser and Björn Ommer		[Github] [Page] [Demo]

AnyModel

Titile & Authors	Intro	Useful Links
[Jarvis (Project)] HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang		[Github] [Demo]
TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs Yaobo Liang, Chenfei Wu, Ting Song, Wenshan Wu, Yan Xia, Yu Liu, Yang Ou, Shuai Lu, Lei Ji, Shaoguang Mao, Yun Wang, Linjun Shou, Ming Gong, Nan Duan		[Github]
[MQBench (Project)] MQBench: Towards Reproducible and Deployable Model Quantization Benchmark Yuhang Li and Mingzhu Shen* and Jian Ma* and Yan Ren* and Mingxin Zhao* and Qi Zhang* and Ruihao Gong* and Fengwei Yu and Junjie Yan*		[Github] [Page]
[Torch-Pruning (Project)] DepGraph: Towards Any Structural Pruning Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang		[Github] [Demo]
[Only Train Once (Project)] OTOv2: Automatic, Generic, User-Friendly Tianyi Chen, Luming Liang, Tianyu Ding, Ilya Zharkov		Github

AnyX

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