molecular-vae
importedtherapeutics/molecular-vae
Pytorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/aksub99/molecular-vae
- Documentation
- unknown
- Tags
- cheminformatics · chemistry · deep-learning · drug-discovery · jupyter-notebook · machine-learning · materials-informatics · materials-science
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- MolDQN-pytorchchemistry · drug-discovery · materials-informatics · materials-science
A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
- stkcheminformatics · chemistry · 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.
- chemmldrug-discovery · materials-informatics
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
- Indigocheminformatics · chemistry · drug-discovery
Universal cheminformatics toolkit, utilities and database search tools
- Indigo-ELN-v.-2.0cheminformatics · chemistry · drug-discovery
Indigo ELN - Open Source Chemistry Electronic Lab Notebook
- rdkit-mcp-servercheminformatics · chemistry · drug-discovery
MCP server that enables language models to interact with RDKit through natural language
- api.github.com/repos/aksub99/molecular-vaeretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-03-31, 71 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 →
/v1/entries/16.json→ .entries["molecular-vae"]
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