moleculegen-ml
importedtherapeutics/moleculegen-ml
Generate novel molecules using neural language models
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/sanjaradylov/moleculegen-ml
- Documentation
- unknown
- Tags
- cheminformatics · convolutional-neural-networks · drug-discovery · fine-tuning · language-model · machine-learning · mxnet · recurrent-neural-networks · transformers
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- reinvent-randomizeddrug-discovery · recurrent-neural-networks
Recurrent Neural Network using randomized SMILES strings to generate molecules
- smiles-gptcheminformatics · drug-discovery · transformers
Generative Pre-Training from Molecules
- ai4science-studiodrug-discovery · fine-tuning
How-to guides and AMD/ROCm optimization recipes for open AI-for-science models.
- MediBeng-Whisper-Tinyfine-tuning · transformers
MediBeng Whisper Tiny improves doctor-patient transcription by training the Whisper Tiny model to translate mixed Bengali-English speech into English, making it easier for analysis, record-keeping,…
- EEGLearnconvolutional-neural-networks · recurrent-neural-networks
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
- gninacheminformatics · convolutional-neural-networks · drug-discovery
A deep learning framework for molecular docking
- api.github.com/repos/sanjaradylov/moleculegen-mlretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2022-05-23, 5 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/25.json→ .entries["moleculegen-ml"]
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