Stars
An open-source platform for developing protein models beyond AlphaFold.
Scripts, HMMs and search databases for identifying and classifying viral RdRp sequences
Fast, general, and tested differentiable structured prediction in PyTorch
Nature Biotechnology: Ultra-fast, sensitive detection of protein remote homologs using deep dense retrieval
MMseqs2 app to run on your workstation or servers
A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
Python library for calling Cytoscape Automation via CyREST
A powerful and flexible machine learning platform for drug discovery
an efficient distributed PyTorch framework
PyTorch Implementation of Deep Hierarchical Classification for Category Prediction in E-commerce System
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
An elegant PyTorch deep reinforcement learning library.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
MMseqs2: ultra fast and sensitive search and clustering suite
An Object Graph Mapper (OGM) for the Neo4j graph database.
Build a partitioned pangenome graph from microbial genomes
Anserini is a Lucene toolkit for reproducible information retrieval research
A visualisation tool for the creation and analysis of graphs
Support scripts for the visualisation of pangenome analyses in Graphia
Ultra-deep search for novel viruses
RAG based tool for indexing and searching PDF text data using OpenAI API and FAISS (Facebook AI Similarity Search) index, designed for rapid information retrieval and superior search accuracy.
Science Parse parses scientific papers (in PDF form) and returns them in structured form.