ML-Optimizers-JAX VS AdasOptimizer

Compare ML-Optimizers-JAX vs AdasOptimizer and see what are their differences.

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 (by YanaiEliyahu)
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ML-Optimizers-JAX AdasOptimizer
1 2
40 85
- -
4.5 5.8
almost 3 years ago about 3 years ago
Python C++
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ML-Optimizers-JAX

Posts with mentions or reviews of ML-Optimizers-JAX. We have used some of these posts to build our list of alternatives and similar projects.

AdasOptimizer

Posts with mentions or reviews of AdasOptimizer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-15.

What are some alternatives?

When comparing ML-Optimizers-JAX and AdasOptimizer you can also consider the following projects:

RAdam - On the Variance of the Adaptive Learning Rate and Beyond

DemonRangerOptimizer - Quasi Hyperbolic Rectified DEMON Adam/Amsgrad with AdaMod, Gradient Centralization, Lookahead, iterative averaging and decorrelated Weight Decay

imagenette - A smaller subset of 10 easily classified classes from Imagenet, and a little more French

dm-haiku - JAX-based neural network library

pytorch-optimizer - torch-optimizer -- collection of optimizers for Pytorch

trax - Trax — Deep Learning with Clear Code and Speed

tensorflow - An Open Source Machine Learning Framework for Everyone

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

flaxOptimizers - A collection of optimizers, some arcane others well known, for Flax.

Caffe - Caffe: a fast open framework for deep learning.