RajDandekar / MSML21_BayesianNODE
☆36Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for MSML21_BayesianNODE
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations☆66Updated 3 weeks ago
- A light interface to serial and multi-threaded Sequential Monte Carlo☆31Updated 2 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 4 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo i…☆101Updated 2 years ago
- No need to train, he's a smooth operator☆43Updated this week
- Implementation of some simple adaptive MCMC algorithms☆29Updated 9 months ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆20Updated 4 months ago
- Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations☆44Updated this week
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆119Updated this week
- Optimal transport algorithms for Julia☆95Updated 4 months ago
- Fast and automatic structural identifiability software for ODE systems☆112Updated this week
- Latent Differential Equations models in Julia.☆37Updated 2 years ago
- Taylor-mode automatic differentiation for higher-order derivatives☆75Updated this week
- ☆35Updated last year
- Inference for diffusion processes with the use of `Guided Proposals`☆16Updated 4 years ago
- Differentiable matrix factorizations using ImplicitDifferentiation.jl.☆30Updated last year
- ☆31Updated last year
- learning state-space targets in dynamical systems☆27Updated 5 months ago
- A Julia package for the computation of hard, theoretically guaranteed bounds on the moments of jump-diffusion processes with polynomial d…☆15Updated 11 months ago
- Code for paper https://arxiv.org/abs/2306.07961☆52Updated 5 months ago
- A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiolo…☆13Updated 10 months ago
- Lightweight robust covariance estimation in Julia☆42Updated this week
- Methods for computational information geometry☆41Updated this week
- Total Variation Regularized Numerical Differentiation☆36Updated last year
- A light-weight library to help you create better plots for scientific publications, by taking care of the annoying bits like figure size,…☆43Updated last week
- Physics-Enhanced Regression for Initial Value Problems☆19Updated 9 months ago
- Comparsion of Julia's GPU Kernel based ODE solvers with other open-source GPU ODE solvers☆24Updated 10 months ago
- Material for a full course on applied nonlinear dynamics, nonlinear timeseries analysis, and complex systems, in Julia☆57Updated 2 months ago