kyegomez/swarms-pytorch

Swarming algorithms like PSO, Ant Colony, Sakana, and more in PyTorch 😊

48
/ 100
Emerging

This tool helps AI researchers and machine learning engineers develop next-generation AI systems using bio-inspired 'swarm intelligence' algorithms. It takes your existing machine learning models and data, applying strategies like Particle Swarm Optimization or Ant Colony Optimization, to produce more efficient and powerful AI architectures. It's designed for those building advanced AI for enterprise-scale applications.

139 stars.

Use this if you are a machine learning engineer or AI researcher looking to explore novel, bio-inspired algorithms to optimize and enhance your AI models beyond traditional Transformer or State Space Models.

Not ideal if you are looking for a simple, off-the-shelf solution for common machine learning tasks without custom model development.

AI-architecture machine-learning-optimization advanced-AI-development bio-inspired-algorithms enterprise-AI
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 12 / 25

How are scores calculated?

Stars

139

Forks

12

Language

Python

License

MIT

Last pushed

Jan 31, 2026

Commits (30d)

0

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