10

8

6

4

2


9.8

9.9

9.6

5.3

8.4

8.1

7.7

7.3

6.5

3.0

5.2
0.6

10 Machine Learning libraries and projects

  • Caffe2

    9.8 9.9 Jupyter Notebook
    Lightweight, modular, and scalable deep learning framework.
  • Swift-AI

    9.6 5.3 L2 Swift
    Highly optimized Artificial Intelligence and Machine Learning library written in Swift.
  • CoreML-Models

    8.4 8.1 Python
    A collection of unique Core ML Models.
  • Bender

    7.7 7.3 Swift
    Easily craft fast Neural Networks. Use TensorFlow models. Metal under the hood.
  • AIToolbox

    6.5 3.0 L1 Swift
    A toolbox of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians.
  • Swift-Brain

    5.2 0.6 L4 Swift
    Artificial Intelligence/Machine Learning data structures and Swift algorithms for future iOS development. Bayes theorem, Neural Networks, and more AI.
  • Serrano

    1.4 7.7 Swift
    A deep learning library for iOS and macOS.
  • CoreML-samples

    1.3 3.5 Jupyter Notebook
    Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
  • Revolver

    0.9 5.3 Swift
    A framework for building fast genetic algorithms in Swift. Comes with modular architecture, pre-implemented operators and loads of examples.
  • Tensorflow-iOS

    0.2 -
    The official Google-built powerful neural network library port for iOS.

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