pytorch-optimizer VS AdasOptimizer

Compare pytorch-optimizer 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)
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
pytorch-optimizer AdasOptimizer
3 2
2,946 85
- -
3.1 5.8
about 1 month ago over 3 years ago
Python C++
Apache License 2.0 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.

pytorch-optimizer

Posts with mentions or reviews of pytorch-optimizer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-28.

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 pytorch-optimizer and AdasOptimizer you can also consider the following projects:

sam - SAM: Sharpness-Aware Minimization (PyTorch)

ML-Optimizers-JAX - Toy implementations of some popular ML optimizers using Python/JAX

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

VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

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

tensorflow - An Open Source Machine Learning Framework for Everyone

simple-sam - Sharpness-Aware Minimization for Efficiently Improving Generalization

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

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

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