CoreML-samples vs Bender

CoreML-samples

Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools. (by ytakzk)

Machine Learning

Source Code

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Bender

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood. (by xmartlabs)

Machine Learning neural-networks Metal Apple Iphone iOS convolutional-neural-networks Deep Learning Swift deep-neural-networks residual-networks

Source Code

xmartlabs.github.io

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CoreML-samples		Bender
	Project
-	Mentions	-
41	Stars	1,783
-	Growth	0.2%
0.0	Activity	3.4
almost 7 years ago	Latest Commit	6 months ago
Jupyter Notebook	Language	Swift
MIT License	License	Unknown

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.

CoreML-samples

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

We haven't tracked posts mentioning CoreML-samples yet.
Tracking mentions began in Dec 2020.

Bender

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

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

What are some alternatives?

When comparing CoreML-samples and Bender you can also consider the following projects:

CoreML-Models - Largest list of models for Core ML (for iOS 11+)

Tensorflow-iOS

Caffe2

DL4S - Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

Awesome-Mobile-Machine-Learning - A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.

Swift-AI - The Swift machine learning library.

AIToolbox - A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms

TensorSwift - A lightweight library to calculate tensors in Swift, which has similar APIs to TensorFlow's

spokestack-ios - Spokestack: give your iOS app a voice interface!