qkan and KAN

qkan

Established

KAN

Experimental

Maintenance 10/25

Adoption 7/25

Maturity 24/25

Community 17/25

Maintenance 0/25

Adoption 4/25

Maturity 16/25

Community 0/25

Stars: 20

Forks: 8

Downloads: —

Commits (30d): 0

Language: Python

License: Apache-2.0

Stars: 5

Forks: —

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: MIT

No risk flags

Stale 6m No Package No Dependents

About qkan

Jim137/qkan

PyTorch implementation of QKAN "Quantum-inspired Kolmogorov-Arnold Network" https://arxiv.org/abs/2509.14026

This tool helps researchers and machine learning practitioners build and train "Quantum-inspired Kolmogorov-Arnold Networks" (QKANs). It takes raw data and model configuration to produce trained models that can fit functions, classify data, or generate new data. This is ideal for those exploring advanced neural network architectures, especially those interested in quantum computing's influence on AI.

quantum-machine-learning neural-network-research function-approximation data-classification generative-modeling

About KAN

ceenaa/KAN

Kolmogorov-Arnold Networks simple implementation using pytorch

Related comparisons

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