modusdatascience / choldateLinks
Somewhat fast updating and downdating of Cholesky factors in Python
☆33Updated 2 years ago
Alternatives and similar repositories for choldate
Users that are interested in choldate are comparing it to the libraries listed below
Sorting:
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- Parameterization Framework for parameterized model creation and handling.☆49Updated 3 months ago
- Variational Fourier Features☆85Updated 4 years ago
- Python library for optimizing noisy functions.☆88Updated 3 years ago
- Generate stochastic processes using Python. Unfortunately not maintained any longer =(☆111Updated 10 years ago
- Code for AutoGP☆27Updated 6 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- SGCRFpy: Sparse Gaussian Conditional Random Fields in Python☆29Updated 8 years ago
- Transforms univariate data into normally distributed data☆77Updated 3 years ago
- ELFI - Engine for Likelihood-Free Inference☆277Updated 5 months ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- ☆155Updated 6 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 5 years ago
- Likelihood-free inference toolbox.☆56Updated 8 years ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆87Updated last year
- Automatic differentiation for NumPy☆101Updated 10 years ago
- Gaussian process regression demo in Javascript☆36Updated 8 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆83Updated 5 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- ☆99Updated 7 years ago
- Variational Sparse Spectrum Gaussian Process toolkit☆22Updated 10 years ago
- A collection of Gaussian process models☆30Updated 8 years ago
- active learning + reusable workflows + likelihood free inference☆61Updated 8 years ago
- A python wrapper for the PROPACK library☆51Updated 8 years ago
- An MCMC algorithm for sampling continuous probability distributions in parallel☆19Updated 10 years ago
- Implementation of Hidden Markov Models in pymc3☆62Updated 8 years ago
- Modular Probabilistic Programming on MXNet☆104Updated 2 years ago
- Automatic differentiation + optimization☆102Updated 6 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 10 years ago