The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Business Demo for CloudWeGo

Visual tracking library based on PyTorch.

🔖 Curated list of video object segmentation (VOS) papers, datasets, and projects.

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Homepage for the joint course of Megvii Inc. and Peking University on Deep Learning.

Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection

Tensors and Dynamic neural networks in Python with strong GPU acceleration

清华主题PPT模板

Low-Rank Representation Python implementation

哈尔滨工业大学课程资料分享

哈工大（本部）计算机专业研究生课程攻略 ｜ HIT CS Postgraduate Guide

Joint model-based deep learning for parallel imaging.

Image-to-Image Translation in PyTorch

Learning-based Optimization of the Under-sampling Pattern in MRI

Learned Low Rank Prior: The easiest implementation of the deep unrolling/unfolding network for MRI reconstruction.