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The Top 90 Bayesian Inference Open Source Projects
Categories
>
Machine Learning
>
Bayesian Inference
Numpy Ml
⭐
10,170
Machine learning, in numpy
Pyro
⭐
7,035
Deep universal probabilistic programming with Python and PyTorch
Pymc3
⭐
5,922
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
Stan
⭐
2,088
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.
Zhusuan
⭐
2,060
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Neural Tangents
⭐
1,498
Fast and Easy Infinite Neural Networks in Python
Infer
⭐
1,374
Infer.NET is a framework for running Bayesian inference in graphical models
Turing.jl
⭐
1,292
Bayesian inference with probabilistic programming.
Causalnex
⭐
1,191
A Python library that helps data scientists to infer causation rather than observing correlation.
Numpyro
⭐
1,076
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Resources
⭐
1,052
PyMC3 educational resources
Bayesian Neural Networks
⭐
1,038
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Brms
⭐
888
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Pytorch Bayesiancnn
⭐
874
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Bda_py_demos
⭐
817
Bayesian Data Analysis demos for Python
Rstan
⭐
799
RStan, the R interface to Stan
Notes
⭐
794
Resources to learn more about Machine Learning and Artificial Intelligence
Probabilistic_robotics
⭐
781
solution of exercises of the book "probabilistic robotics"
Dsge.jl
⭐
650
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
Bayesian Stats Modelling Tutorial
⭐
542
How to do Bayesian statistical modelling using numpy and PyMC3
Dbda Python
⭐
540
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Bayesian Analysis Recipes
⭐
496
A collection of Bayesian data analysis recipes using PyMC3
Bda_r_demos
⭐
439
Bayesian Data Analysis demos for R
Vae_cf
⭐
412
Variational autoencoders for collaborative filtering
Statistical_rethinking_with_brms_ggplot2_and_the_tidyverse
⭐
360
The bookdown version lives here: https://bookdown.org/content/3890
Bayadera
⭐
343
High-performance Bayesian Data Analysis on the GPU in Clojure
Pyvarinf
⭐
326
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
Soss.jl
⭐
302
Probabilistic programming via source rewriting
Rstanarm
⭐
298
rstanarm R package for Bayesian applied regression modeling
Stheno.jl
⭐
267
Probabilistic Programming with Gaussian processes in Julia
Mcmc
⭐
235
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
Dynesty
⭐
230
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
Master Thesis Bayesiancnn
⭐
228
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
Probabilistic Models
⭐
224
Collection of probabilistic models and inference algorithms
Elfi
⭐
213
ELFI - Engine for Likelihood-Free Inference
Bayesianrecurrentnn
⭐
203
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
Statsexpressions
⭐
203
Tidy Dataframes and Expressions with Statistical Details 📉 📜🔣✅
Sbi
⭐
184
Simulation-based inference in PyTorch
Rethinking Tensorflow Probability
⭐
180
Statistical Rethinking (2nd Ed) with Tensorflow Probability
Shinystan
⭐
175
shinystan R package and ShinyStan GUI
Dynamichmc.jl
⭐
175
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Particles
⭐
167
Sequential Monte Carlo in python
Beast2
⭐
166
Bayesian Evolutionary Analysis by Sampling Trees
Celeste.jl
⭐
154
Scalable inference for a generative model of astronomical images
Survival Analysis Using Deep Learning
⭐
147
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
Mrbayes
⭐
141
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:
Glmm In Python
⭐
140
Generalized linear mixed-effect model in Python
Vbmc
⭐
138
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Bcpd
⭐
138
Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available
Blackjax
⭐
137
BlackJAX is a sampling library designed for ease of use, speed and modularity.
Tapas
⭐
136
TAPAS - Translational Algorithms for Psychiatry-Advancing Science
Exoplanet
⭐
136
Fast & scalable MCMC for all your exoplanet needs!
Libcluster
⭐
132
An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.
Rethinking Pyro
⭐
129
Statistical Rethinking with PyTorch and Pyro
Pclean
⭐
127
A domain-specific probabilistic programming language for scalable Bayesian data cleaning
Aboleth
⭐
125
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
Pymc3_vs_pystan
⭐
116
Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg
A Nice Mc
⭐
116
Code for "A-NICE-MC: Adversarial Training for MCMC"
Gpstuff
⭐
115
GPstuff - Gaussian process models for Bayesian analysis
Bopp
⭐
113
BOPP: Bayesian Optimization for Probabilistic Programs
Paramonte
⭐
113
ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.
Probflow
⭐
112
A Python package for building Bayesian models with TensorFlow or PyTorch
Bijectors.jl
⭐
111
Implementation of normalising flows and constrained random variable transformations
Bat.jl
⭐
106
A Bayesian Analysis Toolkit in Julia
Nimble
⭐
104
The base NIMBLE package for R
Dynare
⭐
99
This project has moved to https://git.dynare.org/Dynare/dynare
Rankpl
⭐
99
A qualitative probabilistic programming language based on ranking theory
Bayesian_cnn
⭐
98
Bayes by Backprop implemented in a CNN in PyTorch
Mxfusion
⭐
98
Modular Probabilistic Programming on MXNet
Bayesian Cognitive Modeling In Pymc3
⭐
93
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
Bayesloop
⭐
91
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
Pymc Example Project
⭐
90
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Pumas.jl
⭐
84
Pharmaceutical Modeling and Simulation for Nonlinear Mixed Effects (NLME), Quantiative Systems Pharmacology (QsP), Physiologically-Based Pharmacokinetics (PBPK) models mixed with machine learning
Projpred
⭐
83
Projection predictive variable selection
Alice
⭐
80
NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Bnlearn
⭐
74
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Paper Reading
⭐
69
Paper Reading
Bayestyper
⭐
65
A method for variant graph genotyping based on exact alignment of k-mers
Aorun
⭐
60
Deep Learning over PyTorch
Dnest4
⭐
51
Diffusive Nested Sampling
Looper
⭐
48
A resource list for causality in statistics, data science and physics
Hmm_for_autonomous_driving
⭐
43
🎓 Educational application of Hidden Markov Model to Autonomous Driving 🚕🚙🚗
Dblink
⭐
39
Distributed Bayesian Entity Resolution in Apache Spark
Autoppl
⭐
37
C++ template library for probabilistic programming
Ipynotebook_machinelearning
⭐
27
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
Pycurious
⭐
25
Python package for computing the Curie depth from the magnetic anomaly
Scikit Stan
⭐
24
A high-level Bayesian analysis API written in Python
Rhat_ess
⭐
20
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
Ggdistribute
⭐
17
ggplot2 extension for plotting distributions
Bayesflare
⭐
6
A python module to detect stellar flares using Bayesian model comparison
1-90 of 90 projects
Advertising
📦 10
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📦 124
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📦 192
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📦 78
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📦 73
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📦 113
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📦 80
Code Quality
📦 28
Collaboration
📦 32
Command Line Interface
📦 49
Community
📦 83
Companies
📦 60
Compilers
📦 63
Computer Science
📦 80
Configuration Management
📦 42
Content Management
📦 175
Control Flow
📦 213
Data Formats
📦 78
Data Processing
📦 276
Data Storage
📦 135
Economics
📦 64
Frameworks
📦 215
Games
📦 129
Graphics
📦 110
Hardware
📦 152
Integrated Development Environments
📦 49
Learning Resources
📦 166
Legal
📦 29
Libraries
📦 129
Lists Of Projects
📦 22
Machine Learning
📦 347
Mapping
📦 64
Marketing
📦 15
Mathematics
📦 55
Media
📦 239
Messaging
📦 98
Networking
📦 315
Operating Systems
📦 89
Operations
📦 121
Package Managers
📦 55
Programming Languages
📦 245
Runtime Environments
📦 100
Science
📦 42
Security
📦 396
Social Media
📦 27
Software Architecture
📦 72
Software Development
📦 72
Software Performance
📦 58
Software Quality
📦 133
Text Editors
📦 49
Text Processing
📦 136
User Interface
📦 330
User Interface Components
📦 514
Version Control
📦 30
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📦 71
Web Browsers
📦 42
Web Servers
📦 26
Web User Interface
📦 210