cagankpln
Follow
Stars
Multimodal Whole Slide Foundation Model for Pathology
This repository includes the official implementation of OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs.
Official repository for the Boltz-1 biomolecular interaction model
Classical equations and diagrams in machine learning
High accuracy RAG for answering questions from scientific documents with citations
Almanac: Retrieval-Augmented Language Models for Clinical Medicine
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024
Multimodal prototyping for cancer survival prediction - ICML 2024
HEST: Bringing Spatial Transcriptomics and Histopathology together - NeurIPS 2024 (Spotlight)
Code for our BVM workshop submission "Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays"
Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay
Towards a general-purpose foundation model for computational pathology - Nature Medicine
A vision-language foundation model for computational pathology - Nature Medicine
Fast and memory-efficient exact attention
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
Analysis of 3D pathology samples using weakly supervised AI - Cell
Deep universal probabilistic programming with Python and PyTorch
This is the development home of the workflow management system Snakemake. For general information, see
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
Segment Anything in Medical Images
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to ex…
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.