12 Machine Learning libraries and projects
9.8 0.0 Jupyter NotebookLightweight, modular, and scalable deep learning framework.
9.6 0.0 L2 SwiftHighly optimized Artificial Intelligence and Machine Learning library written in Swift.
9.4 1.3 PythonA collection of unique Core ML Models.
8.0 0.0 SwiftEasily craft fast Neural Networks. Use TensorFlow models. Metal under the hood.
7.7 6.2A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.
6.7 0.3 L1 SwiftA toolbox of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians.
5.1 0.0 L4 SwiftArtificial Intelligence/Machine Learning data structures and Swift algorithms for future iOS development. Bayes theorem, Neural Networks, and more AI.
4.7 0.0 SwiftA lightweight library to calculate tensors in Swift, which has similar APIs to TensorFlow's.
1.7 0.0 Jupyter NotebookSample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
1.7 0.0 SwiftA deep learning library for iOS and macOS.
1.1 0.0 SwiftA framework for building fast genetic algorithms in Swift. Comes with modular architecture, pre-implemented operators and loads of examples.
0.2 -The official Google-built powerful neural network library port for iOS.
Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
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