Cardiac sub-structure segmentation using the SMIT model

DeepSeek Harness: Everything is a Plugin.

Claude Code's Source Code & Breakdown from a leaked map file in their NPM registry

Official Repo for ICLR 2026 Paper ‘’TumorChain: Interleaved Multimodal Chain-of-Thought Reasoning for Traceable Clinical Tumor Analysis‘’

[npj Digital Medicine] A generalizable 3D framework and model for self-supervised learning in medical imaging

[CVPR 2024] Official implementation of "Universal Segmentation at Arbitrary Granularity with Language Instruction"

A curated list of foundation models for vision and language tasks

This repo lists relevant papers summarized in our survey paper: A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

Port of Facebook's LLaMA model in C/C++

Instruct-tune LLaMA on consumer hardware

Official codebase used to develop Vision Transformer, MLP-Mixer, LiT and more.

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

[ECCV2022] Official pytorch implementation of UniMiSS

Self distilled masked transformer based segmentor used in MICCAI 2022 paper by Jiang J, ... Veeraraghavan H et.al

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion

Learning Gradient Fields for Shape Generation

Denoising Diffusion Probabilistic Models

A collection of loss functions for medical image segmentation

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

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

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and rela…

A Simple and Versatile Framework for Object Detection and Instance Recognition

Semantic Image Synthesis with SPADE

StyleGAN2 - Official TensorFlow Implementation