Awesome Open Source

Programming Languages

Search results for bayesian inference

bayesian-inference x

515 search results found

Numpy Ml ⭐ 14,162

Machine learning, in numpy

Deep universal probabilistic programming with Python and PyTorch

Bayesian Modeling and Probabilistic Programming in Python

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Neural Tangents ⭐ 2,149

Fast and Easy Infinite Neural Networks in Python

Zhusuan ⭐ 2,139

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Causalnex ⭐ 2,109

A Python library that helps data scientists to infer causation rather than observing correlation.

Numpyro ⭐ 1,966

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Turing.jl ⭐ 1,925

Bayesian inference with probabilistic programming.

Pymc Resources ⭐ 1,838

PyMC educational resources

Bayesian Neural Networks ⭐ 1,633

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

Infer ⭐ 1,519

Infer.NET is a framework for running Bayesian inference in graphical models

Awesome Normalizing Flows ⭐ 1,232

Awesome resources on normalizing flows.

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

Pytorch Bayesiancnn ⭐ 1,181

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Probabilistic_robotics ⭐ 1,080

solution of exercises of the book "probabilistic robotics"

RStan, the R interface to Stan

BAyesian Model-Building Interface (Bambi) in Python.

Bda_py_demos ⭐ 851

Bayesian Data Analysis demos for Python

Dsge.jl ⭐ 831

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Fortuna ⭐ 824

A Library for Uncertainty Quantification.

Bayespy ⭐ 666

Bayesian Python: Bayesian inference tools for Python

Blackjax ⭐ 636

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

Bayesian Stats Modelling Tutorial ⭐ 601

How to do Bayesian statistical modelling using numpy and PyMC3

Bayesian_changepoint_detection ⭐ 597

Methods to get the probability of a changepoint in a time series.

Dbda Python ⭐ 543

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

Bda_r_demos ⭐ 538

Bayesian Data Analysis demos for R

Bayesian Analysis Recipes ⭐ 510

A collection of Bayesian data analysis recipes using PyMC3

Simulation-based inference toolkit

Rainier ⭐ 418

Bayesian inference in Scala.

Bnlearn ⭐ 406

Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

Soss.jl ⭐ 401

Probabilistic programming via source rewriting

Bayesian Torch ⭐ 396

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Monad Bayes ⭐ 389

A library for probabilistic programming in Haskell.

Statistical_rethinking_with_brms_ggplot2_and_the_tidyverse ⭐ 379

The bookdown version lives here: https://bookdown.org/content/3890

Measuretheory.jl ⭐ 377

"Distributions" that might not add to one.

Rstanarm ⭐ 371

rstanarm R package for Bayesian applied regression modeling

Gaussian processes in JAX.

Particles ⭐ 351

Sequential Monte Carlo in python

Stheno.jl ⭐ 327

Probabilistic Programming with Gaussian processes in Julia

Dynesty ⭐ 323

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Variational autoencoders for collaborative filtering

Statsexpressions ⭐ 303

Tidy data frames and expressions with statistical summaries 📜

Pyvarinf ⭐ 300

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

ELFI - Engine for Likelihood-Free Inference

Dynamichmc.jl ⭐ 235

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

Bayesian Evolutionary Analysis by Sampling Trees

Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)

Bayesflow ⭐ 216

A Python library for amortized Bayesian workflows using generative neural networks.

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

Rethinking Tensorflow Probability ⭐ 207

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Pytensor ⭐ 201

PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

Mrbayes ⭐ 201

MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. For documentation and downloading the program, please see the home page:

A resource list for causality in statistics, data science and physics

Exoplanet ⭐ 199

Fast & scalable MCMC for all your exoplanet needs!

Master Thesis Bayesiancnn ⭐ 197

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

⚡️ zeus: Lightning Fast MCMC ⚡️

Bayesianrecurrentnn ⭐ 196

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

Probabilistic Models ⭐ 196

Collection of probabilistic models and inference algorithms

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

Cmdstan ⭐ 194

CmdStan, the command line interface to Stan

A Bayesian Analysis Toolkit in Julia

Pymultinest ⭐ 185

Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.

Shinystan ⭐ 181

shinystan R package and ShinyStan GUI

Bijectors.jl ⭐ 180

Implementation of normalising flows and constrained random variable transformations

The Books Making You Better ⭐ 169

A list of time-lasting classic books, which not only help you figure out how it works, but also grasp when it works and why it works in that way.

A domain-specific probabilistic programming language for scalable Bayesian data cleaning

Gaussian Processes for Experimental Sciences

Probabilistic Backpropagation ⭐ 159

Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.

Posteriordb ⭐ 154

Database with posteriors of interest for Bayesian inference

Indaba Pracs 2022 ⭐ 151

Notebooks for the Practicals at the Deep Learning Indaba 2022.

Gpstuff ⭐ 144

GPstuff - Gaussian process models for Bayesian analysis

The base NIMBLE package for R

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

Pyhawkes ⭐ 139

Python framework for inference in Hawkes processes.

Survival Analysis Using Deep Learning ⭐ 138

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

Factored inference for discrete-continuous smoothing and mapping.

Invertiblenetworks.jl ⭐ 131

A Julia framework for invertible neural networks

Bayesloop ⭐ 127

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

A Nice Mc ⭐ 125

Code for "A-NICE-MC: Adversarial Training for MCMC"

Aboleth ⭐ 125

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Celeste.jl ⭐ 124

Scalable inference for a generative model of astronomical images

Ml_algo_in_depth ⭐ 124

ML algorithms in depth

Bayesian Earthquake Analysis Tool

Loopy belief propagation for factor graphs on discrete variables in JAX

Statrethink_course_in_pymc3 ⭐ 119

Statistical Rethinking course in pymc3

Diffeqbayes.jl ⭐ 119

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Pythonmcmc ⭐ 119

A list of Python-based MCMC & ABC packages

Libcluster ⭐ 119

An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.

Glmm In Python ⭐ 114

Generalized linear mixed-effect model in Python

BOPP: Bayesian Optimization for Probabilistic Programs

Paramonte ⭐ 112

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

Code for Bayesian Analysis

Bayesian_bootstrap ⭐ 110

bayesian bootstrapping in python

Probflow ⭐ 108

A Python package for building Bayesian models with TensorFlow or PyTorch

Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference

Projpred ⭐ 106

Projection predictive variable selection

Lowlevelparticlefilters.jl ⭐ 105

State estimation, smoothing and parameter estimation using Kalman and particle filters.

Pymc3_vs_pystan ⭐ 105

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation video: https://www.youtube.com/watch?v=Jb9eklfbDyg

Temporalgps.jl ⭐ 104

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

Related Searches

Python Bayesian Inference (303)

1-100 of 515 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.