JesperLH / prob-tensor-toolboxLinks
Probabilistic Tensor Toolbox
☆23Updated 11 months ago
Alternatives and similar repositories for prob-tensor-toolbox
Users that are interested in prob-tensor-toolbox are comparing it to the libraries listed below
Sorting:
- Python Tensor Toolbox☆46Updated 3 weeks ago
- Tensor Train Toolbox☆125Updated 3 months ago
- Neural parameter calibration for multi-agent models. Uses neural networks to estimate marginal densities on parameters and networks☆32Updated 2 weeks ago
- The git repository for the TT-Toolbox☆211Updated 11 months ago
- ☆30Updated 7 years ago
- Time-varying Autoregression with Low Rank Tensors☆16Updated 4 years ago
- The collection of tensor decomposition, completion and recovery papers and codes.☆54Updated 6 years ago
- ☆21Updated 5 years ago
- Data-driven modeling of chaotic systems in the form of SDEs and nonlinear observation maps☆19Updated 5 years ago
- MATLAB implementation of ManPG☆13Updated 3 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆67Updated last year
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆33Updated last year
- Linear and non-linear spectral forecasting algorithms☆139Updated 4 years ago
- ☆11Updated 3 years ago
- Variational Gaussian Process State-Space Models☆25Updated 10 years ago
- MATLAB packages accompanying the review article "The Multiverse of Dynamic Mode Decomposition Algorithms"☆20Updated last year
- Multi-Output Gaussian Process Toolkit☆183Updated 8 months ago
- MATLAB codes for multilevel optimal transport☆26Updated 6 years ago
- Bayesian neural networks via MCMC: tutorial☆61Updated last year
- Learning unknown ODE models with Gaussian processes☆27Updated 7 years ago
- Active Subspace Data Sets☆33Updated 8 years ago
- ☆200Updated 10 months ago
- ☆127Updated 8 years ago
- Code for the paper "XTrace: Making the most of every sample in stochastic trace estimation"☆18Updated 2 years ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆16Updated 6 months ago
- Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.☆28Updated 4 months ago
- ☆16Updated last year
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆101Updated 6 years ago
- tensor-train tensor completion (T3C), which is based on tt decomposition and gradient descent.☆12Updated 7 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 9 years ago