lawmurray / Birch
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
☆115Updated 2 months ago
Alternatives and similar repositories for Birch:
Users that are interested in Birch are comparing it to the libraries listed below
- Probabilistic programming via source rewriting☆414Updated 8 months ago
- Probabilistic Programming with Gaussian processes in Julia☆343Updated 2 weeks ago
- Bayesian Networks for Julia☆225Updated 2 weeks ago
- Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.☆149Updated last year
- Causal, Higher-Order, Probabilistic Programming☆168Updated 2 years ago
- Implementation of normalising flows and constrained random variable transformations☆234Updated this week
- Gaussian Process package based on data augmentation, sparsity and natural gradients☆135Updated 11 months ago
- Bayesian state-space modelling on high-performance hardware, including multicore, GPUs and distributed clusters.☆99Updated last year
- Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.☆250Updated 2 months ago
- "Distributions" that might not add to one.☆393Updated 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
- Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms☆272Updated this week
- High-performance reactive message-passing based Bayesian inference engine☆112Updated 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
- A Julia package for Gaussian Processes☆309Updated last month
- Implementations of the models from the Statistical Rethinking book with Turing.jl☆163Updated last year
- Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo i…☆101Updated 2 years ago
- Research package for automatic differentiation of programs containing discrete randomness.☆206Updated this week
- Types and utility functions for summarizing Markov chain Monte Carlo simulations☆270Updated 3 weeks ago
- Implementation of domain-specific language (DSL) for dynamic probabilistic programming☆202Updated this week
- Causal inference, graphical models and structure learning in Julia☆202Updated last week
- Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff☆151Updated this week
- A Julia package to support conjugate prior distributions.☆47Updated 2 years ago
- Robust implementation for random-walk Metropolis-Hastings algorithms☆107Updated this week
- Neural Network primitives with multiple backends☆216Updated this week
- Tools for the exploration of chaos and nonlinear dynamics☆194Updated 2 months ago
- Reverse Mode Automatic Differentiation for Julia☆367Updated this week
- Abstract types and methods for Gaussian Processes.☆251Updated this week
- Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.☆215Updated 4 months ago
- Unbiased MCMC with couplings☆19Updated 5 years ago