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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
12,199 commits to main branch, last one 11 days 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
16,852 commits to develop branch, last one 8 days ago
Bayesian Data Analysis course at Aalto
Created
2018-09-07
1,663 commits to master branch, last one 17 days 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 5 months ago
Notebooks about Bayesian methods for machine learning
Created
2018-03-19
136 commits to dev branch, last one 9 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 2 months ago
A simple probabilistic programming language.
Created
2019-08-07
453 commits to main branch, last one 3 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 5 months ago
Data Assimilation with Python: a Package for Experimental Research
Created
2016-07-04
1,717 commits to master branch, last one about a month 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This repository has been archived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 about a year ago
Probabilistic Inference on Noisy Time Series
Created
2017-05-16
3,957 commits to main branch, last one 2 days 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
5,009 commits to devel branch, last one a day ago
Probabilistic Programming and Nested sampling in JAX
Created
2020-07-31
868 commits to main branch, last one 14 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
1,263 commits to master branch, last one 25 days ago
Tutorials on data assimilation (DA) and the EnKF
Created
2019-06-26
511 commits to master branch, last one about a month ago
Differentiable Programming Algorithms in Modern C++
Created
2020-09-16
1,205 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
2,463 commits to master branch, last one 26 days ago
A Java Toolbox for Scalable Probabilistic Machine Learning
Created
2014-04-01
7,910 commits to master branch, last one 4 years ago
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
Created
2016-12-29
5,236 commits to master branch, last one 2 days ago
A collection of awesome mathematics and computer science courses
Created
2024-10-24
13 commits to main branch, last one 20 hours ago