KAN-PyTorch and LinearKAN

KAN-PyTorch
33
Emerging
LinearKAN
32
Emerging
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 10/25
Maintenance 6/25
Adoption 6/25
Maturity 15/25
Community 5/25
Stars: 25
Forks: 3
Downloads: —
Commits (30d): 0
Language: Python
License: GPL-3.0
Stars: 20
Forks: 1
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stale 6m No Package No Dependents
No Package No Dependents

About KAN-PyTorch

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.

deep-learning-research neural-network-design machine-learning-experimentation model-architecture scientific-machine-learning

About LinearKAN

catswe/LinearKAN

LinearKAN: A very fast implementation of Kolmogorov-Arnold Networks

This project offers a significantly faster way to train and use Kolmogorov-Arnold Networks (KANs) for machine learning tasks. It takes structured numerical data as input and produces processed numerical outputs, helping machine learning practitioners build and deploy models more efficiently. If you're working with AI models and need a powerful, yet accelerated alternative to traditional neural networks, this tool can help.

machine-learning deep-learning neural-networks model-training AI-acceleration

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