- Waterloo
-
07:35
(UTC -05:00) - https://orcid.org/0000-0002-2754-5751
- in/christopherrisi
- https://gluroo.com/team/
Stars
Predicting the probability of nocturnal hypoglycemic events with probabilistic forecasting.
A curated list of state-of-the-art papers on deep learning for universal representations of time series.
A comprehensive database of foods in the United States.
A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose
Creating RL Agents for simglucose/PadovaT1D simulator.
Causal modelling with FitBit and Gluroo data for blood-glucose time-series evolution
Improving short-term prandial blood glucose outcomes for people with T1D, a complex disease that affects ~10 million people worldwide. We use a variety of AI/ML techniques to assist T1D with diabet…
RobotPsychologist / sktime
Forked from sktime/sktimeA unified framework for machine learning with time series
An open source benchmark for semi-supervised change point detection of type 1 diabetic meals from continuous glucose monitor time series data. Originally created to present to PyData Global 2024 in…
Foundation Models for Time Series
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Improving short-term prandial blood glucose outcomes for people with type 1 diabetes, a complex disease that affects nearly 10 million people worldwide. We aim to leverage semi-supervised learning …
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
Exercises for the Deep Learning textbook at www.deeplearningbook.org
This is a desktop application that fetches your blood sugar from LibreLinkUp
Graph Neural Network Library for PyTorch
Platform for designing and evaluating Graph Neural Networks (GNN)
here you can find the material used for our Tutorials
A library to use modular layers in any neural network
Anonymous Github is a proxy server to support anonymous browsing of Github repositories for open-science code and data.
a free python grammar checker 📝✅