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 (by palle-k)
Review Machine Learning Deep Learning deep-neural-networks gradient-descent automatic-differentiation Autograd Tensor recurrent-neural-networks convolutional-neural-networks neural-networks Swift swift-machine-learning recurrent-networks Derivatives Optimizers
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palle-k.github.io
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DL4S
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DL4S reviews and mentions

Posts with mentions or reviews of DL4S. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-05.
  • Machine learning modules for swift
    1 project | /r/swift | 25 Oct 2022
    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.
  • Should I use accelerate or another library for simple, np.sum-like, matrix operations?
    1 project | /r/swift | 4 May 2022
    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.
  • Anyone taking part or has taken part in the Swift Student Challenge?
    2 projects | /r/swift | 5 Apr 2021
    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.
  • Recommendations for Books on Deep Learning.
    1 project | /r/swift | 14 Feb 2021
    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).
  • Any good open source projects that uses Swift?
    3 projects | /r/swift | 7 Jan 2021
    I actually have one project in this list myself (DL4S), but the project is probably not very beginner friendly to work on.
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Stats

Basic DL4S repo stats
5
102
0.0
11 months ago

palle-k/DL4S is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of DL4S is Swift.

Popular Comparisons

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