[ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling".

HunyuanVideo: A Systematic Framework For Large Video Generation Model

[CVPR 2024] VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis

PyTorch implementation of FINDER - FInding key players in complex Networks through DEep Reinforcement learning (Nature Machine Intelligence)

FINDER - FInding key players in complex Networks through DEep Reinforcement learning (Nature Machine Intelligence)

MixSegNet: Mixed-Supervised Learning for Medical Image Segmentation

CVPR 2025 论文和开源项目合集

DALL·E Mini - Generate images from a text prompt

Weakly Supervised Robotic Surgery Segmentation

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.

Exploring CNN and ViT for Weakly-Supervised Medical Image Segmentation

Exploring CNN and ViT for Semi-Supervised Medical Image Segmentation