Simple, safe way to store and distribute tensors

Official Implementation for LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models

Visual Question Answering in the Medical Domain VQA-Med 2019

A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)

LoRA Finetuning을 이용한 흉부 X-ray 특화 진단 AI

An open-source framework for training large multimodal models.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

LLM finetuned for medical question answering

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

[BIONLP@ACL 2024] XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.

Instruct-tune LLaMA on consumer hardware

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

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Code, documentation, and discussion around the MIMIC-CXR database

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "

This repo for the paper titled "SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification"

DAS-MIL: Distilling Across Scales for MILClassification of Histological WSIs

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)

Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023). We publicly release Phikon 🚀

HVTSurv: Hierarchical Vision Transformer for Patient-level Survival Prediction from Whole Slide Image-AAAI 2023

Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)

This is the official repository for our CVPR 2023 paper 'Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification'.

Official repository for the code of "SparseXMIL: Leveraging spatial context for classifying whole slide images in digital pathology"

Implementation of the paper "Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology" by Tiago Gonçalves, Dagoberto Pulido-Arias, Julian Willett, Katharina V…

Deep learning library for digital pathology, with both Tensorflow and PyTorch support.