eth-cscs / abcpy-models
☆11Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for abcpy-models
- Kernels, the machine learning ones☆15Updated last year
- ☆36Updated 3 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 4 years ago
- This tutorial is a basic guide to understanding the Zig-Zag Sampling method. This document is released with the aim of diffusion and shar…☆18Updated 5 years ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 3 years ago
- A simple library to run variational inference on Stan models.☆27Updated last year
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 3 years ago
- ☆27Updated 2 years ago
- probabilistic programming focused on fun☆36Updated 3 weeks ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆21Updated last year
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 4 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆29Updated last year
- Implementation of the Gaussian Process Autoregressive Regression Model☆61Updated 3 years ago
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆11Updated 4 years ago
- Bayesian inference and posterior analysis for Python☆43Updated 11 months ago
- Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"☆25Updated 5 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 6 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆21Updated 3 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated last year
- The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.☆16Updated 2 years ago
- Deep Probabalistic Models: Materials for my course for the Australian Mathematical Sciences Institute (AMSI) Winter School 2021☆10Updated 2 years ago
- ☆15Updated 7 years ago
- Interactive textbook on state space models☆12Updated 2 years ago
- DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop☆34Updated 3 years ago
- Stochastic Gradient Markov Chain Monte Carlo and Optimisation☆17Updated 7 years ago
- Course materials of "Bayesian Modelling and Probabilistic Programming" with NumPyro, initially created for "AI for Science" MSc at the Af…☆48Updated last week
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 5 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆20Updated 4 months ago