markchil / gptoolsLinks
Gaussian processes with arbitrary derivative constraints and predictions.
☆45Updated 5 years ago
Alternatives and similar repositories for gptools
Users that are interested in gptools are comparing it to the libraries listed below
Sorting:
- Parameterization Framework for parameterized model creation and handling.☆49Updated 4 months ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆85Updated 11 months ago
- Hamiltonain Monte Carlo in Python☆40Updated 5 years ago
- [ICML'18] Scalable Gaussian Processes with Grid-Structured Eigenfunctions☆21Updated 2 years ago
- Python wrapper to the DIRECT global optimization algorithm with scipy.optimize compatible call syntax☆30Updated 2 years ago
- Python Bindings to ADOL-C☆45Updated 7 years ago
- A simple MCMC framework for training Gaussian processes adding functionality to GPy.☆21Updated 10 years ago
- Sequential Monte Carlo working on top of pymc☆50Updated 6 years ago
- Methods for numerical differentiation of noisy data in python☆118Updated this week
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 7 years ago
- QUESO is a C++ library for doing uncertainty quantification. QUESO stands for Quantification of Uncertainty for Estimation, Simulation a…☆60Updated 5 years ago
- Cython interface for the GNU Scientific Library (GSL).☆121Updated 3 years ago
- Python trust-region subproblem solvers for nonlinear optimization☆27Updated 11 months ago
- Differentiable interface to FEniCS for PyMC3☆20Updated 2 years ago
- The ODES scikit for ordinary differential and algebraic equations, an extension to scipy☆124Updated 5 months ago
- Bayesian optimization☆37Updated 5 years ago
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆40Updated 5 years ago
- ∫ Straightforward numerical integration of systems of ordinary differential equations☆94Updated 2 months ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆38Updated 2 years ago
- Code for Kernel Adaptive Metropolis-Hastings☆33Updated 10 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆48Updated 4 years ago
- Examples in PyAMG☆26Updated 9 months ago
- A software package for flexible HPC GPs☆16Updated this week
- Python implementation of chebfun☆98Updated last month
- Fully nonstationary, heteroscedastic GP for Matlab☆15Updated 11 months ago
- Python-based Derivative-Free Optimization with Bound Constraints☆85Updated 9 months ago
- A pytorch version of hamiltonian monte carlo☆14Updated 6 years ago
- Performance benchmarks of Python, Numpy, etc. vs. other languages such as Matlab, Julia, Fortran.☆28Updated last year
- Multi-dimensional B-splines☆32Updated last week
- Second Order ERror Propagation☆47Updated 6 years ago