eth-cscs / abcpy-modelsLinks
☆12Updated 3 years ago
Alternatives and similar repositories for abcpy-models
Users that are interested in abcpy-models are comparing it to the libraries listed below
Sorting:
- This tutorial is a basic guide to understanding the Zig-Zag Sampling method. This document is released with the aim of diffusion and shar…☆22Updated 6 years ago
- R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)☆28Updated 5 years ago
- ☆40Updated 4 years ago
- DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop☆35Updated 4 years ago
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆33Updated 2 years ago
- Home for the book-in-progress 'Bayesian Learning'☆28Updated 2 weeks ago
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 8 months ago
- Practical tools for quantifying how well a sample approximates a target distribution☆28Updated 5 years ago
- The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.☆16Updated 3 years ago
- Slides for Bayesian Workshops across the world☆13Updated 2 years ago
- Comparing performance and results of mcmc options using Julia☆38Updated 4 years ago
- Bayesian inference for a logistic regression model in various languages☆43Updated 2 years ago
- ☆29Updated 4 years ago
- Inference for diffusion processes with the use of `Guided Proposals`☆16Updated 5 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆28Updated 7 years ago
- Initial look at directed acyclic graph (DAG) based causal models in regression.☆31Updated last year
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 4 years ago
- StatististicalRethinking notebook project using Stan and Pluto notebooks.☆18Updated last year
- Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"☆30Updated 3 years ago
- A light interface to serial and multi-threaded Sequential Monte Carlo☆32Updated 3 years ago
- Turing.jl port of the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill, and Aki Vehtari☆19Updated 3 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- Efficient, lightweight variational inference and approximation bounds☆45Updated last month
- Lectures on Quantitative Economics Using JAX☆46Updated last week
- Kernels, the machine learning ones☆14Updated 2 years ago
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated last year
- Programming of Simulation, Analysis, and Learning Systems Course Materials☆39Updated 3 weeks ago
- Machine learning time series regressions☆13Updated 4 months ago