Simon-Bertrand/KAN-PyTorch
Kolmogorov–Arnold Networks (KAN) in PyTorch
This is a specialized tool for machine learning researchers and practitioners who are experimenting with novel neural network architectures. It allows you to build models using Kolmogorov-Arnold Networks (KANs), which are an alternative to traditional Multi-Layer Perceptrons (MLPs). You input your dataset and get a KAN-based model that can be trained for tasks like classification.
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Use this if you are exploring advanced neural network architectures beyond standard MLPs and are interested in the properties and performance of Kolmogorov-Arnold Networks for your machine learning tasks.
Not ideal if you need a fully-featured, production-ready KAN implementation with automatic pruning or symbolic capabilities, or if you are not comfortable working with experimental deep learning models.
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Language
Python
License
GPL-3.0
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Last pushed
May 05, 2024
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