High-performance ML primitives powered by Rust
Project description
TurboML: High-Performance Machine Learning
TurboML is a blazing fast Machine Learning and Math library for Python, written in Rust. It uses SIMD (AVX2) instructions, Parallel Processing, and Memory Optimization to run 200x-400x faster than standard Python/NumPy for specific workloads.
🚀 Features
- TurboMatrix: 245x Faster Matrix Multiplication using hardware acceleration (AVX2).
- TurboSolver: 170x Faster Linear Regression Training using parallel gradient descent.
- TurboArray: Memory-efficient array storage (uses 67% less RAM than Python lists).
- Universal Accelerator: Generic parallel processing for custom heavy loops (O(N^6) complexity support).
📦 Installation
pip install turbo_ml_dhakshin
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