FDG2801

VISTA

MONAI Versatile Imaging Segmentation and Annotation

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

HTRU2-dataset-classification

"Machine learning and pattern recognition" labs & project @ Politecnico di Torino, a.y. 2020/2021.

vehicle_classification

research-method

论文写作与资料分享

ViT-V-Net_for_3D_Image_Registration_Pytorch

Vision Transformer for 3D medical image registration (Pytorch).

LLMsPracticalGuide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

automated-explanations

Explain a black-box module in natural language.

OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

gpt-engineer

Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

RadImageNet

RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning for medical imaging applications.

BiomedGPT

BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

interpretable-ml-book

Book about interpretable machine learning

MedCLIP

EMNLP'22 | MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts

Awesome-Diffusion-Models-in-Medical-Imaging

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

CLIP-Driven-Universal-Model

[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

Semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

RevisitingCIL

Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)

ML-techniques-for-State-Estimation

This repo contains the code of my Master's Thesis. Specifically, it consists in exploring different techniques(Explanable AI, Physics Informed NN, ...) to perform State Estimation

UniverSeg

UniverSeg: Universal Medical Image Segmentation

Lifelong-nnUNet

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

SAM-Medical-Imaging

Med-BERT

Med-BERT, contextualized embedding model for structured EHR data

SOTA-MedSeg

SOTA medical image segmentation methods based on various challenges

MEDIMP

Source code for "MEDIMP: 3D Medical Images with clinical Prompts from limited tabular data for renal transplantation", MIDL 2023, https://openreview.net/forum?id=jt-ochRhqG.

consistency_models

Official repo for consistency models.