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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 ;)
Created
2013-01-14
1,119 commits to master branch, last one about a year ago
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Created
2016-02-10
1,796 commits to master branch, last one 6 years ago
Probabilistic reasoning and statistical analysis in TensorFlow
Created
2017-10-23
12,191 commits to main branch, last one a day ago
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.
Created
2013-02-06
16,820 commits to develop branch, last one 2 days ago
Bayesian Data Analysis course at Aalto
Created
2018-09-07
1,651 commits to master branch, last one a day ago
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Created
2020-01-07
927 commits to dev branch, last one 4 months ago
Notebooks about Bayesian methods for machine learning
Created
2018-03-19
136 commits to dev branch, last one 8 months ago
High-quality implementations of standard and SOTA methods on a variety of tasks.
Created
2020-07-16
1,165 commits to main branch, last one about a month ago
A simple probabilistic programming language.
Created
2019-08-07
451 commits to main branch, last one 26 days ago
A collection of Bayesian data analysis recipes using PyMC3
Created
2017-03-05
121 commits to master branch, last one 3 years ago
rstanarm R package for Bayesian applied regression modeling
Created
2013-07-16
3,301 commits to master branch, last one 4 months ago
Data Assimilation with Python: a Package for Experimental Research
Created
2016-07-04
1,717 commits to master branch, last one 16 days ago
🚂 Python API for Emma's Markov Model Algorithms 🚂
This repository has been archived
(exclude archived)
Created
2014-10-07
6,921 commits to devel branch, last one about a year ago
🐢 bayesAB: Fast Bayesian Methods for A/B Testing
Created
2015-01-31
320 commits to master branch, last one 3 years ago
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Created
2017-06-08
374 commits to master branch, last one 11 months ago
Probabilistic Inference on Noisy Time Series
Created
2017-05-16
3,928 commits to main branch, last one 3 months ago
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Created
2019-10-10
53 commits to master branch, last one 2 years ago
shinystan R package and ShinyStan GUI
Created
2015-02-25
892 commits to master branch, last one 2 years ago
A Python package for building Bayesian models with TensorFlow or PyTorch
Created
2019-01-05
565 commits to master branch, last one 3 years ago
The base NIMBLE package for R
Created
2014-06-12
4,966 commits to devel branch, last one 8 days ago
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
Created
2018-06-27
2,275 commits to master branch, last one about a year ago
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Created
2015-06-14
1,261 commits to master branch, last one about a month ago
Probabilistic Programming and Nested sampling in JAX
Created
2020-07-31
854 commits to main branch, last one 7 days ago
Tutorials on data assimilation (DA) and the EnKF
Created
2019-06-26
511 commits to master branch, last one 17 days ago
Differentiable Programming Algorithms in Modern C++
Created
2020-09-16
1,202 commits to master branch, last one a day ago
Port of Statistical Rethinking (2nd edition) code to Julia
Created
2021-08-03
196 commits to main branch, last one 2 years ago
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
modular
sensing
scalable
array-api
python-hpc
matrix-free
python-library
array-computing
computer-vision
inverse-problem
sparse-learning
bayesian-methods
image-processing
machine-learning
foundation-models
image-enhancement
image-restoration
image-reconstruction
computational-imaging
artificial-intelligence
Created
2020-07-06
2,459 commits to master branch, last one 3 months ago
A Java Toolbox for Scalable Probabilistic Machine Learning
Created
2014-04-01
7,910 commits to master branch, last one 3 years ago
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
Created
2016-12-29
5,232 commits to master branch, last one 24 days ago
A collection of awesome mathematics and computer science courses
Created
2024-10-24
12 commits to main branch, last one 16 days ago