KAN-PyTorch and KAN
Maintenance
0/25
Adoption
7/25
Maturity
16/25
Community
10/25
Maintenance
0/25
Adoption
4/25
Maturity
16/25
Community
0/25
Stars: 25
Forks: 3
Downloads: —
Commits (30d): 0
Language: Python
License: GPL-3.0
Stars: 5
Forks: —
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m
No Package
No Dependents
Stale 6m
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 KAN
ceenaa/KAN
Kolmogorov-Arnold Networks simple implementation using pytorch
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