jax-ml/bonsai
Minimal, lightweight JAX implementations of popular models.
This project provides pre-built, lightweight versions of popular machine learning models for tasks like image classification, large language processing, and speech recognition. It takes raw data (like images or text) and outputs classifications, generated text, or transcribed speech. Researchers and developers who work with machine learning models and want to experiment with or implement them using JAX would use this.
207 stars.
Use this if you are a researcher or developer looking for simple, understandable JAX implementations of common machine learning models for academic or experimental purposes.
Not ideal if you need a highly scalable, enterprise-grade solution for large-scale or industry use, especially on Google Cloud.
Stars
207
Forks
43
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 04, 2026
Commits (30d)
0
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