Popularity
5.1
Stable
Activity
0.0
Stable
332
37
51
Code Quality Rank:
L4
Programming language: Swift
License: MIT License
Tags:
Machine Learning
Swift-Brain alternatives and similar libraries
Based on the "Machine Learning" category.
Alternatively, view Swift-Brain alternatives based on common mentions on social networks and blogs.
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Bender
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood. -
Awesome-Mobile-Machine-Learning
A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices. -
AIToolbox
A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms -
TensorSwift
A lightweight library to calculate tensors in Swift, which has similar APIs to TensorFlow's -
SwiftCoreMLTools
A Swift library for creating and exporting CoreML Models in Swift -
DL4S
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
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools. -
Serrano
A Swift deep learning library with Accelerate and Metal support. -
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Tensorflow-iOS
The official Google-built powerful neural network library port for iOS.
Appwrite - The open-source backend cloud platform
The open-source backend cloud platform for developing Web, Mobile, and Flutter applications. You can set up your backend faster with real-time APIs for authentication, databases, file storage, cloud functions, and much more!
Promo
appwrite.io
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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README
Swift Brain
The first neural network / machine learning library written in Swift. This is a project for AI algorithms in Swift for iOS and OS X development. This project includes algorithms focused on Bayes theorem, neural networks, SVMs, Matrices, etc.. Feel free to contribute.
Development
Tools:
- [x] Matrix operations Machine Learning algorithms
- [ ] Basic regressions
- [x] Kalman filter
- [x] Neural networks
- [x] Support vector machines
- [ ] Bayesian Classifiers
- [ ] Clustering
- [ ] Self Organizing Statistics
- [ ] Bayes theorem/naive classifier
- [ ] Markov model
Installation and Setup
Podfile coming