palle-k / 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
Why this job: says: neural networks; topics: neural-networks, autograd, tensor, deep-learning, machine-learning
What it does
DL4S provides a high-level API for many accelerated operations common in neural networks and deep learning. It furthermore has automatic differentiation builtin, which allows you to create and train neural networks without needing to manually implement backpropagation - without needing a special Swift toolchain.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 50 days ago
- Stars
- 108
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Swift
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 80% closed
- 1 still open
- Pull requests
- 13 merged
- 2 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics, project record and preview image
Languages
- Swift 99%
- Python <1%
- C <1%
Topics
- autograd
- automatic-differentiation
- convolutional-neural-networks
- deep-learning
- deep-neural-networks
- derivatives
- gradient-descent
- machine-learning
- neural-networks
- optimizers
- recurrent-networks
- recurrent-neural-networks
Project record
- JobAI libraries and models
- StatusListed
- Commits347
- Forks13
- Watching5
- Stars in 28 days0
- CreatedMar 10, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026