Stars
Tensors and Dynamic neural networks in Python with strong GPU acceleration
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
verl: Volcano Engine Reinforcement Learning for LLMs
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
[TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.
The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"
[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
[ICCV 2019] Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss
Pixel-Level Reasoning Model trained with RL [NeuIPS25]
Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space
[NeurIPS 2022 Spotlight] Official implement of Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
[CVPR 2024] Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
[CVPR 2025] Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
Implementation of The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation
[IEEE TMI] Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image Segmentation