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KAN refinement #44
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KAN refinement #44
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KAN implementation was added to the models.py file. The implementation consists of two classes: 1. class KANLinear - realization of a linear layer using Kolmogorov-Arnold splines. It allows to model nonlinear dependencies between input and output data using splines. 2. class KAN - realization of multilayer network using Kolmogorov-Arnold splines.
Adding an example of solving the wave equation using KAN.
Adding an example of solving the Bürgers equation using KAN.
Update model.py
Adding git modules: kan, efficient_kan, fast_kan
Update kan example
Create efficient kan example
Update burgers inverse kan example
Create burgers inverse example
This reverts commit 8d7a28f.
Create burgers inverse efficient kan example
Update requirements
Update requirements
Adding condition for fast kan
Adding some attributes for different models
Adding some attributes for different models
Update efficient kan example
Update kan parameters in wave physics kan example
Create wave physics fast kan example
Delete custom KAN
Update parameters
Update parameters
Update parameters
Create burgers inverse example with fast kan model
Update some parameters
Create Lotka-Volterra example with KAN
Create Lotka-Volterra example with efficient KAN
Create Lotka-Volterra example with fast KAN
Change some parameters in fast kan model
Only experiments parameters change. Good to go. |
SuperSashka
approved these changes
Oct 3, 2024
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Adding some examples used KAN models.