A collection of guides and examples for the Gemma open models from Google.

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

Identify cancers among skin lesions cropped from 3D total body photographs.

Implementation of basic papers

General technology for enabling AI capabilities w/ LLMs and MLLMs

A curated list of amazingly awesome financial libraries, resources and shiny things.

[MICCAI 2023] Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

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

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Simple, safe way to store and distribute tensors

LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models (ECCV 2024)

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"