ML-Optimizers-JAX
yaglm
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| ML-Optimizers-JAX | yaglm | |
|---|---|---|
| 1 | 1 | |
| 40 | 49 | |
| - | - | |
| 4.5 | 0.0 | |
| almost 3 years ago | about 1 year ago | |
| Python | Python | |
| - | MIT License |
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ML-Optimizers-JAX
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Tracking mentions began in Dec 2020.
yaglm
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Tracking mentions began in Dec 2020.
What are some alternatives?
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DemonRangerOptimizer - Quasi Hyperbolic Rectified DEMON Adam/Amsgrad with AdaMod, Gradient Centralization, Lookahead, iterative averaging and decorrelated Weight Decay
dm-haiku - JAX-based neural network library
trax - Trax — Deep Learning with Clear Code and Speed
AdasOptimizer - ADAS is short for Adaptive Step Size, it's an optimizer that unlike other optimizers that just normalize the derivative, it fine-tunes the step size, truly making step size scheduling obsolete, achieving state-of-the-art training performance
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
flaxOptimizers - A collection of optimizers, some arcane others well known, for Flax.
sweetviz - Visualize and compare datasets, target values and associations, with one line of code.
hal9001 - 🤠 📿 The Highly Adaptive Lasso
scikit-learn - scikit-learn: machine learning in Python