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MolDQN-pytorch

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therapeutics/moldqn-pytorch

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

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

MolDQN-pytorch project image
GitHub preview card for aksub99/MolDQN-pytorch. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
chemistry · deep-learning · dqn-pytorch · drug-discovery · inverse-design · machine-learning · materials-informatics · materials-science
Regulatory
unknown
built by · 2

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.

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  • stkchemistry · materials-science

    A Python library which allows construction and manipulation of complex molecules, as well as automatic molecular design and the creation of molecular databases.

  • ai4science-studiodrug-discovery · materials-science

    How-to guides and AMD/ROCm optimization recipes for open AI-for-science models.

  • aimsdrug-discovery · materials-science

    AIMS: Artificial Intelligence for Molecular Sciences

sources
  1. api.github.com/repos/aksub99/MolDQN-pytorch
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-03-24, 84 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/0.json→ .entries["moldqn-pytorch"]

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