deepchem
importedtherapeutics/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
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
- deepchem
- Country
- unknown
- Homepage
- deepchem.io/
- Repository
- github.com/deepchem/deepchem
- Documentation
- unknown
- Tags
- biology · deep-learning · drug-discovery · hacktoberfest · materials-science · quantum-chemistry
- 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.
- ai4science-studiodrug-discovery · materials-science
How-to guides and AMD/ROCm optimization recipes for open AI-for-science models.
- aimsdrug-discovery · materials-science
AIMS: Artificial Intelligence for Molecular Sciences
- allegrodrug-discovery · materials-science
Allegro is a code for building highly scalable E(3)-equivariant interatomic potentials
- litmatterdrug-discovery · materials-science
Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.
- MolDQN-pytorchdrug-discovery · materials-science
A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
- molecular-vaedrug-discovery · materials-science
Pytorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"
- api.github.com/repos/deepchem/deepchemretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-08-03, 6917 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/26.json→ .entries["deepchem"]
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