wiseodd / MCMCLinks
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
☆380Updated 7 years ago
Alternatives and similar repositories for MCMC
Users that are interested in MCMC are comparing it to the libraries listed below
Sorting:
- Implementation of Markov Chain Monte Carlo in Python from scratch☆213Updated 4 years ago
- Collection of probabilistic models and inference algorithms☆241Updated 5 years ago
- Fast and flexible Gaussian Process regression in Python☆459Updated this week
- ☆235Updated 7 years ago
- Manifold Markov chain Monte Carlo methods in Python☆230Updated last week
- Interactive Markov-chain Monte Carlo Javascript demos☆856Updated last year
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆405Updated last year
- Deep neural network kernel for Gaussian process☆207Updated 4 years ago
- Deep Gaussian Processes in Python☆234Updated 4 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- UNIVR PDE course project and just for fun☆117Updated 8 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆270Updated 5 years ago
- A list of Python-based MCMC & ABC packages☆123Updated 2 weeks ago
- Introduction to Uncertainty Quantification☆253Updated 3 years ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- Bayesian optimization for Python☆246Updated 3 years ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 4 years ago
- Sequential Monte Carlo in python☆458Updated last week
- Kernel structure discovery research code - likely to be unstable☆190Updated 9 years ago
- A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/☆82Updated 8 years ago
- Bayesian Gaussian mixture models in Python.☆63Updated 2 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆339Updated 2 years ago
- my blog☆268Updated 3 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆348Updated 7 years ago
- Surrogate Optimization Toolbox for Python☆209Updated 3 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆185Updated 10 years ago
- Numerical integration of Ito or Stratonovich SDEs☆168Updated 2 years ago
- Multi-Output Gaussian Process Toolkit☆175Updated 2 weeks ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated 10 months ago