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Clustering with nature inspired algorithms

Project description

Clustering with nature inspired algorithms

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pyriad offers clustering with a variety of nature inspired 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.

Algorithms

As of today, the following algorithms have been implemented:

  • [x] Particle Swarm Optimization (PSO) [1]
  • [x] Cuckoo Search (CS) [2]
  • [x] Grey Wolf Optimization (GWO) [3]
  • [x] Flower Pollination Algorithm (FP) [4]

Installation

  1. Install PyTorch. You can find it here: PyTorch
  2. pip install pyriad

Examples

You can find examples in examples/ directory

You can also run examples: python examples/pso_iris.py

You might want to export PYTHONPATH=/path/to/this/directory

Contribute

  1. Implement new algorithms
  2. Improve code design
  3. Improve comments and readme
  4. Tests

Project details


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