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Search results for bayesian methods
bayesian-methods
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116 search results found
Probabilistic Programming And Bayesian Methods For Hackers
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26,097
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
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4,503
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Probability
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4,028
Probabilistic reasoning and statistical analysis in TensorFlow
Stan
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2,484
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.
Orbit
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1,776
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Bayesian Machine Learning
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1,587
Notebooks about Bayesian methods for machine learning
Uncertainty Baselines
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1,324
High-quality implementations of standard and SOTA methods on a variety of tasks.
Edward2
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656
A simple probabilistic programming language.
Bayesian Analysis Recipes
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510
A collection of Bayesian data analysis recipes using PyMC3
Rstanarm
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371
rstanarm R package for Bayesian applied regression modeling
Dapper
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306
Data Assimilation with Python: a Package for Experimental Research
Pyemma
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292
🚂 Python API for Emma's Markov Model Algorithms 🚂
Bayesab
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278
🐢 bayesAB: Fast Bayesian Methods for A/B Testing
Dynamichmc.jl
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235
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Pints
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200
Probabilistic Inference on Noisy Time Series
Shinystan
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181
shinystan R package and ShinyStan GUI
Nimble
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142
The base NIMBLE package for R
Deep Kernel Transfer
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142
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Loo
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140
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Forneylab.jl
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134
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
Noa
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121
Differentiable Programming Algorithms in Modern C++
Statrethink_course_in_pymc3
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119
Statistical Rethinking course in pymc3
Bvar_
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119
Empirical macro toolbox
Awesome Open Science
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114
some links to projects/tools related to "open science".
Da Tutorials
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112
Tutorials on data assimilation (DA) and the EnKF
Probflow
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108
A Python package for building Bayesian models with TensorFlow or PyTorch
Pymc3_vs_pystan
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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
Toolbox
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104
A Java Toolbox for Scalable Probabilistic Machine Learning
Mooc Coursera Advanced Machine Learning
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103
Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).
Birch
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101
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
Bayesian Methods For Ml
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99
Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
Pyxu
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98
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
Rethinking Pyro
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90
Statistical Rethinking with PyTorch and Pyro
Bayesian Cognitive Modeling In Pymc3
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90
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
Bayesian_benchmarks
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85
A community repository for benchmarking Bayesian methods
Bayesianoptimization.jl
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84
Bayesian optimization for Julia
Chi_course_2019
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67
ACM SIGCHI 2019 Course on Bayesian Methods for Interaction
Hyperbo
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66
Pre-trained Gaussian processes for Bayesian optimization
Bayesianastronomy
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66
Bayesian Methods in Astronomy workshop, presented at AAS227
Notebooks
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65
Programming Exercises
Bayesdataanalysiswithpymc
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64
Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
Bayesian Basics
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61
🚫 ↩️ A document that introduces Bayesian data analysis.
Pyautofit
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54
PyAutoFit: Classy Probabilistic Programming
Mbti Personality Classifier
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51
A model which uses your social media posting predict your MBTI personality type.
Pybpl
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47
Python implementation of Bayesian Program Learning tools (with PyTorch)
Multiagent Rl
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47
Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília
Rss
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44
Regression with Summary Statistics.
Priorsense
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44
priorsense: an R package for prior diagnostics and sensitivity
Numcosmo
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37
NumCosmo main code
Bayseg
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35
An unsupervised machine learning algorithm for the segmentation of spatial data sets.
Logdensityproblems.jl
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34
A common framework for implementing and using log densities for inference.
Bayesian Statistics Econometrics
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34
Bayesian Statistics-Econometrics
Bayesian Cyclegan
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32
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling
Wopr
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30
An R package and Shiny application to provide API access to the WorldPop Open Population Repository (WOPR)
Ouija
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29
Descriptive probabilistic marker gene approach to single-cell pseudotime inference
Deep Learning Channel Estimation
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27
Simulation code for “Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning,” by Özlem Tugfe Demir, Emil Björnson, IEEE Open Journal of the Communications Society, To appear.
Variational Bayes Book
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26
Open access book on variational Bayesian methods written collaboratively
Easy Factor Graph
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24
General purpose C++ library for managing discrete factor graphs
Bayesiannonparametrics.jl
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23
BayesianNonparametrics in julia
Mcmcdiagnostics.jl
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22
Markov Chain Monte Carlo convergence diagnostics in Julia
Inlautils
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22
R package providing utilities for INLA
Rhat_ess
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22
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
Active Bayesian Causal Inference
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21
Active Bayesian Causal Inference (Neurips'22)
Machine_learning_resources
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20
Machine learning resources (Jupyter notebooks mostly). Originally code to complement the "EECE 5644: Introduction to Machine Learning and Pattern Recognition" course taught at Northeastern University.
Multi_channel_bpr
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17
Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels
Probabilistic Programming And Bayesian Methods For Hackers
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17
Clone of book Probabilistic Programming and Bayesian Methods for Hackers by CamDavidsonPilon
Rss Net
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15
Regression with Summary Statistics exploiting Network Topology.
Odin Ai
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15
Orgainzed Digital Intelligent Network (O.D.I.N)
19 Questions
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15
A machine learning / bayesian inference engine assigning attributes to objects
Fuzzy Dempster Shafer
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15
A fuzzy machine learning algorithm utilizing Dempster-Shafer and Bayesian Theory
Thunderbayesr
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15
An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.
Sample Efficient Bayesian Rl
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13
Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL
Paramedic
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12
Predicting Absolute and Relative Abundance by Modeling Efficiency to Derive Intervals and Concentrations
Peuqse
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12
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.
Histogram Filter For Robot Localization
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12
A python implementation of robot global localization in any 2 dimensional football field using histogram filter.
Autonomous_mobile_robots
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12
Cdl Tutorials
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11
Repo containing useful tutorials on different topics, methods, software tools, and packages used by the CDL
Probability Calibration Imbalanced
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11
This repository implements Pozzolo, et al., (2015)'s probability calibration for imbalanced data.
Docs
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11
Documents that go into methodological detail regarding various statistical procedures.
Computationalstatistics
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10
Awesome Interpretable Ml
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10
A curated list for interpretable machine learning
Covid19
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10
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.
Pythonbrmltoolbox
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10
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
Sta250cmb.jl
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10
Graduate topics course on statistics and the cosmic microwave background
Pyladies Bayesian Tutorial
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10
Material for the PyLadies Bayesian Tutorial, Feb 11, 2020
Banrinochoujou
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9
これは 万里の長城 です〜
Bayesian Modeling
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9
Case studies with Bayesian methods
Serofoi
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8
Estimates the Force-of-Infection of a given pathogen from population based sero-prevalence studies
Data Science Projects
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8
{PySpark, R, Python}: Several Data Science projects
Bayesian Methods For Machine Learning
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8
Bayesian Methods for Machine Learning
Bayesvarsel
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7
BayesVarSel: R package to calculate Bayes factors, model choice and variable selection in linear models
Epimargin
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7
networked, stochastic SIRD epidemiological model with Bayesian parameter estimation and policy scenario comparison tools
Mcx Infer
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7
[Experimental] Bayesian machine learning with MCX.
Abayes
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7
Simulate Bayesian A/B testing algorithms and evaluate the results of A/B tests with a shiny app.
Darc Experiments Matlab
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7
Run delayed and risky choice (DARC) experiments using Bayesian Adaptive Design
Bayesian Statistics Project
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7
Project for the Bayesian Statistics exam at University of Trieste
Fightin Words
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7
A scikit-learn compliant implementation of Monroe et al.'s Fightin' Words analysis method.
Rlda
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6
Project_ga
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6
Isovector nucleon axial coupling
Probabilistic Programming Packages
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6
Trying out different probabilistic programming packages on the same statistical model
1-100 of 116 search results
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