10

8

6

4

2


9.8

9.7

9.6
0.0

9.1

6.3

7.9

6.4

6.6
0.0

5.1
0.0

11 Machine Learning libraries and projects

  • Caffe2

    9.8 9.7 Jupyter Notebook
    Lightweight, modular, and scalable deep learning framework.
  • Swift-AI

    9.6 0.0 L2 Swift
    Highly optimized Artificial Intelligence and Machine Learning library written in Swift.
  • CoreML-Models

    9.1 6.3 Python
    A collection of unique Core ML Models.
  • Bender

    7.9 6.4 Swift
    Easily craft fast Neural Networks. Use TensorFlow models. Metal under the hood.
  • AIToolbox

    6.6 0.0 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

    5.1 0.0 L4 Swift
    Artificial Intelligence/Machine Learning data structures and Swift algorithms for future iOS development. Bayes theorem, Neural Networks, and more AI.
  • TensorSwift

    4.5 2.8 Swift
    A lightweight library to calculate tensors in Swift, which has similar APIs to TensorFlow's.
  • Serrano

    1.5 6.6 Swift
    A deep learning library for iOS and macOS.
  • CoreML-samples

    1.4 0.0 Jupyter Notebook
    Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
  • Revolver

    0.9 1.6 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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