Installation
Conda Environment
Create the conda environment:
conda create -c conda-forge -n diffusion_torch \
seaborn scipy numpy pandas matplotlib ipykernel \
xarray netcdf4 h5netcdf tqdm einops tenacity \
aiohttp ipywidgets jupyterlab
conda activate diffusion_torch
conda install torchvision -c pytorch
conda install -c bioconda epiweeks
python -m ipykernel install --user --name diffusion_torch --display-name "Python (diffusion_torch)"
Clone Required Repositories
git clone https://github.com/andreas128/RePaint.git referenceimplementations/RePaint
git clone https://github.com/openai/guided-diffusion.git referenceimplementations/guided-diffusion
git clone https://github.com/cmu-delphi/delphi-epidata.git Flusight/flu-datasets/delphi-epidata
git clone https://github.com/cdcepi/Flusight-forecast-data.git Flusight/2022-2023/FluSight-forecast-hub-official
git clone https://github.com/cdcepi/FluSight-forecast-hub Flusight/2023-2024/FluSight-forecast-hub-official
git clone https://github.com/cdcepi/FluSight-forecast-hub Flusight/2024-2025/FluSight-forecast-hub-official
git clone https://github.com/midas-network/flu-scenario-modeling-hub.git Flusight/Flu-SMH
git clone https://github.com/ACCIDDA/NC_Forecasting_Collab.git custom_datasets/NC_Forecasting_Collab
git clone https://github.com/adrian-lison/interval-scoring.git interval_scoring