NVIDIA/bionemo-framework
BioNeMo Framework: For building and adapting AI models in drug discovery at scale
This framework helps drug discovery scientists and researchers efficiently build and adapt AI models for biological data. It takes in raw biological data, like protein sequences or genomic information, and outputs highly optimized, ready-to-use AI models that accelerate drug discovery workflows. It is designed for computational biologists and AI/ML researchers working on large-scale drug development projects.
679 stars. Actively maintained with 26 commits in the last 30 days.
Use this if you need to rapidly train and fine-tune large biomolecular AI models using GPU-accelerated computing for drug discovery and digital biology applications.
Not ideal if you are working with small datasets, do not require high-performance computing, or are not focused on biological or drug discovery applications.
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679
Forks
126
Language
Jupyter Notebook
License
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Last pushed
Mar 13, 2026
Commits (30d)
26
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