https://github.com/quantecon/lecture-jax

Lectures on Quantitative Economics Using JAX
https://github.com/quantecon/lecture-jax

computational economics gpu jax python

Last synced: about 2 months ago
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Lectures on Quantitative Economics Using JAX

• Host: GitHub
• URL: https://github.com/quantecon/lecture-jax
• Owner: QuantEcon
• Created: 2023-03-21T02:15:43.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2026-04-05T06:14:54.000Z (about 2 months ago)
• Last Synced: 2026-04-05T07:51:28.891Z (about 2 months ago)
• Topics: computational, economics, gpu, jax, python
• Language: TeX
• Homepage: https://jax.quantecon.org/
• Size: 96.6 MB
• Stars: 48
• Watchers: 4
• Forks: 6
• Open Issues: 34
• Metadata Files:
  • Readme: README.md

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README

          
# Quantitative Economics with JAX

This website presents a set of lectures on quantitative economic modeling

using GPUs and [Google JAX](https://jax.readthedocs.io).

## Jupyter notebooks

Jupyter notebook versions of each lecture are available for download

via the website.

## Contributions

To comment on the lectures please add to or open an issue in the issue tracker (see above).

We welcome pull requests!  

Please read the [QuantEcon style guide](https://manual.quantecon.org/intro.html) first, so that you can match our style.