JuliaDynamics / Associations.jlLinks
Algorithms for quantifying associations, independence testing and causal inference from data.
☆168Updated 3 weeks ago
Alternatives and similar repositories for Associations.jl
Users that are interested in Associations.jl are comparing it to the libraries listed below
Sorting:
- Robust implementation for random-walk Metropolis-Hastings algorithms☆116Updated 3 weeks ago
- Implementation of variational Bayes inference algorithms☆93Updated this week
- Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform…☆125Updated last month
- Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms☆60Updated 3 weeks ago
- Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt…☆120Updated 5 months ago
- Delay coordinates embeddings and optimizing them☆30Updated last month
- Implementation of normalising flows and constrained random variable transformations☆251Updated this week
- Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo i…☆104Updated 3 years ago
- Implementation of domain-specific language (DSL) for dynamic probabilistic programming☆241Updated this week
- Prediction of timeseries using methods of nonlinear dynamics and timeseries analysis☆112Updated 3 years ago
- A Julia package for generating timeseries surrogates☆55Updated last week
- A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.☆112Updated 3 years ago
- Causal inference, graphical models and structure learning in Julia☆203Updated last month
- Documentation and tutorials for the Turing language☆236Updated 2 weeks ago
- Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex…☆73Updated last week
- Exploratory analysis of Bayesian models with Julia☆109Updated this week
- Abstract types and methods for Gaussian Processes.☆269Updated 2 weeks ago
- A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)☆123Updated last year
- Fast, general-purpose interactive applications for complex systems☆175Updated last year
- Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms☆307Updated this week
- Abstract types and interfaces for Markov chain Monte Carlo methods☆94Updated 2 weeks ago
- Julia package for simulating Dynamics on Networks☆144Updated last week
- Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox☆148Updated last month
- Fast and automatic structural identifiability software for ODE systems☆124Updated last week
- A package for Counterfactual Explanations and Algorithmic Recourse in Julia.☆122Updated last month
- Sampling from intractable distributions, with support for distributed and parallel methods☆116Updated this week
- A Bayesian Analysis Toolkit in Julia☆218Updated last month
- Tools for the exploration of chaos and nonlinear dynamics☆197Updated 2 weeks ago
- Boosted trees in Julia☆188Updated last week
- High-performance reactive message-passing based Bayesian inference engine☆114Updated this week