Stars
历年ICLR论文和开源项目合集，包含ICLR2021、ICLR2022、ICLR2023、ICLR2024、ICLR2025.
⏰ Collaboratively track worldwide conference deadlines (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Interactive Pytorch forward pass visualization in notebooks
【MICCAI 2024, Early Accept】Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models
A Comprehensive Toolkit for High-Quality PDF Content Extraction
[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
[AAAI' 25] U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
Segment Anything for Medical Imaging
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
The Most Faithful Implementation of Segment Anything (SAM) in 3D
[ICCV 2025] STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
A package to compute medical segmentation metrics.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A generative world for general-purpose robotics & embodied AI learning.
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
[CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
Segment Anything in Medical Images