Stars
这一篇notebook是关于我写的毕业论文的整个过程的方法和总结，包括了我在写论文时的一些感悟和体验。
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
A game theoretic approach to explain the output of any machine learning model.
A modified CNN architecture using Kolmogorov-Arnold Networks
Example codes for the SIAM Journal on Scientific Computing (SISC) paper "High-Dimensional Dynamic Stochastic Model Representation"
Python tools for computing high-dimensional model representations using compressed sensing methods.
Codes related to our paper "Sparse Polynomial Chaos Expansions via D-optimal Designs and Compressed Sensing." https://www.sciencedirect.com/science/article/pii/S0045782518301452?via%3Dihub
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Non-Uniform Rational B-Splines (NURBS) of any dimensionality
A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
Multivariate sensitivity adaptive polynomial chaos expansion (MVSA PCE)
Matlab codes for Arbitrary Polynomial Chaos Expansion