Projects in Awesome Lists tagged with bayesian-inference
A curated list of projects in awesome lists tagged with bayesian-inference .
https://github.com/ddbourgin/numpy-ml
Machine learning, in numpy
attention bayesian-inference gaussian-mixture-models gaussian-processes good-turing-smoothing gradient-boosting hidden-markov-models knn lstm machine-learning mfcc neural-networks reinforcement-learning resnet topic-modeling vae wavenet wgan-gp word2vec
Last synced: 12 May 2025
https://github.com/pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
bayesian-inference mcmc probabilistic-programming pytensor python statistical-analysis variational-inference
Last synced: 21 Feb 2026
https://github.com/pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
bayesian bayesian-inference deep-learning machine-learning probabilistic-modeling probabilistic-programming python pytorch variational-inference
Last synced: 12 May 2025
https://github.com/sahibzada-allahyar/YC-Killer
A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you are excited about democratizing AI access & AI agents, please star ⭐️ this repository and apply using the link in the readme to join our open source AI research team.
agora astrophysics bayesian-inference cosmology fastapi lean lean4 mcp openxr photon physics proof-assistant quantum ready-player-me reinforcement-learning reproducibility unity vr-office wolfram-alpha xri
Last synced: 04 Jun 2026
https://github.com/stan-dev/stan
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.
bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics stan
Last synced: 06 Jan 2026
https://github.com/pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
bayesian-inference hmc inference-algorithms jax mcmc numpy probabilistic-programming pyro
Last synced: 14 May 2025
https://github.com/quantumblacklabs/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
bayesian-inference bayesian-networks causal-inference causal-models causal-networks causalnex data-science machine-learning
Last synced: 09 Jan 2026
https://github.com/google/neural-tangents
Fast and Easy Infinite Neural Networks in Python
bayesian-inference bayesian-networks deep-networks gaussian-processes gradient-descent gradient-flow infinite-networks jax kernel kernel-computation neural-networks neural-tangents training-dynamics
Last synced: 14 May 2025
https://github.com/mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
bayesian-inference bayesian-networks causal-inference causal-models causal-networks causalnex data-science machine-learning
Last synced: 12 Dec 2025
https://github.com/avehtari/bda_course_aalto
Bayesian Data Analysis course at Aalto
bayes bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-workflow
Last synced: 15 Feb 2026
https://github.com/turinglang/turing.jl
Bayesian inference with probabilistic programming.
artificial-intelligence bayesian-inference bayesian-neural-networks bayesian-statistics hamiltonian-monte-carlo hmc julia-language machine-learning mcmc probabilistic-graphical-models probabilistic-inference probabilistic-models probabilistic-programming turing
Last synced: 29 Apr 2026
https://github.com/thu-ml/zhusuan
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
bayesian-inference deep-learning generative-models graphical-models probabilistic-programming
Last synced: 15 May 2025
https://avehtari.github.io/BDA_course_Aalto/
Bayesian Data Analysis course at Aalto
bayes bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-workflow
Last synced: 04 May 2025
https://github.com/avehtari/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
bayes bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-workflow
Last synced: 26 Apr 2025
https://github.com/TuringLang/Turing.jl
Bayesian inference with probabilistic programming.
artificial-intelligence bayesian-inference bayesian-neural-networks bayesian-statistics hacktoberfest hamiltonian-monte-carlo hmc julia-language machine-learning mcmc probabilistic-graphical-models probabilistic-inference probabilistic-models probabilistic-programming turing
Last synced: 15 Mar 2025
https://github.com/pymc-devs/pymc-resources
PyMC educational resources
bayesian-inference bayesian-statistics data-analysis data-science
Last synced: 14 May 2025
https://github.com/javierantoran/bayesian-neural-networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
approximate-inference bayes-by-backprop bayesian-inference bayesian-neural-networks classification deep-learning hmc kronecker-factored-approximation langevin-dynamics local-reparametrization-trick mc-dropout mcmc out-of-distribution-detection pytorch regression reproducible-research sgld uncertainty uncertainty-neural-networks variational-inference
Last synced: 15 May 2025
https://github.com/JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
approximate-inference bayes-by-backprop bayesian-inference bayesian-neural-networks classification deep-learning hmc kronecker-factored-approximation langevin-dynamics local-reparametrization-trick mc-dropout mcmc out-of-distribution-detection pytorch regression reproducible-research sgld uncertainty uncertainty-neural-networks variational-inference
Last synced: 01 May 2025
https://github.com/dotnet/infer
Infer.NET is a framework for running Bayesian inference in graphical models
bayesian-inference machine-learning
Last synced: 13 May 2025
https://dotnet.github.io/infer/
Infer.NET is a framework for running Bayesian inference in graphical models
bayesian-inference machine-learning
Last synced: 02 Apr 2025
https://github.com/kumar-shridhar/pytorch-bayesiancnn
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
aleatoric-uncertainties bayes bayes-by-backprop bayesian-convnets bayesian-deep-learning bayesian-inference bayesian-network bayesian-networks bayesian-neural-networks bayesian-statistics convolutional-neural-networks image-recognition python pytorch pytorch-cnn variational-bayes variational-inference
Last synced: 15 May 2025
https://github.com/kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
aleatoric-uncertainties bayes bayes-by-backprop bayesian-convnets bayesian-deep-learning bayesian-inference bayesian-network bayesian-networks bayesian-neural-networks bayesian-statistics convolutional-neural-networks image-recognition python pytorch pytorch-cnn variational-bayes variational-inference
Last synced: 26 Mar 2025
https://github.com/paul-buerkner/brms
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
bayesian-inference brms multilevel-models r-package stan statistical-models
Last synced: 14 May 2025
https://github.com/pptacher/probabilistic_robotics
solution of exercises of the book "probabilistic robotics"
armadillo-library autonomous-vehicles bayesian-inference cpp fastslam google-cloud-platform intel-mkl-library julia kalman-filter lapack matlab navigation numpy particle-filter probabilistic-robotics robotics seif slam textbook-solutions victoria-park-dataset
Last synced: 16 May 2025
https://paulbuerkner.com/brms/
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
bayesian-inference brms multilevel-models r-package stan statistical-models
Last synced: 10 Jul 2025
https://github.com/bambinos/bambi
BAyesian Model-Building Interface (Bambi) in Python.
bayesian-inference bayesian-statistics python regression-models statistical-analysis statistical-modeling
Last synced: 13 May 2025
https://github.com/tum-pbs/pbdl-book
Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
artificial-intelligence bayesian-inference deep-learning fluids machine-learning numerical-simulations pde-solvers probabilistic-models spatio-temporal-prediction
Last synced: 14 May 2025
https://github.com/stan-dev/rstan
RStan, the R interface to Stan
bayesian-data-analysis bayesian-inference bayesian-statistics mcmc r r-package stan
Last synced: 11 Apr 2025
https://github.com/avehtari/bda_py_demos
Bayesian Data Analysis demos for Python
bayesian bayesian-data-analysis bayesian-inference mcmc python stan
Last synced: 16 May 2025
https://github.com/avehtari/BDA_py_demos
Bayesian Data Analysis demos for Python
bayesian bayesian-data-analysis bayesian-inference mcmc python stan
Last synced: 19 Jul 2025
https://github.com/brylevkirill/notes
Learn about Machine Learning and Artificial Intelligence
artificial-intelligence bayesian-inference causal-inference deep-learning information-retrieval knowledge-graph knowledge-representation machine-learning natural-language-processing probabilistic-programming question-answering reasoning recommender-systems reinforcement-learning
Last synced: 27 Mar 2025
https://github.com/awslabs/fortuna
A Library for Uncertainty Quantification.
ai bayesian-inference calibration conformal-prediction deep-learning flax jax machine-learning ml model-calibration neural-networks uncertainty uncertainty-calibration uncertainty-estimation uncertainty-quantification
Last synced: 27 Mar 2025
https://github.com/blackjax-devs/blackjax
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
bayesian-inference hamiltonian-monte-carlo probabilistic-programming sampling-methods
Last synced: 21 Oct 2025
https://github.com/JWarmenhoven/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
bayesian-data-analysis bayesian-inference hierarchical-models kruschke mcmc probabilistic-programming pymc3
Last synced: 14 Mar 2025
https://github.com/jwarmenhoven/dbda-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
bayesian-data-analysis bayesian-inference hierarchical-models kruschke mcmc probabilistic-programming pymc3
Last synced: 04 Apr 2025
https://github.com/ericmjl/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
bayesian bayesian-data-analysis bayesian-data-science bayesian-inference bayesian-statistics pymc
Last synced: 04 Apr 2025
https://github.com/mackelab/sbi
sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.
bayesian-inference likelihood-free-inference machine-learning parameter-estimation pytorch simulation-based-inference
Last synced: 05 Apr 2025
https://github.com/IntelLabs/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
bayesian-deep-learning bayesian-inference bayesian-layers bayesian-neural-networks deep-learning deep-neural-networks pytorch stochastic-variational-inference uncertainty-estimation uncertainty-neural-networks uncertainty-quantification
Last synced: 09 Oct 2025
https://github.com/sbi-dev/sbi
Simulation-based inference toolkit
bayesian-inference likelihood-free-inference machine-learning parameter-estimation pytorch simulation-based-inference
Last synced: 15 Jul 2025
https://github.com/intellabs/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
bayesian-deep-learning bayesian-inference bayesian-layers bayesian-neural-networks deep-learning deep-neural-networks pytorch stochastic-variational-inference uncertainty-estimation uncertainty-neural-networks uncertainty-quantification
Last synced: 14 May 2025
https://github.com/avehtari/bda_r_demos
Bayesian Data Analysis demos for R
bayesian bayesian-data-analysis bayesian-inference mcmc monte-carlo r stan
Last synced: 14 Apr 2025
https://github.com/avehtari/BDA_R_demos
Bayesian Data Analysis demos for R
bayesian bayesian-data-analysis bayesian-inference mcmc monte-carlo r stan
Last synced: 14 Mar 2025
https://github.com/ericmjl/bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
bayesian bayesian-analysis bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics neural-networks notebook treatment-groups
Last synced: 04 Apr 2025
https://github.com/dawenl/vae_cf
Variational autoencoders for collaborative filtering
bayesian-inference collaborative-filtering recommender-systems variational-autoencoder
Last synced: 24 Dec 2025
https://github.com/erdogant/bnlearn
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
bayesian-inference causal causal-models causal-networks causality-analysis dag directed-acyclic-graph machine-learning parameter-learning python sampling-methods structure-learning
Last synced: 14 May 2025
https://github.com/JaxGaussianProcesses/GPJax
Gaussian processes in JAX and Flax.
bayesian-inference gaussian-processes jax machine-learning probabilistic-programming
Last synced: 01 May 2025
https://github.com/pymc-devs/pytensor
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
ai bayesian-inference computational-science deep-learning statistics
Last synced: 01 Mar 2026
https://github.com/cscherrer/soss.jl
Probabilistic programming via source rewriting
bayesian-inference bayesian-statistics julia julia-language julia-library metaprogramming probabilistic-programming
Last synced: 04 Apr 2025
https://github.com/cscherrer/Soss.jl
Probabilistic programming via source rewriting
bayesian-inference bayesian-statistics julia julia-language julia-library metaprogramming probabilistic-programming
Last synced: 04 May 2025
https://github.com/nchopin/particles
Sequential Monte Carlo in python
bayesian-inference kalman-filter particle-filter pmcmc quasi-monte-carlo sequential-monte-carlo smc2
Last synced: 04 May 2025
https://github.com/ASKurz/Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse
The bookdown version lives here: https://bookdown.org/content/3890
bayesian-inference brms regression rethinking tidyverse
Last synced: 15 Mar 2025
https://github.com/stan-dev/rstanarm
rstanarm R package for Bayesian applied regression modeling
bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics multilevel-models r r-package rstan rstanarm stan statistical-modeling
Last synced: 04 Apr 2025
https://github.com/JuliaMath/MeasureTheory.jl
"Distributions" that might not add to one.
bayesian-inference julia machine-learning probabilistic-programming probability statistics
Last synced: 29 Mar 2025
https://github.com/wiseodd/mcmc
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
bayesian-inference machine-learning markov-chain-monte-carlo mcmc sampling-methods
Last synced: 07 Apr 2025
https://github.com/wiseodd/MCMC
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
bayesian-inference machine-learning markov-chain-monte-carlo mcmc sampling-methods
Last synced: 01 May 2025
https://github.com/uncomplicate/bayadera
High-performance Bayesian Data Analysis on the GPU in Clojure
bayesian bayesian-data-analysis bayesian-inference clojure clojure-library cuda gpu gpu-acceleration gpu-computing high-performance-computing machine-learning markov-chain-monte-carlo mcmc opencl statistics
Last synced: 09 Apr 2025
https://github.com/stefanradev93/BayesFlow
A Python library for amortized Bayesian workflows using generative neural networks.
amortized-inference bayesian-inference deep-learning invertible-networks likelihood-free model-comparison parameter-estimation simulation-based uncertainty-quantification
Last synced: 05 Mar 2025
https://github.com/ctallec/pyvarinf
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
bayesian-inference deep-learning
Last synced: 22 Apr 2026
https://github.com/joshspeagle/dynesty
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
bayesian-inference mit-license model-selection monte-carlo nested-sampling pure-python
Last synced: 04 May 2025
https://github.com/juliagaussianprocesses/stheno.jl
Probabilistic Programming with Gaussian processes in Julia
approximate-inference bayesian-inference gaussian-processes machine-learning probabilistic-programming
Last synced: 12 Oct 2025
https://github.com/JuliaGaussianProcesses/Stheno.jl
Probabilistic Programming with Gaussian processes in Julia
approximate-inference bayesian-inference gaussian-processes machine-learning probabilistic-programming
Last synced: 04 May 2025
https://github.com/indrajeetpatil/statsexpressions
Tidy data frames and expressions with statistical summaries 📜
bayesian-inference bayesian-statistics contingency-table correlation effectsize meta-analysis parametric robust robust-statistics statistical-details statistical-tests tidy
Last synced: 15 May 2025
https://github.com/IndrajeetPatil/statsExpressions
Tidy data frames and expressions with statistical summaries 📜
bayesian-inference bayesian-statistics contingency-table correlation effectsize meta-analysis parametric robust robust-statistics statistical-details statistical-tests tidy
Last synced: 13 Jul 2025
https://github.com/elfi-dev/elfi
ELFI - Engine for Likelihood-Free Inference
bayesian bayesian-inference inference likelihood-free python simulator statistics
Last synced: 23 Feb 2026
https://github.com/ksachdeva/rethinking-tensorflow-probability
Statistical Rethinking (2nd Ed) with Tensorflow Probability
bayesian-inference bayesian-statistics markov-chain-monte-carlo statistical-rethinking tensorflow tensorflow-probability tutorials variational-inference
Last synced: 10 Apr 2025
https://github.com/msuzen/looper
A resource list for causality in statistics, data science and physics
bayesian-inference causal causal-discovery causal-impact causal-inference causal-machine-learning causal-models causal-networks causality causality-algorithms causality-analysis causation data-science machine-learning meta-learning physics statistical-inference statistical-mechanics statistical-physics statistics
Last synced: 25 Dec 2025
https://github.com/kumar-shridhar/master-thesis-bayesiancnn
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
bayesian-deep-learning bayesian-inference bayesian-neural-networks convolutional-neural-networks generative-adversarial-network super-resolution
Last synced: 03 Apr 2025
https://github.com/turinglang/bijectors.jl
Implementation of normalising flows and constrained random variable transformations
bayesian-inference mcmc-sampler transforms turing-language
Last synced: 05 Apr 2026
https://nbisweden.github.io/MrBayes/
MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. For documentation and downloading the program, please see the home page:
bayesian-inference bioinformatics markov-chain-monte-carlo phylogenetics research-tool
Last synced: 19 Nov 2025
https://github.com/tpapp/dynamichmc.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
bayesian bayesian-inference bayesian-methods bayesian-statistics hamiltonian-monte-carlo hybrid-monte-carlo julia julia-language
Last synced: 02 Jan 2026
https://github.com/tpapp/DynamicHMC.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
bayesian bayesian-inference bayesian-methods bayesian-statistics hamiltonian-monte-carlo hybrid-monte-carlo julia julia-language
Last synced: 04 May 2025
https://github.com/cdslaborg/paramonte
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
adaptive-learning bayesian-inference bayesian-statistics c cpp fortran machine-learning machine-learning-algorithms machine-learning-library markov-chain matlab mcmc monte-carlo monte-carlo-simulations mpi numerical-integration openmp python sampling
Last synced: 04 Apr 2025
https://github.com/wiseodd/probabilistic-models
Collection of probabilistic models and inference algorithms
bayesian bayesian-inference dirichlet-process gibbs-sampling machine-learning mcmc probabilistic-models python variational-inference
Last synced: 13 Apr 2025
https://github.com/nbisweden/mrbayes
MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. For documentation and downloading the program, please see the home page:
bayesian-inference bioinformatics markov-chain-monte-carlo phylogenetics research-tool
Last synced: 15 May 2025
https://github.com/TuringLang/Bijectors.jl
Implementation of normalising flows and constrained random variable transformations
bayesian-inference hacktoberfest mcmc-sampler transforms turing-language
Last synced: 27 Mar 2025
https://github.com/minaskar/zeus
⚡️ zeus: Lightning Fast MCMC ⚡️
bayesian-inference black-box-bayesian-inference general-purpose inference machine-learning mcmc mcmc-sampler probabilistic-data-analysis python sampling sampling-methods
Last synced: 04 Apr 2025
https://github.com/translationalneuromodeling/tapas
TAPAS - Translational Algorithms for Psychiatry-Advancing Science
bayesian-inference behavioral computational eeg fmri hierarchical-models neurology neuroscience psychiatry psychosomatics statistical-learning
Last synced: 01 May 2025
https://github.com/exoplanet-dev/exoplanet
Fast & scalable MCMC for all your exoplanet needs!
astronomy astrophysics bayesian-inference exoplanet exoplanet-radial-velocities exoplanet-transits exoplanets gaussian-processes mcmc pymc3 time-series time-series-analysis
Last synced: 21 Oct 2025
https://github.com/bat/BAT.jl
A Bayesian Analysis Toolkit in Julia
bayesian-inference bayesian-statistics julia machine-learning mcmc posterior prior statistics
Last synced: 18 Jan 2026
https://github.com/acerbilab/vbmc
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
bayesian-inference data-analysis gaussian-processes machine-learning matlab variational-inference
Last synced: 09 Apr 2025
https://github.com/ziatdinovmax/gpax
Gaussian Processes for Experimental Sciences
active-learning bayesian-inference bayesian-neural-networks bayesian-optimization deep-kernel-learning gaussian-processes hypothesis-learning machine-learning multi-fidelity-learning
Last synced: 15 May 2025
https://github.com/probcomp/pclean
A domain-specific probabilistic programming language for scalable Bayesian data cleaning
bayesian-inference data-cleaning data-cleansing probabilistic-graphical-models probabilistic-programming
Last synced: 08 May 2025
https://github.com/mirceamironenco/BayesianRecurrentNN
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
bayesian-inference deep-learning machine-learning
Last synced: 19 Jul 2025
https://github.com/probcomp/PClean
A domain-specific probabilistic programming language for scalable Bayesian data cleaning
bayesian-inference data-cleaning data-cleansing probabilistic-graphical-models probabilistic-programming
Last synced: 04 May 2025
https://github.com/bat/bat.jl
A Bayesian Analysis Toolkit in Julia
bayesian-inference bayesian-statistics julia machine-learning mcmc posterior prior statistics
Last synced: 08 Apr 2025
https://github.com/robi56/survival-analysis-using-deep-learning
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
bayesian-inference cancer-research deep-learning gaussian-processes healthcare machine-learning survival-analysis time-series time-to-event
Last synced: 17 Feb 2026
https://github.com/stan-dev/shinystan
shinystan R package and ShinyStan GUI
bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics mcmc r r-package shiny-apps stan statistical-graphics
Last synced: 10 Apr 2025
https://github.com/nimble-dev/nimble
The base NIMBLE package for R
bayesian-inference bayesian-methods hierarchical-models mcmc probabilistic-programming r
Last synced: 02 Apr 2026
https://github.com/pyautolabs/pyautolens
PyAutoLens: Open-Source Strong Gravitational Lensing
astronomy astrophysics bayesian-inference cosmology galaxy gravitational-lensing python
Last synced: 01 May 2026
https://github.com/jeff-regier/Celeste.jl
Scalable inference for a generative model of astronomical images
astronomical-catalogs astronomical-images astronomy bayesian-inference graphical-models variational-inference
Last synced: 01 May 2025
https://github.com/junpenglao/glmm-in-python
Generalized linear mixed-effect model in Python
bayesian-inference glmm linear-mixed-models pymc3 statistics
Last synced: 20 Feb 2026
https://github.com/junpenglao/GLMM-in-Python
Generalized linear mixed-effect model in Python
bayesian-inference glmm linear-mixed-models pymc3 statistics
Last synced: 01 May 2025
https://github.com/hao-lh/the-books-making-you-better
A list of time-lasting classic books, which not only help you figure out how it works, but also grasp when it works and why it works in that way.
bayesian-inference computer-architecture computer-vision deep-learning high-performance-computing linear-algebra machine-learning probabilistic-graphical-models reinforcement-learning statistical-learning
Last synced: 15 Apr 2025
https://github.com/brendanhasz/probflow
A Python package for building Bayesian models with TensorFlow or PyTorch
bayesian bayesian-inference bayesian-methods bayesian-neural-networks bayesian-statistics data-science machine-learning python pytorch statistics tensorflow
Last synced: 07 Apr 2025
https://github.com/slimgroup/invertiblenetworks.jl
A Julia framework for invertible neural networks
bayesian-inference deep-invertible-networks deep-learning invertible-1x1-convolutions invertible-neural-networks julia julia-language machine-learning normalizing-flow normalizing-flows
Last synced: 12 Apr 2025
https://github.com/fehiepsi/rethinking-pyro
Statistical Rethinking with PyTorch and Pyro
bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics
Last synced: 14 Apr 2025
https://github.com/slimgroup/InvertibleNetworks.jl
A Julia framework for invertible neural networks
bayesian-inference deep-invertible-networks deep-learning invertible-1x1-convolutions invertible-neural-networks julia julia-language machine-learning normalizing-flow normalizing-flows
Last synced: 27 Mar 2025
https://github.com/christophmark/bayesloop
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
anomaly-detection bayesian-inference model-selection probabilistic-programming time-series-analysis
Last synced: 06 Apr 2025
https://github.com/google-deepmind/pgmax
Loopy belief propagation for factor graphs on discrete variables in JAX
bayesian-inference belief-propagation jax python
Last synced: 17 Oct 2025
https://github.com/stan-dev/loo
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
bayes bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics cross-validation information-criterion model-comparison r-package stan
Last synced: 04 Apr 2025