neural-fit/neuralfit
🦖 A fast & simple neuro-evolution library for Python
This library helps machine learning practitioners or researchers who want to train neural networks using evolution instead of traditional backpropagation. You provide your data (inputs and expected outputs), and the system evolves a neural network model to fit that data. This is ideal for those experimenting with alternative training methods for various predictive tasks.
No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning researcher or practitioner interested in exploring neuro-evolution as a method for training neural networks, especially if you're familiar with Keras.
Not ideal if you need a production-ready, stable, and highly optimized neural network training solution without expecting bugs or frequent API changes.
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Python
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Last pushed
Feb 11, 2023
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