Alternatives and similar repositories for KDE-diffusion

Users that are interested in KDE-diffusion are comparing it to the libraries listed below

• dg227 / NLSA
  Kernel methods for statistical modeling of dynamical systems
  ☆26Updated last month
• cphyc / FyeldGenerator
  Easily generate random fields
  ☆20Updated this week
• zezhongzhang / EnSF
  Code repository for paper: An ensemble score filter for tracking high-dimensional nonlinear dynamical systems
  ☆20Updated last year
• bgailleton / TVD_Condat2013
  Python implementation of the 1D Total Variation Denoising algorithm A Direct Algorithm for 1D Total Variation Denoising (Sign. Proc. Lett…
  ☆12Updated last month
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆75Updated 11 months ago
• lucadellalib / bayestorch
  Lightweight Bayesian deep learning library for fast prototyping based on PyTorch
  ☆14Updated 2 years ago
• mingdeyu / DGP
  Python package 'dgpsi' for deep and linked Gaussian process emulations
  ☆28Updated last week
• VSainteuf / mcssa
  Python implementation of Monte Carlo Singular Spectrum Analysis for univariate time series.
  ☆43Updated 3 years ago
• AdrienCorenflos / particle_mala
  Gradient-informed particle MCMC methods
  ☆12Updated last year
• PhIMaL / temporal_normalizing_flows
  ☆11Updated 4 years ago
• carnotresearch / cr-sparse
  Functional models and algorithms for sparse signal processing
  ☆96Updated 2 years ago
• peterparity / PDE-VAE-pytorch
  PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
  ☆36Updated 3 years ago
• ThomasSavary08 / Lyapynov
  Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.
  ☆27Updated 3 months ago
• mjlaine / mcmcstat
  MCMC toolbox for Matlab
  ☆93Updated 4 years ago
• gngdb / pytorch-minimize
  Use scipy.optimize.minimize as a PyTorch Optimizer.
  ☆73Updated last year
• CUQI-DTU / CUQIpy
  ☆51Updated last week
• PyLops / pyproximal
  PyProximal – Proximal Operators and Algorithms in Python
  ☆80Updated 2 weeks ago
• PKU-CMEGroup / InverseProblems.jl
  ☆117Updated this week
• MaxRamgraber / Triangular-Transport-Toolbox
  A Python toolbox for Bayesian inference and generative sampling, implementing triangular transport maps from samples.
  ☆11Updated 4 months ago
• zzaym / Probabilistic-and-Bayesian-PCA
  Principal Component Analysis from a statistical perspective
  ☆34Updated 6 years ago
• rickchartrand / regularized_differentiation
  Numerical differentiation with regularization, allowing differentiation of noisy data without amplifying noise. Uses total variation and …
  ☆31Updated 7 years ago
• dfloryan / neural-manifold-dynamics
  Reduced-order modelling using an atlas of charts
  ☆27Updated 3 years ago
• erichson / optht
  Optimal Hard Threshold for Matrix Denoising
  ☆39Updated 4 years ago
• FabianAltekrueger / patchNR
  Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization".
  ☆20Updated last year
• pnkraemer / tornadox
  Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…
  ☆21Updated last year
• japlatt / BasicReservoirComputing
  Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents
  ☆31Updated 3 years ago
• alan-turing-institute / mogp-emulator
  Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
  ☆53Updated 2 years ago
• jvendrow / fnnls
  [PyPi Package] Implementation of the Fast Nonnegative Least Squares algorithm.
  ☆35Updated 2 years ago
• rfeinman / pytorch-lasso
  L1-regularized least squares with PyTorch
  ☆72Updated 2 years ago
• andgoldschmidt / derivative
  Optimal numerical differentiation of noisy time series data in python.
  ☆66Updated this week