15 Machine Learning libraries and projects

  • Caffe2

    9.8 0.0 Jupyter Notebook
    DISCONTINUED. Lightweight, modular, and scalable deep learning framework.
  • Swift-AI

    9.6 0.0 L2 Swift
    The Swift machine learning library.
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  • CoreML-Models

    9.5 2.3 Python
    Largest list of models for Core ML (for iOS 11+)
  • Bender

    8.0 3.4 Swift
    Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
  • Awesome-Mobile-Machine-Learning

    7.9 4.2
    DISCONTINUED. A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.
  • AIToolbox

    6.7 0.0 L1 Swift
    A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
  • Swift-Brain

    5.0 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 0.0 Swift
    A lightweight library to calculate tensors in Swift, which has similar APIs to TensorFlow's
  • SwiftCoreMLTools

    3.0 0.0 Swift
    A Swift library for creating and exporting CoreML Models in Swift
  • DL4S

    2.5 0.0 Swift
    Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
  • CoreML-samples

    1.9 0.0 Jupyter Notebook
    Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
  • Serrano

    1.7 0.0 Swift
    DISCONTINUED. A Swift deep learning library with Accelerate and Metal support.
  • Revolver

    1.3 0.0 Swift
    A framework for building fast genetic algorithms in Swift.
  • Spokestack

    1.3 2.2 Swift
    DISCONTINUED. Spokestack: give your iOS app a voice interface!
  • Tensorflow-iOS

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

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