Swift-AI alternatives and similar libraries

Based on the "AI" category.
Alternatively, view Swift-AI alternatives based on common mentions on social networks and blogs.

CoreML-Models

9.6 2.3 Swift-AI VS CoreML-Models

Largest list of models for Core ML (for iOS 11+)
Porcupine

9.2 9.1 Swift-AI VS Porcupine

On-device wake word detection powered by deep learning

WorkOS - The modern identity platform for B2B SaaS

The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

Promo workos.com

OpenAI

8.2 8.9 Swift-AI VS OpenAI

Swift community driven package for OpenAI public API
BrainCore

5.3 0.0 L4 Swift-AI VS BrainCore

The iOS and OS X neural network framework
MLKit

3.4 0.0 Swift-AI VS MLKit

A simple machine learning framework written in Swift 🤖
DL4S

2.6 0.0 Swift-AI VS 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
iOS App Design

0.1 3.6 Swift-AI VS iOS App Design

Read this blog for iOS app design guidelines, principles, process and best designed iOS app to get inspired. iOS mobile app design guideline.
Nimble AppGenie

0.1 3.6 Swift-AI VS Nimble AppGenie

Nimble AppGenie is a leading iOS app development company offers custom iOS & iPhone app development services for start ups and businesses.

* 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 AI is a high-performance deep learning library written entirely in Swift. We currently offer support for all Apple platforms, with Linux support coming soon.

Tools

Swift AI includes a collection of common tools used for artificial intelligence and scientific applications:

[x] NeuralNet
- A flexible, fully-connected neural network with support for deep learning
- Optimized specifically for Apple hardware, using advanced parallel processing techniques
[ ] Convolutional Neural Network
[ ] Recurrent Neural Network
[ ] Genetic Algorithm Library
[ ] Fast Linear Algebra Library
[ ] Signal Processing Library

Example Projects

We've created some example projects to demonstrate the usage of Swift AI. Each resides in their own repository and can be built with little or no configuration:

NeuralNet-MNIST
- A NeuralNet training example for the MNIST handwriting database
- Trains a neural network to recognize handwritten digits
- Built for macOS
NeuralNet-Handwriting-iOS
- A demo for handwriting recognition using NeuralNet
- Pre-trained; just download and run
- Built for iOS

Usage

Each module now contains its own documentation. We recommend that you read the docs carefully for detailed instructions on using the various components of Swift AI.

The example projects are another great resource for seeing real-world usage of these tools.

Compatibility

Swift AI currently depends on Apple's Accelerate framework for vector/matrix calculations and digital signal processing.

In order to provide support for more platforms, alternative BLAS solutions are being considered.

Contributing

Contributions to the project are welcome. We simply ask that you strive to maintain consistency with the structure and formatting of existing code.

Contact

Collin Hundley is the author and maintainer of Swift AI. Feel free contact him directly via email.

If you have a question about this library or are looking for guidance, we recommend opening an issue so a member of the community can help!

Consulting

If you're looking for for help with deep learning, computer vision, signal processing or other AI applications, you've come to the right place! Contact Collin for more information about consulting/contracting.