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"

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

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

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

Recognize bio-medical entities from a text corpus

MedType: Improving Medical Entity Linking with Semantic Type Prediction

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