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Repository

Basic Info
  • Host: GitHub
  • Owner: hermanvest
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 491 MB
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Created over 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme License Citation

README.md

Deep Equilibrium Nets for The Analytic Climate Economy

This GitHub repository contains the codes for my master's thesis, called "Beyond the Curse of Dimensionality? Deep Equilibrium Nets for the Analytic Climate Economy". Please refer to Azinovic et al. (2022) for Deep Equilibrium Nets and their GitHub Repository and to Traeger (2023) for the paper on the Analytic Climate Economy.

Usage

The main results for the thesis, including the analytical calculations, are in the following notebook: Python Notebook

Model training is done by running

shell python run_ace_dice.py --model_version version

where version is replaced by either 2016 or 2023. This loads the most recently trained weights, located in Logs Directory. If you want to train a network from scratch, you need to delete the checkpoint files before starting training.

For storing the results with the training weights, run

shell python generate_results.py --model_version version

where version is replaced by 2016 or 2023.

Training logs can be analyzed with TensorBoard . To run tensorboard and analyze logged training results, use

shell tensorboard --logdir=logs/version/training_stats

where version is replaced by 2016 or 2023.

Dependencies

  • debugpy
  • Jinja2
  • Keras
  • matplotlib
  • matplotlib-inline
  • numpy
  • pandas
  • pytest
  • PyYAML
  • scipy
  • tensorboard
  • tensorflow
  • tensorflow-estimator
  • tensorflow-probability

License

This project is licensed under the MIT License - see the LICENSE file for details.

References

Azinovic, M., Gaegauf, L., & Scheidegger, S. (2022). Deep Equilibrium Nets. International Economic Review, 63(4), 14711525.

Traeger, C. P. (2023). ACEAnalytic Climate Economy. American Economic Journal. Economic Policy, 15(3), 372406.

Owner

  • Name: Herman
  • Login: hermanvest
  • Kind: user
  • Location: Oslo
  • Company: University of Oslo

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