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jax-cgd
A simple and memory-efficient implementation of competitive gradient descent (CGD) and its adaptive version (ACGD) using JAX. The cgd algorithm was originally proposed in this paper, with its adaptive version introduced in this paper. This repository implements both algorithms in an efficient and flexible manner using JAX, a powerful library for high-performance machine learning.
You can install this package with pip:
pip install jax-cgd
FAQs
A package for competitive gradient descent and its adaptive version using JAX
We found that jax-cgd demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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