Pinned Repositories
interpretable-DL4BGP
This project aims to discuss the importance of interpretability tools in machine learning models for the real-time prediction of blood glucose levels
agata
AGATA (Automated Glucose dATa Analysis) is a MATLAB® toolbox to analyse glucose data.
data_science_notes
Keep learning something new
deeplearning-system-identification
System Identification with LSTM networks
GluPredKit
GluPredKit aims to make blood glucose model training and prediction more accessible.
google-research
Google Research
harmonic-oscillator-pinn
Code accompanying my blog post: So, what is a physics-informed neural network?
phy-predict
This code allows to predict glucose ahead in time by using a non-linear physiological model of glucose-insulin dynamics and the particle filter
py_agata
Official Python porting of AGATA (Automated Glucose dATa Analysis) a toolbox to analyse glucose data.
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
checoisback's Repositories
checoisback/agata
AGATA (Automated Glucose dATa Analysis) is a MATLAB® toolbox to analyse glucose data.
checoisback/deeplearning-system-identification
System Identification with LSTM networks
checoisback/interpretable-DL4BGP
This project aims to discuss the importance of interpretability tools in machine learning models for the real-time prediction of blood glucose levels
checoisback/py_agata
Official Python porting of AGATA (Automated Glucose dATa Analysis) a toolbox to analyse glucose data.
checoisback/GluPredKit
GluPredKit aims to make blood glucose model training and prediction more accessible.
checoisback/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
checoisback/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
checoisback/phy-predict
This code allows to predict glucose ahead in time by using a non-linear physiological model of glucose-insulin dynamics and the particle filter
checoisback/google-research
Google Research
checoisback/qr_forcaster
Our implementation of the paper "A Multi-Horizon Quantile Recurrent Forecaster"
checoisback/Retail-Demand-Forecasting
A deep learning model that predicts the demand of an item for a particular time period in 10 retail stores. The model showed an RMSE of 18. Various deep learning models such as CNN, LSTM, MLP, CNN-LSTM were compared and CNN-LSTM showed the least RMSE.
checoisback/RKN
checoisback/spacetimeformer
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
checoisback/harmonic-oscillator-pinn
Code accompanying my blog post: So, what is a physics-informed neural network?
checoisback/data_science_notes
Keep learning something new