modusdatascience / choldate
Somewhat fast updating and downdating of Cholesky factors in Python
☆32Updated last year
Alternatives and similar repositories for choldate:
Users that are interested in choldate are comparing it to the libraries listed below
- Code for AutoGP☆26Updated 5 years ago
- Disciplined convex stochastic programming. For the cvxstoc home page, please see:☆31Updated 4 years ago
- Likelihood-free inference toolbox.☆57Updated 7 years ago
- An MCMC algorithm for sampling continuous probability distributions in parallel☆19Updated 9 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 4 years ago
- ☆77Updated 2 years ago
- A Gaussian process toolbox in python☆42Updated 12 years ago
- Repository of models in Pyro☆29Updated 6 months ago
- Parameterization Framework for parameterized model creation and handling.☆48Updated 3 weeks ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 8 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- SGCRFpy: Sparse Gaussian Conditional Random Fields in Python☆29Updated 8 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- Python package for inference with Gaussian processes☆11Updated 9 years ago
- Gaussian process regression demo in Javascript☆36Updated 7 years ago
- ☆98Updated 6 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- Gaussian process regression code.☆24Updated 10 years ago
- Deep GPs with GPy☆31Updated 8 years ago
- Variational Fourier Features☆83Updated 3 years ago
- Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.☆16Updated 10 years ago
- Information Theoretic Tools for Python☆91Updated 5 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆81Updated 7 months ago
- Fast Function Extraction☆81Updated 4 months ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 4 years ago
- Code for Kernel Adaptive Metropolis-Hastings☆33Updated 10 years ago