chemprop
importedtherapeutics/chemprop-chemprop
Message Passing Neural Networks for Molecule Property Prediction
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
- chemprop
- Country
- unknown
- Homepage
- chemprop.csail.mit.edu
- Repository
- github.com/chemprop/chemprop
- Documentation
- unknown
- Tags
- chemistry · drug-discovery · machine-learning · neural-networks
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- summitchemistry · drug-discovery · neural-networks
Optimising chemical reactions using machine learning
- logD_predictordrug-discovery · neural-networks
Prediction of CHI logD from ¹H/¹³C NMR spectra and molecular fingerprints using ML and deep learning.
- NDDdrug-discovery · neural-networks
Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
- ALKYLchemistry · drug-discovery
Claude Plugin for CompChem , Drug Discovery & Organic Chemistry reasoning
- bbleanchemistry · drug-discovery
BitBIRCH-Lean, a memory-efficient implementation of BitBIRCH designed for high-throughput clustering of huge molecular libraries
- chematicchemistry · drug-discovery
A pure-Rust cheminformatics library targeting RDKit feature parity — zero C/C++ by default.
- api.github.com/repos/chemprop/chempropretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-08-21, 2437 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as MIT, because GitHub's detector does not recognise open hardware licences.
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/v1/entries/16.json→ .entries["chemprop-chemprop"]
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