wesselb / varzLinks
Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX
☆23Updated 2 years ago
Alternatives and similar repositories for varz
Users that are interested in varz are comparing it to the libraries listed below
Sorting:
- 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
- Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt…☆120Updated 2 weeks ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago
- Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo i…☆104Updated 3 years ago
- Gaussian Process package based on data augmentation, sparsity and natural gradients☆137Updated last year
- A light interface to serial and multi-threaded Sequential Monte Carlo☆32Updated 3 years ago
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆130Updated last month
- Sampling with Blackjax on Aesara☆11Updated 2 years ago
- Benchmarks of Bayesian Nonparametric models in Turing and other PPLs☆28Updated last year
- Kernels, the machine learning ones☆14Updated 2 years ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- Exploratory analysis of Bayesian models with Julia☆109Updated this week
- Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform…☆125Updated 2 months ago
- A generic interface for linear algebra backends☆74Updated 8 months ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆38Updated 2 years ago
- Why multiple dispatch lets you write composable code☆40Updated 5 years ago
- Comparing performance and results of mcmc options using Julia☆38Updated 4 years ago
- Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff☆154Updated 2 months ago
- Preheat your MCMC☆79Updated last week
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 5 years ago
- Implementation of variational Bayes inference algorithms☆96Updated this week
- It slices, it dices, it splices!☆139Updated 5 months ago
- Approximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...☆38Updated last year
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated last month
- Robust implementation for random-walk Metropolis-Hastings algorithms☆116Updated 2 months ago
- Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms☆61Updated 2 weeks ago
- Turing.jl port of the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill, and Aki Vehtari☆19Updated 3 years ago
- Bayesian Linear Regression in Julia☆30Updated 2 months ago
- Sampling from intractable distributions, with support for distributed and parallel methods☆121Updated this week