Clustering with natural algorithms
Project description
Clustering with natural algorithms
pyriad offers clustering with a variety of natural algorithms built with Python on top of the deep learning library PyTorch.
You can extend pyriad according to your own needs. You can implement custom algorithms by extending simple abstract classes.
Pyriad is highly parallelizable and transferable to GPU.
What is included?
As of today, the following algorithms have been implemented:
- Particle Swarm Optimization (PSO)
- Cuckoo Search (CS)
- Wolf Search (WS)
- Ant Colony Optimization (ACO)
- Bat Algorithm (BAT)
- Artificial Fish Swarm (AFS)
- Firefly Algorithm (FF)
- Flower Pollination Algorithm (FP)
- Bee Colony Optimization (BCO)
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Source Distribution
pyriad-0.0.7.tar.gz
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Built Distribution
pyriad-0.0.7-py3-none-any.whl
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