pymc-devs/pymc3: PyMC3 3.11.3 (19 August 2021)

Probabilistic programming (KI tutorial)

Kimmig, Angelika

January 2014

Probabilistic programming is an emerging subfield of AI that extends traditional programming languag...

pymc-devs/aesara:

Frédéric Bastien
Pascal Lamblin
abergeron
Ian Goodfellow
Razvan Pascanu
carriepl
Brandon T. Willard
notoraptor
David Warde-Farley
Roy Xue
James Bergstra
harlouci
Mohammed Affan
Ramana Subramanyam
Reyhane Askari
maqianlie
Suresh Pannerselvam
Alexander Belopolsky
Joseph Turian
ballasn
Gijs van Tulder
Simon Lefrancois
Amjad Almahairi
Hengjean
Nicolas Bouchard
khaotik
Caglar Gulcehre
Jeremiah Lowin
Alexander Matyasko
Jan Schlüter

May 2021

The following changes were made in this release: Explicitly add gcc DLL directory on Windows for Py...

pymc-devs/aesara:

Frédéric Bastien
Pascal Lamblin
abergeron
Ian Goodfellow
Razvan Pascanu
carriepl
Brandon T. Willard
notoraptor
David Warde-Farley
Roy Xue
James Bergstra
harlouci
Mohammed Affan
Ramana Subramanyam
Reyhane Askari
maqianlie
Suresh Pannerselvam
Alexander Belopolsky
Joseph Turian
ballasn
Gijs van Tulder
Simon Lefrancois
Amjad Almahairi
Hengjean
Nicolas Bouchard
khaotik
Caglar Gulcehre
Jeremiah Lowin
Alexander Matyasko
Jan Schlüter

May 2021

The following changes were made in this release: Explicitly add gcc DLL directory on Windows for Py...

pymc-devs/pymc3: PyMC3 3.11.4 (20 August 2021)

Thomas Wiecki
John Salvatier
Anand Patil
Maxim Kochurov
Bill Engels
Junpeng Lao
Colin
Osvaldo Martin
Brandon T. Willard
Adrian Seyboldt
Austin Rochford
Michael Osthege
rpgoldman
Kyle Meyer
Ricardo Vieira
Luciano Paz
Peadar Coyle
Marco Edward Gorelli
Taku Yoshioka
George Ho
Ravin Kumar
Thomas Kluyver
Kyle Beauchamp
Demetri Pananos
Eelke Spaak
Alexandre ANDORRA
Benjamin Edwards
Eric Ma
Oriol Abril-Pla
Luis Mario Domenzain

August 2021

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

pymc-devs/pymc3: PyMC3 3.11.3 (19 August 2021)

Thomas Wiecki
John Salvatier
Anand Patil
Maxim Kochurov
Bill Engels
Junpeng Lao
Colin
Osvaldo Martin
Brandon T. Willard
Adrian Seyboldt
Austin Rochford
Michael Osthege
rpgoldman
Kyle Meyer
Ricardo Vieira
Luciano Paz
Peadar Coyle
Marco Edward Gorelli
Taku Yoshioka
George Ho
Ravin Kumar
Thomas Kluyver
Kyle Beauchamp
Demetri Pananos
Eelke Spaak
Alexandre ANDORRA
Benjamin Edwards
Eric Ma
Oriol Abril-Pla

August 2021

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

Probabilistic programming in Python using PyMC3

John Salvatier
Thomas V. Wiecki
Christopher Fonnesbeck

April 2016

Probabilistic programming allows for automatic Bayesian inference on user-defined probabilistic mode...

Bayesian Analysis with pyhf

Malin Horstmann

May 2023

Python library for Bayesian analysis of binned statistical pyhf models using PyMC

PyMC: Bayesian Stochastic Modelling in Python

Patil, Anand
Huard, David
Fonnesbeck, Christopher J.

July 2010

This user guide describes a Python package, PyMC, that allows users to efficiently code a probabilis...

brmather/pycurious: v0.2 release

Ben Mather
rdelhaye

January 2019

Version 0.2 of PyCurious 0.2 introduces: Python 3 support Parallel routines based on Python's multi...

pymcmcstat: A Python Package for Bayesian Inference Using Delayed Rejection Adaptive Metropolis

Paul Miles

May 2019

Fixed bug #41. Updated how version attribute is defined in package and referenced in setup.py and d...

Bayesian methods for hackers: probabilistic programming and Bayesian inference

Davidson-Pilon, Cameron

January 2016

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions o...

A Python package for Bayesian estimation using Markov Chain Monte Carlo

Strickland, C.M.
Denham, R.J.
Alston, C.L.
Mengersen, K.L.

January 2013

Markov chain Monte Carlo (MCMC) estimation provides a solution to the complex integration problems t...

pyABC: Efficient and robust easy-to-use approximate Bayesian computation

Schälte, Yannik
Klinger, Emmanuel
Alamoudi, Emad
Hasenauer, Jan

June 2022

Supplementary code to pyABC: Efficient and robust easy-to-use approximate Bayesian computation, Schä...

Probabilistic programming (ECAI tutorial)

De Raedt, Luc
Kimmig, Angelika

January 2014

Probabilistic programming is an emerging subfield of AI that extends traditional programming languag...

Mastering probabilistic graphical models using Python

Ankan, Ankur
Panda, Abinash

January 2015

If you are a researcher or a machine learning enthusiast, or are working in the data science field a...

Probabilistic programming (KI tutorial)

Kimmig, Angelika

January 2014

Probabilistic programming is an emerging subfield of AI that extends traditional programming languag...

pymc-devs/aesara:

Frédéric Bastien
Pascal Lamblin
abergeron
Ian Goodfellow
Razvan Pascanu
carriepl
Brandon T. Willard
notoraptor
David Warde-Farley
Roy Xue
James Bergstra
harlouci
Mohammed Affan
Ramana Subramanyam
Reyhane Askari
maqianlie
Suresh Pannerselvam
Alexander Belopolsky
Joseph Turian
ballasn
Gijs van Tulder
Simon Lefrancois
Amjad Almahairi
Hengjean
Nicolas Bouchard
khaotik
Caglar Gulcehre
Jeremiah Lowin
Alexander Matyasko
Jan Schlüter

May 2021

The following changes were made in this release: Explicitly add gcc DLL directory on Windows for Py...

pymc-devs/aesara:

Frédéric Bastien
Pascal Lamblin
abergeron
Ian Goodfellow
Razvan Pascanu
carriepl
Brandon T. Willard
notoraptor
David Warde-Farley
Roy Xue
James Bergstra
harlouci
Mohammed Affan
Ramana Subramanyam
Reyhane Askari
maqianlie
Suresh Pannerselvam
Alexander Belopolsky
Joseph Turian
ballasn
Gijs van Tulder
Simon Lefrancois
Amjad Almahairi
Hengjean
Nicolas Bouchard
khaotik
Caglar Gulcehre
Jeremiah Lowin
Alexander Matyasko
Jan Schlüter

May 2021

The following changes were made in this release: Explicitly add gcc DLL directory on Windows for Py...

pymc-devs/pymc3: PyMC3 3.11.4 (20 August 2021)

Thomas Wiecki
John Salvatier
Anand Patil
Maxim Kochurov
Bill Engels
Junpeng Lao
Colin
Osvaldo Martin
Brandon T. Willard
Adrian Seyboldt
Austin Rochford
Michael Osthege
rpgoldman
Kyle Meyer
Ricardo Vieira
Luciano Paz
Peadar Coyle
Marco Edward Gorelli
Taku Yoshioka
George Ho
Ravin Kumar
Thomas Kluyver
Kyle Beauchamp
Demetri Pananos
Eelke Spaak
Alexandre ANDORRA
Benjamin Edwards
Eric Ma
Oriol Abril-Pla
Luis Mario Domenzain

August 2021

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

pymc-devs/pymc3: PyMC3 3.11.3 (19 August 2021)

Thomas Wiecki
John Salvatier
Anand Patil
Maxim Kochurov
Bill Engels
Junpeng Lao
Colin
Osvaldo Martin
Brandon T. Willard
Adrian Seyboldt
Austin Rochford
Michael Osthege
rpgoldman
Kyle Meyer
Ricardo Vieira
Luciano Paz
Peadar Coyle
Marco Edward Gorelli
Taku Yoshioka
George Ho
Ravin Kumar
Thomas Kluyver
Kyle Beauchamp
Demetri Pananos
Eelke Spaak
Alexandre ANDORRA
Benjamin Edwards
Eric Ma
Oriol Abril-Pla

August 2021

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

Probabilistic programming in Python using PyMC3

John Salvatier
Thomas V. Wiecki
Christopher Fonnesbeck

April 2016

Probabilistic programming allows for automatic Bayesian inference on user-defined probabilistic mode...

Bayesian Analysis with pyhf

Malin Horstmann

May 2023

Python library for Bayesian analysis of binned statistical pyhf models using PyMC

PyMC: Bayesian Stochastic Modelling in Python

Patil, Anand
Huard, David
Fonnesbeck, Christopher J.

July 2010

This user guide describes a Python package, PyMC, that allows users to efficiently code a probabilis...

brmather/pycurious: v0.2 release

Ben Mather
rdelhaye

January 2019

Version 0.2 of PyCurious 0.2 introduces: Python 3 support Parallel routines based on Python's multi...

pymcmcstat: A Python Package for Bayesian Inference Using Delayed Rejection Adaptive Metropolis

Paul Miles

May 2019

Fixed bug #41. Updated how version attribute is defined in package and referenced in setup.py and d...

Bayesian methods for hackers: probabilistic programming and Bayesian inference

Davidson-Pilon, Cameron

January 2016

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions o...

A Python package for Bayesian estimation using Markov Chain Monte Carlo

Strickland, C.M.
Denham, R.J.
Alston, C.L.
Mengersen, K.L.

January 2013

Markov chain Monte Carlo (MCMC) estimation provides a solution to the complex integration problems t...

pyABC: Efficient and robust easy-to-use approximate Bayesian computation

Schälte, Yannik
Klinger, Emmanuel
Alamoudi, Emad
Hasenauer, Jan

June 2022

Supplementary code to pyABC: Efficient and robust easy-to-use approximate Bayesian computation, Schä...

Probabilistic programming (ECAI tutorial)

De Raedt, Luc
Kimmig, Angelika

January 2014

Probabilistic programming is an emerging subfield of AI that extends traditional programming languag...

Mastering probabilistic graphical models using Python

Ankan, Ankur
Panda, Abinash

January 2015

If you are a researcher or a machine learning enthusiast, or are working in the data science field a...

Probabilistic programming (KI tutorial)

Kimmig, Angelika

January 2014

Probabilistic programming is an emerging subfield of AI that extends traditional programming languag...

pymc-devs/aesara:

Frédéric Bastien
Pascal Lamblin
abergeron
Ian Goodfellow
Razvan Pascanu
carriepl
Brandon T. Willard
notoraptor
David Warde-Farley
Roy Xue
James Bergstra
harlouci
Mohammed Affan
Ramana Subramanyam
Reyhane Askari
maqianlie
Suresh Pannerselvam
Alexander Belopolsky
Joseph Turian
ballasn
Gijs van Tulder
Simon Lefrancois
Amjad Almahairi
Hengjean
Nicolas Bouchard
khaotik
Caglar Gulcehre
Jeremiah Lowin
Alexander Matyasko
Jan Schlüter

May 2021

The following changes were made in this release: Explicitly add gcc DLL directory on Windows for Py...

pymc-devs/aesara:

Frédéric Bastien
Pascal Lamblin
abergeron
Ian Goodfellow
Razvan Pascanu
carriepl
Brandon T. Willard
notoraptor
David Warde-Farley
Roy Xue
James Bergstra
harlouci
Mohammed Affan
Ramana Subramanyam
Reyhane Askari
maqianlie
Suresh Pannerselvam
Alexander Belopolsky
Joseph Turian
ballasn
Gijs van Tulder
Simon Lefrancois
Amjad Almahairi
Hengjean
Nicolas Bouchard
khaotik
Caglar Gulcehre
Jeremiah Lowin
Alexander Matyasko
Jan Schlüter

May 2021

The following changes were made in this release: Explicitly add gcc DLL directory on Windows for Py...

pymc-devs/pymc3: PyMC3 3.11.3 (19 August 2021)

Abstract

Extracted data

pymc-devs/pymc3: PyMC3 3.11.3 (19 August 2021)

Abstract

Extracted data

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