paccmann_generator
importedtherapeutics/paccmann-generator
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).
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
- PaccMann
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/PaccMann/paccmann_generator
- Documentation
- unknown
- Tags
- deep-reinforcement-learning · drug-discovery · generative-model · molecule-generation · 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.
- paccmann_chemistrydrug-discovery · generative-model · molecule-generation · vae
Generative models of chemical data for PaccMann^RL
- molgendrug-discovery · generative-model · vae
Lightweight toolkit for de novo molecular generation: SMILES & SELFIES tokenizers, CharRNN / MolGPT / VAE models, training, sampling, and MOSES-style metrics.
- BBARdrug-discovery · generative-model · molecule-generation
Official Github for "Molecular generative model via retrosynthetically prepared chemical building block assembly" (Advanced Science)
- paccmann_omicsgenerative-model · vae
Generative models for transcriptomics profiles and proteins
- BInDdrug-discovery · molecule-generation
Official implementation of "BInD: Bond and Interaction-Generating Diffusion Model for Multi-Objective Structure-Based Drug Design" (Advanced Science)
- GeoLDMdrug-discovery · molecule-generation
Geometric Latent Diffusion Models for 3D Molecule Generation
- api.github.com/repos/PaccMann/paccmann_generatorretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2024-05-22, 11 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/6.json→ .entries["paccmann-generator"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.