Towards a general-purpose foundation model for computational pathology - Nature Medicine

Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024

MiniCPM-Llama3-V 2.5: A GPT-4V Level Multimodal LLM on Your Phone

An open-source implementation for training LLaVA-NeXT.

Fine-Tuning an Azure OpenAI Model using Studio and Python SDK

nuclei.io: Human-in-the-loop active learning framework for pathology image analysis

The official implementation of paper "LESS: Label-efficient multi-scale learning for cytological whole slide image screening" accepted at Medical Image Analysis

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Paper List for In-context Learning 🌷

PMC-VQA is a large-scale medical visual question-answering dataset, which contains 227k VQA pairs of 149k images that cover various modalities or diseases.

Code for the MedRAG toolkit

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

TCGA Pathology Reports in Machine Readable Text

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Curated papers on Large Language Models in Healthcare and Medical domain

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

I hope this repo can help you a lot!

A curated list of prompt-based paper in computer vision and vision-language learning.

The official Pytorch implementation of paper "Community-Aware Transformer for Autism Prediction in fMRI Connectome" accepted by MICCAI 2023

❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119

Methods and Implements of Deep Clustering

Code for CRATE (Coding RAte reduction TransformEr).

🧮 A collection of resources to learn mathematics for machine learning

[ICCV 2023 Oral] Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification

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

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)