Set-up

Create conda environment with python version=3.7:

conda create -n my_env python=3.7

After activating the created environment:

conda activate my_env

Install the following packages with pip:

pip install numpy torch torchvision einops opt_einsum

Run experiments for MNODE

run python3 MNODE.py to get results

python3 MNODE.py

repeat this for other models

Use plotting.ipynb and copy/paste relevant experiment outputs to the data dictionary in the jupyter notebook

Name		Name	Last commit message	Last commit date
Latest commit History 100 Commits
corruption		corruption
insulin-carb_ratio		insulin-carb_ratio
synthetic_experiments		synthetic_experiments
BBNODE.py		BBNODE.py
BBNODE_model.py		BBNODE_model.py
LPSC_reduced.py		LPSC_reduced.py
LPSC_reduced_model.py		LPSC_reduced_model.py
LP_full.py		LP_full.py
LP_full_model.py		LP_full_model.py
LP_reduced.py		LP_reduced.py
LP_reduced_model.py		LP_reduced_model.py
LSTM.py		LSTM.py
LSTM_model.py		LSTM_model.py
MNODE.py		MNODE.py
MNODE_full.py		MNODE_full.py
MNODE_model.py		MNODE_model.py
README.md		README.md
S4D.py		S4D.py
S4D_model.py		S4D_model.py
TCN.py		TCN.py
TCN_model.py		TCN_model.py
Transformer.py		Transformer.py
Transformer_model.py		Transformer_model.py
UVA_full.py		UVA_full.py
UVA_full_model.py		UVA_full_model.py
plotting.ipynb		plotting.ipynb
process_pat.py		process_pat.py
utils.py		utils.py