JuliaGaussianProcesses / Stheno.jl
Probabilistic Programming with Gaussian processes in Julia
☆343Updated 2 weeks ago
Alternatives and similar repositories for Stheno.jl:
Users that are interested in Stheno.jl are comparing it to the libraries listed below
- A Julia package for Gaussian Processes☆309Updated last month
- Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms☆272Updated this week
- Julia package for kernel functions for machine learning☆270Updated 3 weeks ago
- "Distributions" that might not add to one.☆393Updated this week
- Implementation of normalising flows and constrained random variable transformations☆234Updated this week
- Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.☆250Updated 2 months ago
- Probabilistic programming via source rewriting☆414Updated 8 months ago
- Abstract types and methods for Gaussian Processes.☆251Updated this week
- Gaussian Process package based on data augmentation, sparsity and natural gradients☆135Updated 11 months ago
- Next-generation AD☆439Updated 3 weeks ago
- Types and utility functions for summarizing Markov chain Monte Carlo simulations☆270Updated 3 weeks ago
- Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.☆274Updated this week
- Tools for the exploration of chaos and nonlinear dynamics☆194Updated 2 months ago
- Specifying, fitting, and evaluating statistical models in Julia☆252Updated 4 months ago
- Documentation and tutorials for the Turing language☆235Updated this week
- Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform…☆121Updated this week
- Reverse Mode Automatic Differentiation for Julia☆367Updated this week
- Bayesian Networks for Julia☆225Updated 2 weeks ago
- Manifolds.jl provides a library of manifolds aiming for an easy-to-use and fast implementation.☆397Updated this week
- Fast sequential, threaded, and distributed for-loops for Julia—fold for humans™☆309Updated last week
- Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem☆269Updated this week
- Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt…☆119Updated last month
- forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs☆452Updated this week
- Taylor polynomial expansions in one and several independent variables.☆357Updated this week
- Lazy arrays and linear algebra in Julia☆308Updated last week
- Types with default field values, keyword constructors and (un-)pack macros☆421Updated last year
- Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization☆413Updated this week
- A Julia package for evaluating distances (metrics) between vectors.☆448Updated this week
- Black-box optimization for Julia☆445Updated 3 months ago
- Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.☆149Updated last year