loony-bean/fastapprox-rs

Rust version of fastapprox: approximate versions of functions commonly used in machine learning.

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This library provides highly optimized, approximate calculations for common mathematical functions used in machine learning and digital signal processing. If you're working with large datasets or real-time applications where computational speed is critical, it helps process numerical inputs much faster than standard precise functions. Data scientists, machine learning engineers, and DSP practitioners will find this useful for accelerating their models and algorithms.

24 stars and 2,596 monthly downloads. No commits in the last 6 months.

Use this if you need to perform calculations like exponentiation, logarithms, or sigmoid functions very quickly in machine learning or signal processing, and a slight approximation is acceptable for significant speed gains.

Not ideal if your application requires extreme numerical precision where even minor deviations could lead to critical errors, such as in financial modeling or scientific simulations requiring exact results.

machine-learning-inference digital-signal-processing real-time-analytics model-optimization embedded-ML
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 14 / 25
Maturity 8 / 25
Community 7 / 25

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Stars

24

Forks

2

Language

Rust

License

Last pushed

Sep 11, 2023

Monthly downloads

2,596

Commits (30d)

0

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