Think-a-Tron/evolve

open source alpha evolve

33
/ 100
Emerging

This project helps developers and researchers automatically discover highly optimized algorithms, starting from basic code. By using AI to strategically mutate simple Python functions for tasks like matrix multiplication, it takes initial, inefficient code and outputs faster and more accurate versions. This is designed for those who need to improve the performance of core computational routines without relying on existing highly optimized libraries.

No commits in the last 6 months.

Use this if you are a developer or researcher looking to explore novel, high-performance algorithms for foundational mathematical operations, particularly when you need to understand or modify the underlying low-level implementation.

Not ideal if you simply need to perform common mathematical operations as quickly as possible and are comfortable using established, optimized libraries like NumPy.

algorithm-optimization high-performance-computing numerical-methods code-generation computational-research
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 8 / 25
Maturity 15 / 25
Community 8 / 25

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Stars

68

Forks

4

Language

Python

License

MIT

Last pushed

May 19, 2025

Commits (30d)

0

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