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PFLlib. Master Federated Learning in 2 Hours—Run It on Your PC!

BGNet. Boundary-Guided Camouflaged Object Detection

EssayTopicPredictV2. 高考作文题目预测模型 v1.0

3DUNet-Pytorch. 3DUNet implemented with pytorch

MedicalZooPytorch. A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

CABnet. Python

awesome-transformers-in-medical-imaging. A collection of resources on applications of Transformers in Medical Imaging.

CoTNet. This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

Awesome-Visual-Transformer. Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

medical_transformers. Public repo for the ICCV2021-CVAMD paper "Is it Time to Replace CNNs with Transformers for Medical Images?"

CeiT-pytorch. Implementation of Convolutional enhanced image Transformer

CVPR2026-Papers-with-Code. CVPR 2026 论文和开源项目合集

deit. Official DeiT repository

ViTGAN. A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.

UNetPlusPlus. [IEEE TMI Best Paper Award] Official Implementation for UNet++

TransFuse. This repo holds the code of TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

segmentation_models.pytorch. Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

PyMIC. Python

DGNet. Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation

cutmix-semisup-seg. Semi-supervised semantic segmentation needs strong, varied perturbations

ACELoss. Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"

ICT. Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)

CCT. :page_facing_up: Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).

External-Attention-pytorch. 🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

ST-PlusPlus. [CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

Semantic-Segmentation-Loss-Functions. This Repository is implementation of majority of Semantic Segmentation Loss Functions

asdnet. Python

TorchSemiSeg. [CVPR 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

LG-ER-MT. code for LG-ER-MT

ContrastiveSeg. ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation

UA-MT. code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.

pytorch-semseg. Semantic Segmentation Architectures Implemented in PyTorch

SSL4MIS. Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

AdversarialSemanticSegmentationKeras. Unofficial implementation of Adversarial Learning for Semi-Supervised Semantic Segmentation with tensorflow/Keras

H-DenseUNet. TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

keras-non-local-nets. Keras implementation of Non-local Neural Networks

cnn-explainer. Learning Convolutional Neural Networks with Interactive Visualization.

yolov3.keras. yolov3.keras for VOC2007

Mask_RCNN. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Keras-Tutorials. 一个面向初学者的，友好的Keras入门教程

caffe-windows. Configure Caffe in one hour for Windows users.

model_zoo. implement the mainstream object detection models

cifar-10-cnn. Play deep learning with CIFAR datasets

Mask_RCNN. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow