ML-Optimizers-JAX VS dnn_from_scratch

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

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ML-Optimizers-JAX dnn_from_scratch
1 1
40 29
- -
4.5 0.0
almost 3 years ago almost 3 years ago
Python Python
- -
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.

dnn_from_scratch

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

What are some alternatives?

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

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

deepxde - A library for scientific machine learning and physics-informed learning

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

HyperGAN - Composable GAN framework with api and user interface

dm-haiku - JAX-based neural network library

ALAE - [CVPR2020] Adversarial Latent Autoencoders

trax - Trax — Deep Learning with Clear Code and Speed

guesslang - Detect the programming language of a source code

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

open-lpr - Open Source and Free License Plate Recognition Software

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

Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0