Starred repositories
Knowledge graph embedding library bridging encoders from PyG and decoders from TorchKGE
Free, open-source web app for learning about ontologies and Microsoft Fabric IQ. Explore a catalogue of pre-built ontologies, design your own visually, export as RDF/XML, and share interactive diag…
Stitchr - a Python script to stitch together coding TCR nucleotide sequences from V, J, and CDR3 info
Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
Garry's Opinionated OpenClaw/Hermes Agent Brain
Input expressions of antibodies in AbML format and output drawings of their shape
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
A python library for self-supervised learning on images.
optimizer & lr scheduler & loss function collections in PyTorch
Browser-based ontology workbench for OWL ontologies and SKOS vocabularies. Streamlit + rdflib, no Java, no Protégé. Bulk operations, OWL-RL reasoning, gist upper-ontology starters, merge-aware impo…
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Curated list of the best truly open-source AI projects, models, tools, and infrastructure.
A SPARQL database, RDF Stream Processing Engine and RDF toolkit, supporting Neurosymbolic Stream Reasoning
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
Python AI, ML, DL, NLP and GAN exploration playground.
Collaborative cheatsheets for console commands 📚.
Unified Schema-Based Information Extraction
Sources for the RDF/SPARQL 1.2 tutorial website
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
List of software packages for multi-omics analysis
Ryu, a fork of Kuzu, is an Embedded Property Graph Database built for speed with vector search and full-text search built in. Implements Cypher.
GPU-Accelerated RDF2Vec – A high-performance GPU implementation of RDF2Vec that harnesses CUDA and RAPIDS to generate scalable, embeddings for large dense knowledge graphs.
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Protein sequence domain annotation with a language model
Implementation of Alphafold 3 from Google Deepmind in Pytorch