Semi-supervised Medical Image Segmentation through Dual-task Consistency

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

STUMPY is a powerful and scalable Python library for modern time series analysis

A python library for user-friendly forecasting and anomaly detection on time series.

ETNA – Time-Series Library

Open source time series library for Python

A Library for Advanced Deep Time Series Models.

Decoupled Consistency for Semi-supervised Medical Image Segmentation(MICCAI 2023)

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

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

deep learning for image processing including classification and object-detection etc.

这是各个主干网络分类模型的源码，可以用于训练自己的分类模型。

[IEEE TMI'22] DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images

Code implementation for our paper ACCEPTED in ISBI, 2022

Latex code for making neural networks diagrams

The repository contains the PyTorch implementation of "Duplex Contextual Relations for PolypSegmentation"

This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D.

This repository is an unoffical PyTorch implementation of Semi-Supervised Learning on Medical Segmentation in 2D and 3D.

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Bet…

Pytorch implementation of "Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)"

State-of-the-art 2D and 3D Face Analysis Project

PyTorch implementation of Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation, IJCAI 2022.

OpenMMLab Model Compression Toolbox and Benchmark.

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content…

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