An open-source machine learning framework in Rust Δ.
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Speed: Built with Rust, Δ is designed for high performance, making it ideal for compute-intensive machine learning tasks.
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Usability: Intuitive APIs that balance simplicity for beginners and flexibility for advanced users to customize and extend functionality.
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Scalability: Provides efficient tools to build and train neural networks, handling workloads of various sizes seamlessly.
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Comprehensive Features: Includes a rich set of components such as neural network layers, activation functions, loss functions, optimizers, and robust data handling utilities.
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Open Source: Actively maintained with a commitment to community-driven improvements and extensibility.
Are you having trouble with Delta? We want to help!
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If you’d like to discuss Delta, head over to the GitHub Discussions section and join the conversation.
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Check out our wiki for guides, tips, and additional resources.
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If you are upgrading, read the release notes for upgrade instructions and "new and noteworthy" features.
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Ask a question we monitor stackoverflow.com for questions tagged with
delta-rs. -
Report bugs with Delta at https://github.com/delta-rs/delta/issues.
Delta uses GitHub’s integrated issue tracking system to record bugs and feature requests. If you want to raise an issue, please follow the recommendations below:
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Before you log a bug, please search the issue tracker to see if someone has already reported the problem.
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If the issue doesn’t already exist, create a new issue.
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Please provide as much information as possible with the issue report. We like to know the Delta version, operating system, and Rust version version you’re using.
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If you need to paste code or include a stack trace, use Markdown. ``` escapes before and after your text.
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If possible, try to create a test case or project that replicates the problem and attach it to the issue.
Before contributing, please read the contribution guide for useful information how to get started with Delta as well as what should be included when submitting a contribution to the project.
The following contributors have either helped to start this project, have contributed code, are actively maintaining it (including documentation), or in other ways being awesome contributors to this project. We'd like to take a moment to recognize them.
The BSD 3-Clause License.