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## Dependencies | ||
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1. Create conda environment: `conda env create -f environment.lock.yml` | ||
1. Clone and install https://github.com/henryaddison/mlde_utils into the environment: e.g. `pip install -e ../mlde_utils` | ||
1. Install ml_downscaling_emulator locally: `pip install -e .` | ||
1. Install unet code: `git clone --depth 1 [email protected]:henryaddison/Pytorch-UNet src/ml_downscaling_emulator/unet` | ||
2. Clone and install https://github.com/henryaddison/mlde_utils into the environment: e.g. `pip install -e ../mlde_utils` | ||
3. Install ml_downscaling_emulator locally: `pip install -e .` | ||
4. Install unet code: `git clone --depth 1 [email protected]:henryaddison/Pytorch-UNet src/ml_downscaling_emulator/unet` | ||
5. Configure necessary environment variables: `DERVIED_DATA` and ... | ||
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# Score-Based Generative Modeling through Stochastic Differential Equations | ||
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