dnn_from_scratch VS ML-Optimizers-JAX

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

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dnn_from_scratch ML-Optimizers-JAX
1 1
29 40
- -
0.0 4.5
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.

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.

We haven't tracked posts mentioning dnn_from_scratch yet.
Tracking mentions began in Dec 2020.

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.

We haven't tracked posts mentioning ML-Optimizers-JAX yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

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

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

HyperGAN - Composable GAN framework with api and user interface

ALAE - [CVPR2020] Adversarial Latent Autoencoders

guesslang - Detect the programming language of a source code

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

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

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

t81_558_deep_learning - T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

the-gan-zoo - A list of all named GANs!