78 Open source projects that are alternatives of or similar to Psgld

machine learning

The sample question for Interview a job in Binary options

Start with the Chempy tutorial

Nested Sampling post-processing and plotting

shinystan R package and ShinyStan GUI

Full Bayesian Inference for Hidden Markov Models

Blang's software development kit

Bayesian Data Analysis demos for R

Julia version of selected functions in the R package `rethinking`. Used in the StatisticalRethinkingStan and StatisticalRethinkingTuring projects.

Material for a workshop on Bayesian stats with R

Multi-core BUGS for fast Bayesian inference of large hierarchical models

A repository to keep track of all the code that I end up writing for my blog posts.

Python MCMC Sampler

Markov chain Monte Carlo solver for lattice spin systems implemented by Julialang

Bitmap generation from a single example with convolutions and MCMC

A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

CmdStanR: the R interface to CmdStan

DynamicHMC versions of StatisticalRethinking models

Bayesian Data Analysis demos for Python

Using neural network to build expressive hierarchical distribution; A variational method to accurately estimate posterior uncertainty; A fast and general method for Bayesian inference. (ICML 2018)

A C++ library of Markov Chain Monte Carlo (MCMC) methods

Collection of probabilistic models and inference algorithms

bayesplot R package for plotting Bayesian models

Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.

BAS R package https://merliseclyde.github.io/BAS/

A common framework for implementing and using log densities for inference.

Fast & scalable MCMC for all your exoplanet needs!

Implementing MCMC sampling from scratch in R for various Bayesian models

Regression with Summary Statistics.

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

Bayesian Generalized Linear Models with Time-Varying Coefficients

library of C++ functions that support applications of Stan in Pharmacometrics

Latent Dirichlet Allocation

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Bayesian nowcasting with adjustment for delayed and incomplete reporting to estimate COVID-19 infections in the United States

A multi-planet Radial Velocity and Transit modelling software

A web interface for exploring PyMC3 traces

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

Equilibrium Expectation for ERGM parameter estimation for large directed networks

Sequential Monte Carlo algorithm for approximation of posterior distributions.

An R package to manipulate MCMC samples

Make a sweet giant triangle confusogram (GTC) plot

Single-cell copy number calling and event history reconstruction.

PhyML -- Phylogenetic estimation using (Maximum) Likelihood

Bayesian Deep Learning with Stochastic Gradient MCMC Methods

High-performance Bayesian Data Analysis on the GPU in Clojure

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

Application of the L2HMC algorithm to simulations in lattice QCD.

DGMs for NLP. A roadmap.

Boltzmann Machines in TensorFlow with examples

Manifold Markov chain Monte Carlo methods in Python

Pieces of code that have appeared on my blog with a focus on stochastic simulations.

Bayesian Evolutionary Analysis by Sampling Trees

Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Bayesian methods in deep learning Summer School

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

RStan, the R interface to Stan

Automatic Reparameterisation of Probabilistic Programs

CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations