robsalomone / Deep-Probabilistic-Models-CourseLinks
Deep Probabalistic Models: Materials for my course for the Australian Mathematical Sciences Institute (AMSI) Winter School 2021
☆11Updated 3 years ago
Alternatives and similar repositories for Deep-Probabilistic-Models-Course
Users that are interested in Deep-Probabilistic-Models-Course are comparing it to the libraries listed below
Sorting:
- Functional Data Analysis using Square-Root Slope Framework☆10Updated 4 years ago
- Home for the book-in-progress 'Bayesian Learning'☆28Updated this week
- ☆13Updated 3 years ago
- StatististicalRethinking notebook project using Stan and Pluto notebooks.☆18Updated last year
- Course material for the PhD course in Advanced Bayesian Learning☆60Updated 6 months ago
- Short course on dimension reduction for AMSI☆35Updated 2 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…☆21Updated last year
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Lectures on Quantitative Economics Using JAX☆45Updated this week
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago
- R-package for building and fitting Bayesian ODE models in Stan☆29Updated last year
- This tutorial is a basic guide to understanding the Zig-Zag Sampling method. This document is released with the aim of diffusion and shar…☆21Updated 6 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆28Updated 7 years ago
- Turing.jl port of the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill, and Aki Vehtari☆19Updated 3 years ago
- DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop☆35Updated 4 years ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated 2 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated last week
- stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…☆25Updated 3 years ago
- ☆29Updated 4 years ago
- Slides for Bayesian Workshops across the world☆13Updated last year
- Tutorial materials of the Probabilistic Numerics Spring School.☆35Updated 2 years ago
- Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…☆13Updated 2 years ago
- Bayesian inference and posterior analysis for Python☆45Updated last year
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆68Updated 6 months ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 7 months ago
- Book Chapter Drafts☆35Updated last year
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Updated 2 years ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆42Updated 2 years ago
- Programming of Simulation, Analysis, and Learning Systems Course Materials☆37Updated this week