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| Caffe2 | Swift-AI | |
|---|---|---|
| - | 1 | |
| 8,443 | 6,012 | |
| - | 0.3% | |
| 0.0 | 0.0 | |
| over 5 years ago | almost 7 years ago | |
| Jupyter Notebook | Swift | |
| - | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Caffe2
We haven't tracked posts mentioning Caffe2 yet.
Tracking mentions began in Dec 2020.
Swift-AI
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Are people using Swift for machine learning / differentiable programming outside of Apple?
Before CoreML was released (and also before BNNS), I wrote SwiftAI. The project made heavy use of Accelerate and the algorithms were written from scratch. It was a great project, and I planned to make a lot of additions, but CoreML came out pretty soon afterward and made the project mostly obsolete. Still a great learning experience and there was a fair bit of interest at the time.
What are some alternatives?
Caffe - Caffe: a fast open framework for deep learning.
CoreML-Models - Largest list of models for Core ML (for iOS 11+)
mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
AIToolbox - A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
BrainCore - The iOS and OS X neural network framework
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
Tensorflow-iOS
Porcupine - On-device wake word detection powered by deep learning
PDFGenerator - A simple generator of PDF written in Swift.
SpriteKit+Spring - SpriteKit API reproducing UIView's spring animations with SKAction