CoreML-samples
DL4S
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| CoreML-samples | DL4S | |
|---|---|---|
| - | 5 | |
| 41 | 100 | |
| - | - | |
| 0.0 | 0.0 | |
| over 6 years ago | 6 months ago | |
| Jupyter Notebook | Swift | |
| MIT License | MIT License |
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CoreML-samples
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DL4S
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Machine learning modules for swift
Lastly, there are some third party libraries that you could try. I wrote a machine learning / deep learning library for Swift a while ago: DL4S. It does not have GPU acceleration (yet), so it won't allow you to do large ML workloads, but it has no problem with datasets like MNIST and it has an API similar to PyTorch/Tensorflow 2.
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Should I use accelerate or another library for simple, np.sum-like, matrix operations?
Shameless plug: If you're looking for a more user friendly method for accelerated operations on vectors, matrices and tensors: I built Deep Learning for Swift a while ago, which implements a lot of numpy functions. It's primarily made for deep learning but you can also do number crunching with it.
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Anyone taking part or has taken part in the Swift Student Challenge?
Last year I won by building a chat bot with seq2seq and attention using my own deep learning library. The whole thing wasn't all that impressive from a visual standpoint but I guess the technical achievement was good enough for them. Also, I wrote a lot of stuff into the beyond WWDC field.
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Recommendations for Books on Deep Learning.
If you want to go the latter route, Apple provides a bunch of low level frameworks for this: Accelerate, BNNS, ML Compute and MetalPerformanceShaderGraph. CoreML also supports some limited fine tuning capabilities. There are also 3rd party solutions, like DL4S (which I created).
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Any good open source projects that uses Swift?
I actually have one project in this list myself (DL4S), but the project is probably not very beginner friendly to work on.
What are some alternatives?
CoreML-Models - Largest list of models for Core ML (for iOS 11+)
Swift-AI - The Swift machine learning library.
Tensorflow-iOS
Caffe2
MLKit - A simple machine learning framework written in Swift 🤖
Awesome-Mobile-Machine-Learning - A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.
Bender - Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
AIToolbox - A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
Serrano - A Swift deep learning library with Accelerate and Metal support.