A full spaCy pipeline and models for scientific/biomedical documents.

Visual Med-Alpaca is an open-source, multi-modal foundation model designed specifically for the biomedical domain, built on the LLaMa-7B.

🧫 A curated list of resources relevant to doing Biomedical Information Extraction (including BioNLP)

Towards Generalist Biomedical AI

For scientific volumetric data visualization in Blender.

[ICLR 2024] Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models

A unifying framework for biomedical research knowledge graphs

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

BioGrakn Knowledge Graph

[CVPR 2023 (Highlight)] Offical implementation of the paper "RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction".

(NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"

SCIRun is a Problem Solving Environment, for modeling, simulation and visualization of scientific problems. This is version 5, the upgraded version of SCIRun v4.

Full abstract relation extraction from biological texts with bi-affine relation attention networks

Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization

MedType: Improving Medical Entity Linking with Semantic Type Prediction

Recognize bio-medical entities from a text corpus

Current Challenges and Best Practice Protocols for Microbiome Analysis using Amplicon and Metagenomic Sequencing

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data

TypeDB Bio: Biomedical Knowledge Graph

Weakly supervised medical named entity classification