Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
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Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Official git repository for Biopython (originally converted from CVS)
Official repository for the Boltz biomolecular interaction models
Biomni: a general-purpose biomedical AI agent
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Repository for the main Dockerfile with the OpenWorm software stack and project-wide issues
Single-cell analysis in Python. Scales to >100M cells.
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Chai-1, SOTA model for biomolecular structure prediction
Biological foundation modeling from molecular to genome scale
🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
An open-source application for biological image analysis
Cloud-native genomic dataframes and batch computing
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
Python package for graph neural networks in chemistry and biology
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Generative biopolymer design with rich conditioning.
The repository host gives no description.
Graph-linked unified embedding for single-cell multi-omics data integration
A dependency-free cross-platform swiss army knife for PDB files.
Open Frontier Biomolecular Intelligence
Schema and generated objects for biolink data model and upper ontology
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.