BhavyeMathur/redstone-ml
High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust
This project helps Rust developers perform high-performance numerical computations and machine learning tasks directly within their applications. It takes numerical data in multi-dimensional arrays (tensors) and allows for complex mathematical operations, including linear algebra and automatic differentiation for training machine learning models. The ideal user is a Rust developer building data-intensive applications who needs fast, efficient numerical processing.
No commits in the last 6 months.
Use this if you are a Rust developer needing to implement machine learning models, perform advanced tensor algebra, or require dynamic automatic differentiation with strong performance.
Not ideal if you are not a Rust developer, or if you need a high-level, off-the-shelf machine learning solution that doesn't require direct code implementation.
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Rust
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Last pushed
Jun 08, 2025
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