Tensorflow-iOS VS Bender

Compare Tensorflow-iOS vs Bender and see what are their differences.

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Tensorflow-iOS Bender
0 0
- 1,783
- 0.2%
- 3.4
- 5 months ago
Swift
- 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.

Tensorflow-iOS

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

We haven't tracked posts mentioning Tensorflow-iOS 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 Tensorflow-iOS and Bender you can also consider the following projects:

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

Swift-AI - The Swift machine learning library.

CoreML-samples - Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

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

Revolver - A framework for building fast genetic algorithms in Swift.

Swift-Brain - Artificial intelligence/machine learning data structures and Swift algorithms for future iOS development. bayes theorem, neural networks, and more AI.

Caffe2

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

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