TuringLang / AdvancedMH.jlLinks
Robust implementation for random-walk Metropolis-Hastings algorithms
☆116Updated this week
Alternatives and similar repositories for AdvancedMH.jl
Users that are interested in AdvancedMH.jl are comparing it to the libraries listed below
Sorting:
- Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff☆154Updated 5 months ago
- Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms☆61Updated last month
- Implementation of variational Bayes inference algorithms☆104Updated last week
- Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo i…☆104Updated 3 years ago
- Abstract types and interfaces for Markov chain Monte Carlo methods☆100Updated this week
- Sampling from intractable distributions, with support for distributed and parallel methods☆131Updated this week
- Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform…☆125Updated 3 weeks ago
- Parameterise all the things☆123Updated last month
- Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt…☆121Updated 2 weeks ago
- Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations☆138Updated last month
- Uniform Interface for positive definite matrices of various structures☆112Updated last month
- Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox☆153Updated 3 weeks ago
- Fast and automatic structural identifiability software for ODE systems☆126Updated this week
- High level functions for analyzing the output of simulations☆86Updated last month
- Preheat your MCMC☆80Updated this week
- Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay…☆62Updated last week
- Provides likelihood functions for Gaussian Processes.☆44Updated last year
- A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.☆112Updated 4 years ago
- 🎹☆154Updated 2 weeks ago
- A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in s…☆63Updated this week
- Implementation of normalising flows and constrained random variable transformations☆259Updated this week
- ☆87Updated 4 years ago
- Delay coordinates embeddings and optimizing them☆30Updated 3 weeks ago
- Arrays which also have a label for each element for easy scientific machine learning (SciML)☆123Updated 2 weeks ago
- A simple shared suite of common derivative definitions☆74Updated 2 years ago
- An abstract interface for automatic differentiation.☆140Updated last year
- A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers☆100Updated 3 weeks ago
- Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms☆323Updated last week
- Hyperparameter optimization algorithms for use in the MLJ machine learning framework☆68Updated last month
- Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications☆225Updated last week