litmatter
importedtherapeutics/litmatter
Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.
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
- Repository
- github.com/ncfrey/litmatter
- Documentation
- unknown
- Tags
- computational-chemistry · deep-learning · drug-discovery · geometric-deep-learning · machine-learning · materials-science · molecular-dynamics · neural-architecture-search
- 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.
- Deep-Matter-Chem-Skillscomputational-chemistry · materials-science · molecular-dynamics
Reference-audited AI coding-agent skill library for computational chemistry, materials modeling, atomistic simulation, scientific ML, and related workflows.
- allegrocomputational-chemistry · drug-discovery · materials-science
Allegro is a code for building highly scalable E(3)-equivariant interatomic potentials
- nequipcomputational-chemistry · drug-discovery · materials-science
NequIP is a code for building E(3)-equivariant interatomic potentials
- DeNScomputational-chemistry · drug-discovery · geometric-deep-learning
[TMLR 2024 J2C Certification] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
- ShapePharm3Dcomputational-chemistry · drug-discovery · geometric-deep-learning
3D pharmacophore-conditioned molecular diffusion with an E(3)-equivariant EGNN backbone. Generates shape-complementary, drug-like molecules conditioned on pharmacophore point clouds and PMI/SSD…
- sgasgeometric-deep-learning · neural-architecture-search
SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas
- api.github.com/repos/ncfrey/litmatterretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-10-23, 78 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/47.json→ .entries["litmatter"]
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