What My Project Does

The optimizers is a lightweight library that implements a collection of advanced optimization algorithms specifically for TensorFlow and Keras. These optimizers are designed to drop right into your existing training pipelines—just like the built-in Keras optimizers. The goal is to give you more tools to experiment with for faster convergence, better handling of complex loss landscapes, and improved performance on deep learning models.

Target Audience

* TensorFlow / Keras researchers and engineers looking to experiment with different optimizers.

* Deep learning / reinforcement-learning practitioners who want quick, API-compatible optimizer swaps.

* Students and small teams who prefer lightweight, source-first libraries.

Comparison

* vs. built-in Keras optimizers: offers additional/experimental variants for quick comparisons.

* vs. larger 3rd-party ecosystems (e.g. tensorflow-addons or JAX/Optax): this repo is a lightweight, code-first collection focused on TensorFlow/Keras.

https://github.com/NoteDance/optimizers