Let us control diffusion models!

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

[Medical Image Analysis] Adversarial Data Augmentation with Chained Differentiable Transformations (AdvChain)

semi-supervised and task driven data augmentation code to improve segmentation performance

Investigating PINNs

Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation

[MICCAI-2023] Official Implementation for "UPCoL: Uncertainty-informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation"

CMT Pytorch implementation of our CVPR 2022 paper CMT: Convolutional Neural Networks Meet Vision Transformers (https://arxiv.org/pdf/2107.06263.pdf).

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Kolmogorov Arnold Networks

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

[MedIA2023] Curriculum label distribution learning for imbalanced medical image segmentation

Official Pytorch Code base for "Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model"

医学影像数据集列表 『An Index for Medical Imaging Datasets』

Implementation of ConvMixer for "Patches Are All You Need? 🤷"

Universal markup converter

Uninstall Microsoft Edge silently, through an executable or batch script.

📄 Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).

A framework for data augmentation for 2D and 3D image classification and segmentation

Medical imaging toolkit for deep learning

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