Alternatives and similar repositories for T1D_VPP:

Users that are interested in T1D_VPP are comparing it to the libraries listed below

• jxx123 / simglucose
  A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose
  ☆259Updated 3 months ago
• gcappon / agata
  AGATA (Automated Glucose dATa Analysis) is a MATLAB® toolbox to analyse glucose data.
  ☆11Updated last year
• gcappon / replay-bg
  ReplayBG is a digital twin-based methodology to assess new strategies for type 1 diabetes management.
  ☆12Updated last year
• hpeuscher / loopinsight1
  A modular framework for in-browser closed-loop diabetes simulation
  ☆25Updated this week
• MLD3 / RL4BG
  Public code release for "Deep Reinforcement Learning for Closed-Loop Blood Glucose Control" (Ian Fox et al.), MLHC 2020. https://arxiv.or…
  ☆12Updated 4 years ago
• replicahealth / GluPredKit
  GluPredKit aims to make blood glucose model training and prediction more accessible.
  ☆17Updated this week
• gcappon / awesome-diabetes-software
  ☆14Updated 11 months ago
• RL4H / GluCoEnv
  GluCoEnv - Glucose Control Environment, is a simulation environment which aims to facilitate the development of Reinforcement Learning ba…
  ☆15Updated 5 months ago
• abhisheknaik96 / average-reward-methods
  Accompanying code for "Learning and Planning in Average-Reward Markov Decision Processes"
  ☆14Updated 4 years ago
• RL4H / G2P2C
  Reinforcement Learning based Artificial Pancreas Systems for Controlling Blood Glucose in Type 1 Diabetes.
  ☆21Updated 2 months ago
• IrinaStatsLab / Awesome-CGM
  List of CGM datasets
  ☆177Updated last month
• alec-tschantz / predcoding
  A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)
  ☆15Updated 4 years ago
• johnmartinsson / blood-glucose-prediction
  Blood glucose prediction using long short-term memory recurrent neural networks.
  ☆59Updated last month
• qu-gg / torch-neural-ssm
  Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
  ☆42Updated 2 months ago
• brinnaebent / cgmquantify
  cgmquantify-python package for analyzing glucose and glucose variability
  ☆27Updated 3 months ago
• romanpogodin / towards-bio-plausible-conv
  ☆14Updated 3 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆90Updated 3 years ago
• nathanwispinski / meta-rl
  A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.
  ☆15Updated last year
• thebuckleylab / jpc
  Flexible Inference for Predictive Coding Networks in JAX.
  ☆31Updated last month
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆58Updated 8 months ago
• igfox / multi-output-glucose-forecasting
  The code used for the paper Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories published in KDD 201…
  ☆50Updated 3 years ago
• yixiangD / AccurateBG
  Patient-specific blood glucose prediction using deep learning, considering the challenges of "small dataset" and "data imbalance"
  ☆43Updated 3 months ago
• dimarkov / bmr4pml
  Bayesian model reduction for probabilistic machine learning
  ☆10Updated 2 months ago
• BouchardLab / DynamicalComponentsAnalysis
  Dynamical Components Analysis
  ☆31Updated last year
• facebookresearch / gwil
  Cross-Domain Imitation Learning via Optimal Transport
  ☆24Updated 2 years ago
• Meta-optimization / L2L
  Learning to Learn: Gradient-free Optimization framework
  ☆15Updated last week
• trieschlab / MIMo
  ☆33Updated 10 months ago
• grasool / Gaussian-Processes
  Introduction to Gaussian Processes
  ☆27Updated 6 years ago
• FieteLab / NeurIPS-2022-No-Free-Lunch
  Code for NeurIPS 2022 No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit
  ☆13Updated 2 years ago