Delta is an open-source machine learning framework in Rust
Coming Soon
A package manager for machine learning datasets and models.

Features

Delta

  • Fast

    Built with Rust, Δ is designed for high performance, making it ideal for compute-intensive machine learning tasks.

  • Usability

    APIs are designed for simplicity, making it easy for beginners to get started while providing advanced customization options for experienced users.

  • Extensibility

    The framework is modular, allowing users to plug in custom layers, optimizers, or preprocessing pipelines tailored to their unique needs.

  • Efficient and Scalable Tools

    It provides highly efficient and scalable tools for building and training neural networks, supporting both small-scale experiments and large-scale production systems.

  • Classical ML

    Includes support for classical ML algorithms such as decision trees, random forests, SVMs and more.

  • Distributed and Parallel Training

    Future

    Native support for distributed and parallel training ensures that Delta scales effortlessly across multi-core systems and cloud environments.

  • Integration to Nebula

    Future

    Direct access to datasets and models managed by the Nebula registry, public or private.

Nebula

  • Command-line tool

    Future

    Manage datasets and models directly from a powerful CLI, providing full control over your workflow without leaving the terminal.

  • Virtual environments

    Future

    Run multiple ML projects on the same machine without conflicts, ensuring that dependencies are isolated for seamless development.

  • Dataset management

    Future

    Organize datasets efficiently by metadata, versions, variants, dependencies, and lifecycles, enabling easy tracking and reproducibility.

  • Pretrained models

    Future

    Access and manage pretrained models with versioning and adaptations, enabling easy integration into your projects and reducing time spent on training.

  • Template projects

    Future

    Use prebuilt templates based on the Delta framework for faster setup, allowing you to quickly begin experiments with minimal configuration.

  • Public registry

    Future

    Browse datasets and models shared by the community in the Nebula registry, ensuring access to high-quality resources for your projects.

  • Private registry

    Future

    Host your own Nebula registry for secure and confidential work, keeping sensitive data and models private while maintaining efficient access management.

Roadmap

  • 2025 Q2

    MVP of Delta

  • 2025 Q4

    Transfer Learning & Nebula Integration

Our Sponsors