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The Top 143 Bayesian Methods Open Source Projects on Github
Categories
>
Science
>
Bayesian Methods
Probabilistic Programming And Bayesian Methods For Hackers
⭐
23,963
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Edward
⭐
4,503
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Probability
⭐
3,573
Probabilistic reasoning and statistical analysis in TensorFlow
Stan
⭐
2,193
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.
Bayesian Machine Learning
⭐
1,151
Notebooks about Bayesian methods for machine learning
Uncertainty Baselines
⭐
778
High-quality implementations of standard and SOTA methods on a variety of tasks.
Bayesian Analysis Recipes
⭐
510
A collection of Bayesian data analysis recipes using PyMC3
Edward2
⭐
508
A simple probabilistic programming language.
Rstanarm
⭐
308
rstanarm R package for Bayesian applied regression modeling
Bayesab
⭐
278
🐢 bayesAB: Fast Bayesian Methods for A/B Testing
Pyemma
⭐
227
🚂 Python API for Emma's Markov Model Algorithms 🚂
Dapper
⭐
200
Data Assimilation with Python: a Package for Experimental Research
Dynamichmc.jl
⭐
187
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Shinystan
⭐
172
shinystan R package and ShinyStan GUI
Deep Kernel Transfer
⭐
142
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Pints
⭐
134
Probabilistic Inference on Noisy Time Series
Statrethink_course_in_pymc3
⭐
119
Statistical Rethinking course in pymc3
Nimble
⭐
112
The base NIMBLE package for R
Loo
⭐
110
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Probflow
⭐
108
A Python package for building Bayesian models with TensorFlow or PyTorch
Forneylab.jl
⭐
106
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
Pymc3_vs_pystan
⭐
105
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
Toolbox
⭐
104
A Java Toolbox for Scalable Probabilistic Machine Learning
Rethinking Pyro
⭐
90
Statistical Rethinking with PyTorch and Pyro
Bayesian Cognitive Modeling In Pymc3
⭐
90
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
Da Tutorials
⭐
57
Course on data assimilation (DA)
Bayesianoptimization.jl
⭐
50
Bayesian optimization for Julia
Multiagent Rl
⭐
47
Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília
Bayesian Basics
⭐
46
🚫 ↩️ A document that introduces Bayesian data analysis.
Rss
⭐
38
Regression with Summary Statistics.
Pyautofit
⭐
36
Bayseg
⭐
35
An unsupervised machine learning algorithm for the segmentation of spatial data sets.
Bayesian Cyclegan
⭐
32
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling
Ouija
⭐
29
Descriptive probabilistic marker gene approach to single-cell pseudotime inference
Numcosmo
⭐
26
NumCosmo main code
Rethinking 2ed Julia
⭐
24
Port of Statistical Rethinking (2nd edition) code to Julia
Noa
⭐
24
Differentiable Programming Algorithms in Modern C++
Bayesiannonparametrics.jl
⭐
23
BayesianNonparametrics in julia
Datascience350
⭐
23
Notes for Data Science 350 Class
Rhat_ess
⭐
22
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
Wopr
⭐
22
An R package and Shiny application to provide API access to the WorldPop Open Population Repository (WOPR)
Logdensityproblems.jl
⭐
17
A common framework for implementing and using log densities for inference.
Multi_channel_bpr
⭐
17
Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels
Mcmcdiagnostics.jl
⭐
17
Markov Chain Monte Carlo convergence diagnostics in Julia
Deepbayes
⭐
16
Bayesian methods in deep learning Summer School
Inlautils
⭐
16
R package providing utilities for INLA
Odin Ai
⭐
15
Orgainzed Digital Intelligent Network (O.D.I.N)
19 Questions
⭐
13
A machine learning / bayesian inference engine assigning attributes to objects
Bayesian Methods For Machine Learning
⭐
13
Bayesian Methods for Machine Learning
Histogram Filter For Robot Localization
⭐
12
A python implementation of robot global localization in any 2 dimensional football field using histogram filter.
Crpclustering
⭐
12
CRPClustering: An R Package for Bayesian Nonparametric Chinese Restaurant Process Clustering with Entropy
Covid19
⭐
11
A set of "real-time" covid19 county-level dashboards w/ national and state choropleths for monitoring localized infection resurgences as distancing, testing and tracing measures evolve.
Docs
⭐
11
Documents that go into methodological detail regarding various statistical procedures.
Cdl Tutorials
⭐
11
Repo containing useful tutorials on different topics, methods, software tools, and packages used by the CDL
Pythonbrmltoolbox
⭐
10
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
Probabilisitc Pytorch
⭐
9
Deep Probabilistic Programming Examples in Pytorch using pyro
Rss Net
⭐
9
Regression with Summary Statistics exploiting Network Topology.
Bayesian Methods For Machine Learning
⭐
8
Bayesian Methods for Machine Learning
Bayesian Modeling
⭐
8
Case studies with Bayesian methods
Data Science Projects
⭐
8
{PySpark, R, Python}: Several Data Science projects
Epimargin
⭐
8
networked, stochastic SIRD epidemiological model with Bayesian parameter estimation and policy scenario comparison tools
Paramedic
⭐
7
Predicting Absolute and Relative Abundance by Modeling Efficiency to Derive Intervals and Concentrations
Barberbook
⭐
7
Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book
Bayesian Statistics Project
⭐
7
Project for the Bayesian Statistics exam at University of Trieste
Darc Experiments Matlab
⭐
7
Run delayed and risky choice (DARC) experiments using Bayesian Adaptive Design
Fightin Words
⭐
7
A scikit-learn compliant implementation of Monroe et al.'s Fightin' Words analysis method.
Project_ga
⭐
6
Isovector nucleon axial coupling
Rlda
⭐
6
Mbti Personality Classifier
⭐
6
A model which uses your social media posting predict your MBTI personality type.
Rpsmf
⭐
6
Code for Probabilistic Sequential Matrix Factorization
Bayesian With Python
⭐
6
프로그래머를 위한 베이지안 with 파이썬
Basicbayesdl
⭐
6
Basic Bayesian Deep Learning
Peuqse
⭐
5
Parameter estimation for complex physical problems often suffers from finding ‘solutions’ that are not physically realistic. The PEUQSE software provides tools for finding physically realistic parameter estimates, graphs of the parameter estimate positions within parameter space, and plots of the final simulation results.
Brdf_modelling
⭐
5
BRDF modelling using linear kernel models
Bayesct
⭐
5
Adaptive Bayesian Clinical Trial
Eece5644 Machine_learning
⭐
5
Graduate course on Machine Learning in Northeastern University
Concretedropout
⭐
5
Bayesian Methods for Machine Learing Course Project Skoltech 2018
Bayesvarsel
⭐
5
BayesVarSel: R package to calculate Bayes factors, model choice and variable selection in linear models
Bayesianml
⭐
5
Bayesian methods for machine learning course at CentraleSupélec
Bitcoinpricepredictor
⭐
5
Bitcoin price prediction algorithm using bayesian regression techniques
Papers
⭐
4
Personal list of articles
Rss Gsea
⭐
4
Full results to accompany Zhu and Stephens (2018).
Mcmc Algorithms
⭐
4
Raw files for a document providing a list of mcmc algorithm descriptions.
Fuzzy_dempster_shafer
⭐
4
A fuzzy machine learning algorithm utilizing Dempster-Shafer and Bayesian Theory
Bayesian Statistics Homeworks
⭐
4
Homeworks from the Bayesian Statistics course of accademic year 2018/2019 at University of Trieste
Bayesian Stock Price Prediction
⭐
4
An evaluation of stock price prediction algorithms using analyst ratings
Optimization_bayesian.jl
⭐
4
Bayesian optimization is a method of finding the maximum of expensive cost functions. Bayesian optimization employs the Bayesian technique of setting a prior over the objective function and combining it with evidence to get a posterior function. This permits a utility-based selection of the next observation to make on the objective function, which must take into account both exploration (sampling from areas of high uncertainty) and exploitation (sampling areas likely to offer improvement over the current best observation).
Bflib
⭐
4
Header-only Bayes Filters Library
Computational_stats_msc
⭐
4
This is a repo for graduate computational statistics problem sets and class information/data.
Eeg Bayesiancnn
⭐
4
This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.
Sample Efficient Bayesian Rl
⭐
4
Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL
Gp Sarsa
⭐
3
PyBrain Style Implementation of Gaussian Process SARSA Reinforcement Learning Agent. Originally discussed here
Conliga
⭐
3
Probabilistic inference of somatic copy number alterations using repeat DNA (FAST-SeqS)
Gpybcm
⭐
3
Bayesian Committee Machines in Python with GPy and multiprocessing
Paramontex
⭐
3
This is a repository for the ParaMonte library examples. For more information, visit:
Sda4d
⭐
3
R package SDA4D for performing 4-dimensional sparse Bayesian tensor decomposition
Breathteststan
⭐
3
This package contains the Stan-based fitting function for use with dmenne/breathtestcore. Stan functions are in a separate package for easier testing.
Thermostat Assisted Continuously Tempered Hamiltonian Monte Carlo For Bayesian Learning
⭐
3
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning
Adamcmcpaper
⭐
3
Algorithms and case studies for the paper "Accelerating delayed-acceptance Markov chain Monte Carlo algorithms".
Cbar
⭐
3
cbar: Contextual Bayesian Anomaly Detection in R
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Configuration Management
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Data Processing
📦 266
Data Storage
📦 132
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📦 60
Frameworks
📦 198
Games
📦 122
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📦 103
Hardware
📦 148
Integrated Development Environments
📦 47
Learning Resources
📦 147
Legal
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Libraries
📦 119
Lists Of Projects
📦 21
Machine Learning
📦 336
Mapping
📦 61
Marketing
📦 15
Mathematics
📦 55
Media
📦 228
Messaging
📦 97
Networking
📦 304
Operating Systems
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Operations
📦 120
Package Managers
📦 52
Programming Languages
📦 229
Runtime Environments
📦 96
Science
📦 42
Security
📦 375
Social Media
📦 26
Software Architecture
📦 70
Software Development
📦 68
Software Performance
📦 57
Software Quality
📦 127
Text Editors
📦 45
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📦 131
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📦 310
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📦 465
Version Control
📦 29
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📦 68
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📦 38
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📦 25
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📦 194
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