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drug_discovery

imported

data/drug-discovery

This project uses a Variational Autoencoder (VAE) to generate SMILES strings for novel compound generation. The VAE model is trained on a dataset of existing chemical compounds and can generate new,…

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

drug_discovery project image
GitHub preview card for lianghsun/drug_discovery. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
Apache-2.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
aidd · drug-discovery · python · smiles · tensorflow · vae
Regulatory
unknown
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.

  • molgendrug-discovery · smiles · vae

    Lightweight toolkit for de novo molecular generation: SMILES & SELFIES tokenizers, CharRNN / MolGPT / VAE models, training, sampling, and MOSES-style metrics.

  • Synthetic Accessibility via Fragment Assembly Generation

  • paccmann_chemistrydrug-discovery · vae

    Generative models of chemical data for PaccMann^RL

  • paccmann_generatordrug-discovery · vae

    Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).

  • cleanmoldrug-discovery · smiles

    Reproducible cleaning and standardization of SMILES-based chemical datasets

  • ALKYLdrug-discovery · smiles

    Claude Plugin for CompChem , Drug Discovery & Organic Chemistry reasoning

sources
  1. api.github.com/repos/lianghsun/drug_discovery
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2024-06-06, 6 stars, license reported as Apache-2.0. 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["drug-discovery"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.