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deepchem

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therapeutics/deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
deepchem
Country
unknown
Homepage
deepchem.io/
Documentation
unknown
Tags
biology · deep-learning · drug-discovery · hacktoberfest · materials-science · quantum-chemistry
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • allegrodrug-discovery · materials-science

    Allegro is a code for building highly scalable E(3)-equivariant interatomic potentials

  • litmatterdrug-discovery · materials-science

    Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.

  • MolDQN-pytorchdrug-discovery · materials-science

    A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

  • molecular-vaedrug-discovery · materials-science

    Pytorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"

  • nequipdrug-discovery · materials-science

    NequIP is a code for building E(3)-equivariant interatomic potentials

  • aqmequantum-chemistry

    Automated Quantum Mechanical Environments (AQME) offers transparent and reproducible workflows available for Jupyter Notebooks and command lines, including: 1) RDKit- and CREST-based conformer…

sources
  1. api.github.com/repos/deepchem/deepchem
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-03, 6917 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/26.json→ .entries["deepchem"]

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