10

8

6

4

2


9.7

9.9

9.6

6.1

8.0

8.3

7.6

7.5

6.4

4.2

5.1
0.8

9 Machine Learning libraries and projects

  • Caffe2

    9.7 9.9 Jupyter Notebook
    Lightweight, modular, and scalable deep learning framework.
  • Swift-AI

    9.6 6.1 L2 Swift
    Highly optimized Artificial Intelligence and Machine Learning library written in Swift.
  • CoreML-Models

    8.0 8.3 Python
    A collection of unique Core ML Models.
  • Bender

    7.6 7.5 Swift
    Easily craft fast Neural Networks. Use TensorFlow models. Metal under the hood.
  • AIToolbox

    6.4 4.2 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

    5.1 0.8 L4 Swift
    Artificial Intelligence/Machine Learning data structures and Swift algorithms for future iOS development. Bayes theorem, Neural Networks, and more AI.
  • CoreML-samples

    1.1 4.0 Jupyter Notebook
    Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
  • Revolver

    0.7 5.9 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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