Koratahiu/Advanced_Optimizers
A family of highly efficient, lightweight yet powerful optimizers.
This project offers a collection of advanced optimization algorithms specifically designed for deep learning models. It takes in model architecture and training parameters, and outputs a trained model with superior performance, often with reduced memory usage and faster training times. It's ideal for machine learning engineers and researchers who are training large neural networks and want to improve efficiency.
Use this if you are training deep learning models and need to optimize for speed, memory efficiency, or convergence performance.
Not ideal if you are working with traditional machine learning models or simpler neural networks where standard optimizers are sufficient.
Stars
21
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 23, 2026
Commits (30d)
0
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