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344 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
Jun 25, 2024
Jupyter Notebook
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Updated
Mar 18, 2024
Jupyter Notebook
Probabilistic reasoning and statistical analysis in TensorFlow
Updated
Aug 16, 2024
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.
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Updated
Jul 10, 2024
Python
Notebooks about Bayesian methods for machine learning
Updated
Mar 6, 2024
Jupyter Notebook
High-quality implementations of standard and SOTA methods on a variety of tasks.
Updated
May 20, 2024
Python
A simple probabilistic programming language.
Updated
Jul 29, 2024
Jupyter Notebook
A collection of Bayesian data analysis recipes using PyMC3
Updated
Oct 9, 2023
Jupyter Notebook
rstanarm R package for Bayesian applied regression modeling
Data Assimilation with Python: a Package for Experimental Research
Updated
Aug 15, 2024
Python
🐢 bayesAB: Fast Bayesian Methods for A/B Testing
🚂 Python API for Emma's Markov Model Algorithms 🚂
Updated
Sep 11, 2023
Python
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Updated
Nov 30, 2023
Julia
Probabilistic Inference on Noisy Time Series
Updated
Jul 30, 2024
Python
shinystan R package and ShinyStan GUI
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Updated
Jan 19, 2022
Python
A Python package for building Bayesian models with TensorFlow or PyTorch
Updated
Aug 10, 2022
Python
Statistical Rethinking with PyTorch and Pyro
Updated
Oct 27, 2019
Jupyter Notebook
The base NIMBLE package for R
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