Food-Recipe-CNN VS neuralnet-browser

Compare Food-Recipe-CNN vs neuralnet-browser and see what are their differences.

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Food-Recipe-CNN neuralnet-browser
1 2
560 11
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0.0 10.0
over 1 year ago over 1 year ago
Jupyter Notebook CSS
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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.

Food-Recipe-CNN

Posts with mentions or reviews of Food-Recipe-CNN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-16.

neuralnet-browser

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

What are some alternatives?

When comparing Food-Recipe-CNN and neuralnet-browser you can also consider the following projects:

Playing-Cards-Classification-TensorFlow-CNN - CNN Model to Classify Playing Cards

NeuralNetwork.NET - A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

simplebendingpractice - BeamBending: a teaching aid for 1-D shear-force and bending-moment diagrams

First-steps-towards-Deep-Learning - This is an open sourced book on deep learning.

Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

deeplearning-notes - Notes for Deep Learning Specialization Courses led by Andrew Ng.

CNN-Filter-DB - A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR 2022 ORAL)

SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

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