Hexabot is an open-source AI chatbot / agent builder. It allows you to create and manage multi-channel and multilingual chatbots / agents with ease.

Kolmogorov Arnold Networks

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

Release for Improved Denoising Diffusion Probabilistic Models

Official PyTorch implementation of SegFormer

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation. (using diffusion for 3D medical image segmentation)

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

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

深度学习经典、新论文逐段精读

Config files for my GitHub profile.

Official implementation of our paper "Self-Supervised Pretraining for 2D Medical Image Segmentation"

Meidcal Image Segmentation Pytorch Version

An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit a…

This repo is the official implementation of (HSNet: A Hybrid Semantic Network for Polyp Segmentation).

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

Official PyTorch implementation of UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation (ACMMM 2021)

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Official implementation of PVT series

ISBI 2022: Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation.

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network [CBMS: Computer-Based Medical Systems 2022]

Medical Image Segmentation using Squeeze-and-Expansion Transformers

Code for A Volumetric Transformer for Accurate 3D Tumor Segmentation