chempleter
importedtherapeutics/chempleter
Chempleter is a lightweight generative model to predict syntactically valid extensions of molecular structures.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/davistdaniel/chempleter
- Documentation
- unknown
- Tags
- chemistry · deepchem · drug-discovery · molecular-structures · molecule · pytorch
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- biopandasdrug-discovery · molecular-structures · molecule
Working with molecular structures in pandas DataFrames
- HSP-predictionschemistry · deepchem
XGBoost and GNN training and models for prediction of Hansen solubility parameters
- drug-discovery-agent-skillsdeepchem · drug-discovery
Agent Skills for small-molecule and protein therapeutics: cheminformatics, molecular ML, docking and dynamics, protein design platforms, and target-discovery knowledge graphs.
- chempropchemistry · drug-discovery · molecule
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
- kaggle_leash_belkachemistry · drug-discovery · molecule
11th place solution of NeurIPS 2024 - Predict New Medicines with BELKA competition on Kaggle: https://www.kaggle.com/competitions/leash-BELKA
- stk-vischemistry · molecular-structures
A cross-platform application for visualization of molecular databases.
- api.github.com/repos/davistdaniel/chempleterretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-06-16, 14 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["chempleter"]
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