drug_discovery
importeddata/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.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/lianghsun/drug_discovery
- Documentation
- unknown
- Tags
- aidd · drug-discovery · python · smiles · tensorflow · vae
- Regulatory
- unknown
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.
- SynFragaidd
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
- api.github.com/repos/lianghsun/drug_discoveryretrieved 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 →
/v1/entries/0.json→ .entries["drug-discovery"]
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