shainet VS dnn_from_scratch

Compare shainet vs dnn_from_scratch and see what are their differences.

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shainet dnn_from_scratch
0 1
180 28
1.7% -
0.0 0.0
11 months ago over 2 years ago
Crystal Python
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.

shainet

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

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

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.

What are some alternatives?

When comparing shainet and dnn_from_scratch you can also consider the following projects:

crystal-fann - FANN (Fast Artifical Neural Network) binding in Crystal

ai4cr - Artificial Intelligence for Crystal (based on https://github.com/SergioFierens/ai4r)

grey_matter - Grey Matter is a basic artificial neural network library for Crystal.

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

HyperGAN - Composable GAN framework with api and user interface

guesslang - Detect the programming language of a source code

ALAE - [CVPR2020] Adversarial Latent Autoencoders

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

Cadmium - Natural Language Processing (NLP) library for Crystal

mxnet.cr - MXNet (AI/ML) bindings for the Crystal language.

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