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205 public repositories
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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 ;)
Updated
Apr 12, 2020
Jupyter Notebook
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Updated
Oct 22, 2019
Jupyter Notebook
Probabilistic reasoning and statistical analysis in TensorFlow
Updated
Jul 24, 2020
Jupyter Notebook
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.
Updated
Jul 25, 2020
Stan
Notebooks about Bayesian methods for machine learning
Updated
May 31, 2020
Jupyter Notebook
A collection of Bayesian data analysis recipes using PyMC3
Updated
Jul 25, 2020
Jupyter Notebook
A simple probabilistic programming language.
Updated
Jul 23, 2020
Jupyter Notebook
🐢 bayesAB: Fast Bayesian Methods for A/B Testing
rstanarm R package for Bayesian applied regression modeling
🚂 Python API for Emma's Markov Model Algorithms 🚂
Updated
Apr 27, 2020
Python
shinystan R package and ShinyStan GUI
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Updated
Jun 27, 2020
Julia
Data Assimilation with Python: a Package for Experimental Research (DAPPER)
Updated
Mar 5, 2020
Python
Updated
May 22, 2016
Jupyter Notebook
Statistical Rethinking with PyTorch and Pyro
Updated
Oct 27, 2019
Jupyter Notebook
A Java Toolbox for Scalable Probabilistic Machine Learning
Updated
Nov 12, 2018
Java
Probabilistic Inference on Noisy Time Series
Updated
Jul 23, 2020
Python
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
Updated
Nov 13, 2017
Jupyter Notebook
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
The base NIMBLE package for R
Statistical Rethinking course in pymc3
Updated
May 24, 2020
Jupyter Notebook
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
Updated
Jul 24, 2020
Julia
Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília
Updated
Sep 30, 2018
Python
Official pytorch implementation of the paper "Deep Kernel Transfer in Gaussian Processes for Few-shot Learning"
Updated
Feb 19, 2020
Python
🚫 ↩️ A document that introduces Bayesian data analysis.
Bayesian optimization for Julia
Updated
Jun 1, 2020
Julia
Regression with Summary Statistics.
Updated
Jun 25, 2020
MATLAB
An unsupervised machine learning algorithm for the segmentation of spatial data sets.
Updated
Nov 21, 2019
Jupyter Notebook
Bayesian CycleGAN via Marginalizing Latent Sampling
Updated
Dec 20, 2018
Python
Descriptive probabilistic marker gene approach to single-cell pseudotime inference
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