molcik/python-neuron
Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons
This provides various single-neuron and multi-layer perceptron models, trained with gradient descent or Levenberg–Marquardt algorithms, for tasks like time series forecasting or pattern recognition. You input your historical data (targets and corresponding inputs), and it outputs predictions or classifications. It's designed for data scientists or researchers who need to quickly implement and test different neural network architectures for predictive modeling.
Use this if you are a data scientist looking for a straightforward way to apply and compare various basic neural network models for prediction or classification tasks.
Not ideal if you need to build complex deep learning models with many layers, custom architectures, or require GPU acceleration.
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Language
Python
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Last pushed
Jan 06, 2026
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