Alternatives and similar repositories for SDE_DensityTracking:

Users that are interested in SDE_DensityTracking are comparing it to the libraries listed below

• juliusberner / Deep-Multilevel-Kolmogorov-PDE-Solver
  Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation
  ☆12Updated 3 years ago
• msuzen / bristol
  Parallel random matrix tools and complexity for deep learning
  ☆33Updated last year
• cog-imperial / GPdoemd
  Design of experiments for model discrimination using Gaussian process surrogate models
  ☆36Updated 5 years ago
• mattja / nsim
  Large scale simulation of ODEs or SDEs, analyze time series.
  ☆25Updated 5 years ago
• daviesl / trjp
  Source code repository for the AISTAT 2023 paper Transport Reversible Jump Proposals.
  ☆10Updated 2 years ago
• sbarratt / lsat
  "Least Squares Auto-Tuning" paper repository
  ☆9Updated 5 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 6 years ago
• TunnelTechnologies / dmrg-exact
  ☆14Updated 6 years ago
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 3 years ago
• josemiotto / pylevy
  Levy distributions for Python
  ☆36Updated last year
• michaelosthege / pyrff
  pyrff: Python implementation of random fourier feature approximations for gaussian processes
  ☆28Updated 2 years ago
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆25Updated 3 years ago
• rbondesan / CanonicalFlows
  Canonical normalizing flows
  ☆10Updated 5 years ago
• juliusberner / deep_kolmogorov
  Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
  ☆22Updated 2 years ago
• icme / cme258
  Libraries for Scientific Computing
  ☆10Updated 6 years ago
• rgiordan / paragami
  "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.
  ☆14Updated last year
• Stefan-Endres / shgo
  Simplicial Homology Global Optimization
  ☆48Updated last year
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆43Updated last year
• cvxgrp / cvx_opt_risk_neutral
  Convex optimization over risk-neutral probabilities.
  ☆15Updated 4 years ago
• ELIFE-ASU / PyInform
  A Python Wrapper for the Inform Information Analysis Library
  ☆50Updated 5 years ago
• neonnnnn / pyrfm
  A library for random feature maps in Python.
  ☆16Updated 4 years ago
• misokg / NIPS2017
  Multi-Information Source Optimization
  ☆22Updated 5 years ago
• Sohl-Dickstein / Hamiltonian-Annealed-Importance-Sampling
  Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…
  ☆26Updated 10 years ago
• kpchamp / MultiscaleDiscovery
  ☆27Updated 6 years ago
• cbherbert / stochrare
  This Python package aims at providing tools to study stochastic processes: integrate SDEs, solve Fokker-Planck equations, sample rare eve…
  ☆11Updated 4 years ago
• gauravdhama / eigengame_deepmind
  A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium
  ☆21Updated 3 years ago
• jeffrey-hokanson / PSDR
  Parameter space dimension reduction toolbox
  ☆13Updated 2 years ago
• marcharper / stationary
  Stationary distributions for arbitrary finite state Markov processes, including specializations for the Moran, Wright-Fisher, and other …
  ☆20Updated 6 years ago
• wesselb / mlkernels
  Kernels, the machine learning ones
  ☆14Updated 2 years ago