G2P2C
importedsoftware/g2p2c
Reinforcement Learning based Artificial Pancreas Systems for Controlling Blood Glucose in Type 1 Diabetes.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- RL4H
- Country
- unknown
- Homepage
- capsml.com/
- Repository
- github.com/RL4H/G2P2C
- Documentation
- unknown
- Tags
- artificial-pancreas · control-systems · diabetes · glucose-control · reinforcement-learning · reinforcement-learning-algorithms
- 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.
- simglucoseartificial-pancreas · diabetes · reinforcement-learning
A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose
- GluCoEnvcontrol-systems · diabetes · reinforcement-learning
GluCoEnv - Glucose Control Environment, is a simulation environment which aims to facilitate the development of Reinforcement Learning based Artificial Pancreas Systems for Glucose Control in Type 1…
- OmniCoreartificial-pancreas · diabetes
Control omnipod from your phone and more.
- EHR-RLdiabetes · reinforcement-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…
- GSoCcontrol-systems
Alaska Project Ideas, mentored by the researchers and collaborators of University of Alaska and supported by open-source entities and enthusiasts in Alaska.
- SynapDrive-AIcontrol-systems
Simulation-first safety middleware for BCI-inspired intent-to-action systems, with confidence gating, prohibited-action blocking, replayable sessions, assurance receipts, offline EEG-style analysis,…
- api.github.com/repos/RL4H/G2P2Cretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-05-12, 36 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/51.json→ .entries["g2p2c"]
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