john-hen / KDE-diffusion
Kernel density estimation via diffusion in 1d and 2d.
☆16Updated 2 years ago
Alternatives and similar repositories for KDE-diffusion:
Users that are interested in KDE-diffusion are comparing it to the libraries listed below
- Python implementation of Monte Carlo Singular Spectrum Analysis for univariate time series.☆41Updated 2 years ago
- Kernel methods for statistical modeling of dynamical systems☆24Updated last month
- Python implementation of the 1D Total Variation Denoising algorithm A Direct Algorithm for 1D Total Variation Denoising (Sign. Proc. Lett…☆12Updated 6 years ago
- Easily generate random fields☆18Updated last week
- Python and NumPy extension module implementing the generalized signular value decomposition (GSVD).☆33Updated 5 years ago
- Reduced-order modelling using an atlas of charts☆24Updated 2 years ago
- Lightweight Bayesian deep learning library for fast prototyping based on PyTorch☆12Updated last year
- Parallel tempering MCMC sampler package written in Python☆51Updated 5 months ago
- Functional models and algorithms for sparse signal processing☆89Updated last year
- Matlab code for testing for differences between two multidimensional distributions (2-d K-S test, n-d energy test, Hotelling T^2 test)☆15Updated 8 years ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆22Updated last year
- ☆19Updated 2 years ago
- Compact Matlab code for the computation of the 1- and 2-Wasserstein distances in 1D☆42Updated 10 months ago
- Numerical differentiation with regularization, allowing differentiation of noisy data without amplifying noise. Uses total variation and …☆29Updated 6 years ago
- ☆45Updated last year
- An implementation of the Goodman & Weare MCMC sampler for matlab☆51Updated 6 years ago
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆48Updated last year
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆33Updated 3 years ago
- Gradient-informed particle MCMC methods☆11Updated last year
- The codes in the toolbox can be used to perform nonlinear time series analysis on single(or multi) channel data. This is done by mapping …☆31Updated 3 years ago
- Regularized expectation maximization algorithm (Matlab code)☆27Updated 7 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆61Updated 4 years ago
- Python wrapper for TISEAN☆29Updated 7 years ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 3 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- Python Tensor Toolbox☆29Updated last week
- Codes for Hilbert space reduced-rank GP regression☆14Updated 5 years ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆37Updated 2 years ago
- Nonlinear optimization for MATLAB.☆28Updated 4 years ago