AI-Bind
importedtherapeutics/ai-bind-chatterjeeayan
Interpretable AI pipeline improving binding predictions for novel protein targets and ligands
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
- Homepage
- unknown
- Repository
- github.com/ChatterjeeAyan/AI-Bind
- Documentation
- unknown
- Tags
- ai · artifical-intelligence · deep-learning · drug-discovery · machine-learning · networkscience · networkx · unsupervised-learning
- 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.
- AI-Binddrug-discovery · networkscience · unsupervised-learning
Interpretable AI pipeline improving binding predictions for novel protein targets and ligands
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- TUCANnetworkx
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- Predictive-Modeling-for-Diabetes-Analysisunsupervised-learning
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- Unsupervised_Anomaly_Detection_Brain_MRIunsupervised-learning
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
- Unsuprevised_Seg_via_CNNunsupervised-learning
An unsupervised (or self-supervised) loss function for binary image segmentation (TensorFlow)
- api.github.com/repos/ChatterjeeAyan/AI-Bindretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-05-06, 32 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/46.json→ .entries["ai-bind-chatterjeeayan"]
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