bioinfomagic Goto Github PK

bcss

Use this to download all elements of the BCSS dataset described in: Amgad M, Elfandy H, ..., Gutman DA, Cooper LAD. Structured crowdsourcing enables convolutional segmentation of histology images. Bioinformatics. 2019. doi: 10.1093/bioinformatics/btz083

big_vision

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

breast-cancer-detection

Breast Cancer Detection Using Machine Learning

captk

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

cbica_toolkit

This is a toolkit with basic functionality to help C++ projects

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

encode-e2g

encode_dataset_processing

Code to get the encode datasets that will get run through ABC + Encode-rE2G

fastchat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

figuregenerator

This helps creating high quality figures for use in manuscripts and presentations.

generative-foundation-ai-assistant-for-pathology

gpt-sovits

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

greedy

Very fast greedy diffeomorphic registration code

grok-1

Grok open release

histomicsui

A Girder plugin for pathology image annotations and analysis.

iciar2018

Our solution for ICIAR 2018 Grand Challenge

jetmoe

Reaching LLaMA2 Performance with 0.1M Dollars

keras-openslidegenerator

Keras ImageDataGenerator class for OpenSlide images (e.g., .svs pathological slides) with polygonal annotations.

llama-factory

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

llava

[NeurIPS'23 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities.

llava-med

Large Language-and-Vision Assistant for BioMedicine, built towards multimodal GPT-4 level capabilities.

mapath

QuPath - Bioimage analysis & digital pathology

next-vit

paddleclas

A treasure chest for visual classification and recognition powered by PaddlePaddle

pandoc

Universal markup converter

pathologyfoundation

plip

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI. PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

pmc-llama

The official codes for "PMC-LLaMA: Towards Building Open-source Language Models for Medicine"

prov-gigapath

Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data