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:
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆85Updated last year
- Parameterization Framework for parameterized model creation and handling.☆49Updated 2 weeks ago
- Bayesian optimization☆38Updated 5 years ago
- Cython interface for the GNU Scientific Library (GSL).☆121Updated 3 years ago
- A simple MCMC framework for training Gaussian processes adding functionality to GPy.☆21Updated 10 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- Code for AutoGP☆27Updated 5 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
- Dynamic Mode Decomposition☆59Updated 7 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 7 years ago
- Python/Cython wrapper for liblbfgs☆45Updated 7 years ago
- Python trust-region subproblem solvers for nonlinear optimization☆27Updated 11 months ago
- Sequential Monte Carlo working on top of pymc☆50Updated 6 years ago
- Bibtex for various Python science and machine learning software☆33Updated 2 years ago
- Performance benchmarks of Python, Numpy, etc. vs. other languages such as Matlab, Julia, Fortran.☆28Updated 2 weeks ago
- Python Bindings to ADOL-C☆45Updated 7 years ago
- python based implementation of the nested sampling algorithm☆27Updated 10 years ago
- Reference implementation of Optimistic Expected Improvement.☆49Updated 5 years ago
- Official Source-Code of the Modular toolkit for Data Processing (MDP)☆91Updated 7 months ago
- Data fitting with uncertainty analysis☆55Updated last week
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- sparse dynamic mode decomposition in python☆37Updated 9 years ago
- Kernel Density Estimation and (re)sampling☆61Updated 2 years ago
- Variational Inference for a Normal Distribution☆13Updated 7 years ago
- Bayesian hidden Markov models toolkit☆47Updated 4 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆46Updated 5 years ago
- Hamiltonain Monte Carlo in Python☆40Updated 5 years ago
- [ICML'18] Scalable Gaussian Processes with Grid-Structured Eigenfunctions☆20Updated 3 years ago
- A Python package for optimization☆60Updated 9 years ago
- Dynamic mode decomposition in Python☆13Updated 10 years ago