The somoclu project implements self-organizing maps in parallel across CPUs, GPUs, and clusters.
Open source
24 alternativesNeuron
The Neuron library implements linear, quadratic, radial-basis, and multilayer neural network units.
About Neuron
Neuron provides Python classes for LNU, QNU, RBF, MLP and MLP-ELM neural units learned with gradient descent or Levenberg-Marquardt methods.
Examples use X as inputs and Y as targets with train, count and countSerie methods and settings for epochs, prediction steps and logging. It needs pandas and numpy to work.
Key features
- Linear neural unit class trained with gradient descent
- Quadratic neural unit class trained with Levenberg-Marquardt
- Radial basis function unit with adjustable beta parameter
- Multilayer perceptron variants including extreme learning machine
- Series evaluation using inputs X and targets Y
- Configurable epochs, prediction steps and logging options
Best for: Python users experimenting with LNU, QNU, RBF and MLP units for prediction tasks.
Good for
- Covers LNU, QNU, RBF, MLP and MLP-ELM units
- Includes gradient descent and Levenberg-Marquardt learning
- Requires only pandas and numpy dependencies
Watch out for
- Requires pandas and numpy to work
Neuron at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Neuron FAQ
What dependencies does Neuron need?
It needs pandas and numpy to work properly.
What neuron types are included?
LNU, QNU, RBF, MLP and MLP-ELM neurons.
How are data passed in the examples?
Y are targets and X are inputs.
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