Rxitect
importedtherapeutics/rxitect
A collection of deep reinforcement learning-based & GFlowNet drug molecule generators focused on generation of molecules using Graphs/SELFIES guided by modern retrosynthesis tools to increase…
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/jcathalina/Rxitect
- Documentation
- unknown
- Tags
- deep-learning · drug-discovery · generative-model · gflownet · molecular-graphs · multi-objective-optimization · reinforcement-learning · rnn · selfies · smiles · synthesizability · transformer
- 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 · generative-model · selfies · smiles · transformer
Lightweight toolkit for de novo molecular generation: SMILES & SELFIES tokenizers, CharRNN / MolGPT / VAE models, training, sampling, and MOSES-style metrics.
- Molecule-RNNdrug-discovery · generative-model · rnn · smiles
A recurrent neural network (RNN) that generates drug-like molecules for drug discovery.
- gflownetdrug-discovery · generative-model · gflownet
A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
- DrugExmulti-objective-optimization · reinforcement-learning
Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology
- molecular-string-rendererselfies · smiles
A python utility for rendering 2D molecular graph images given a string representation (SMILES, SELFIES)
- SMILESAugmentationselfies
SMILES, SELFIES and Reaction SMILES augmentation using RDKit
- api.github.com/repos/jcathalina/Rxitectretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2022-12-11, 10 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/42.json→ .entries["rxitect"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.