deepmet
importedtherapeutics/deepmet
A deep one-class model for the identification of endogenous metabolites
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/jackgisby/deepmet
- Documentation
- unknown
- Tags
- anomaly-detection · cheminformatics · deep-learning · 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.
- aidsorbcheminformatics · pytorch
Python package for deep learning on porous materials and beyond.
- KEMPNNcheminformatics · pytorch
Knowledge-Embedded Message-Passing Neural Networks in Python
- logD_predictorcheminformatics · pytorch
Prediction of CHI logD from ¹H/¹³C NMR spectra and molecular fingerprints using ML and deep learning.
- MolDeTrcheminformatics · pytorch
Chemistry-informed deep learning (1D Deformable-DETR) for automated ¹H NMR multiplet detection: δ, coupling J, proton count and line width in one forward pass.
- molecular-VAEcheminformatics · pytorch
Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules
- molgencheminformatics · pytorch
Lightweight toolkit for de novo molecular generation: SMILES & SELFIES tokenizers, CharRNN / MolGPT / VAE models, training, sampling, and MOSES-style metrics.
- api.github.com/repos/jackgisby/deepmetretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2024-10-31, 3 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/55.json→ .entries["deepmet"]
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