RajDandekar / MSML21_BayesianNODELinks
☆40Updated 4 years ago
Alternatives and similar repositories for MSML21_BayesianNODE
Users that are interested in MSML21_BayesianNODE are comparing it to the libraries listed below
Sorting:
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations☆71Updated 3 weeks ago
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆130Updated 2 weeks ago
- ☆20Updated 2 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago
- Optimal transport algorithms for Julia☆111Updated 4 months ago
- Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo i…☆104Updated 3 years ago
- Latent Differential Equations models in Julia.☆38Updated 3 years ago
- Methods for computational information geometry☆49Updated this week
- ☆31Updated 3 years ago
- Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.☆59Updated 3 weeks ago
- Practical tools for quantifying how well a sample approximates a target distribution☆28Updated 5 years ago
- No need to train, he's a smooth operator☆45Updated 2 weeks ago
- Fast and automatic structural identifiability software for ODE systems☆126Updated last week
- Material for a full course on applied nonlinear dynamics, nonlinear timeseries analysis, and complex systems, in Julia☆65Updated last year
- Taylor-mode automatic differentiation for higher-order derivatives☆81Updated 3 weeks ago
- Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations☆47Updated 2 weeks ago
- Gaussian Process package based on data augmentation, sparsity and natural gradients☆137Updated last year
- learning state-space targets in dynamical systems☆28Updated last year
- Automatic differentiation of implicit functions☆136Updated 2 weeks ago
- ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.☆31Updated 2 weeks ago
- A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.☆124Updated last month
- A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.☆112Updated 3 years ago
- A Review of Sensitivity Methods for Differential Equations☆33Updated last year
- Structure Preserving Machine Learning Models in Julia☆54Updated last week
- Differentiating optimization programs w.r.t. program parameters☆136Updated 3 weeks ago
- Comparsion of Julia's GPU Kernel based ODE solvers with other open-source GPU ODE solvers☆28Updated last year
- Julia implementation of stochastic optimization algorithms for large-scale optimal transport.☆18Updated 4 years ago
- DifferentialEquations.jl with PyTorch☆11Updated 3 years ago
- Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.☆48Updated last week
- An experimental implementation of sum-product networks with dense unitary transformations in leaves☆13Updated 3 years ago