DrugEx
importedtherapeutics/drugex-xuhanliu
Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology
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/XuhanLiu/DrugEx
- Documentation
- unknown
- Tags
- cheminformatics · deep-learning · graph-transformer · multi-objective-optimization · reinforcement-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.
- DrugExcheminformatics · reinforcement-learning
De Novo Drug Design with RNNs and Transformers
- ReLeaSEcheminformatics · reinforcement-learning
Deep Reinforcement Learning for de-novo Drug Design
- DrugGenreinforcement-learning
DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback
- armscan_envreinforcement-learning
A Gymnasium environment and RL algorithms for navigation on human arms using ultrasound/MRI
- EHR-RLreinforcement-learning
The potential for the use of AI is dramatic especially as it can assist family clinicians who are usually overloaded with patients to make better choices for treatment of their type 2 patients in…
- G2P2Creinforcement-learning
Reinforcement Learning based Artificial Pancreas Systems for Controlling Blood Glucose in Type 1 Diabetes.
- api.github.com/repos/XuhanLiu/DrugExretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-07-06, 221 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/9.json→ .entries["drugex-xuhanliu"]
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