bayesian-inference

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-methods bayesian bayesian-inference stan bayesian-data-analysis bayesian-statistics

Updated Aug 30, 2022
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thu-ml / zhusuan

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A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

deep-learning probabilistic-programming graphical-models bayesian-inference generative-models

Updated Jan 9, 2020
Python

google / neural-tangents

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Fast and Easy Infinite Neural Networks in Python

kernel neural-networks gradient-descent bayesian-inference gaussian-processes bayesian-networks deep-networks gradient-flow jax infinite-networks training-dynamics neural-tangents kernel-computation

Updated Sep 12, 2022
Jupyter Notebook

quantumblacklabs / causalnex

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A Python library that helps data scientists to infer causation rather than observing correlation.

data-science machine-learning bayesian-inference bayesian-networks causal-inference causal-models causal-networks causalnex

Updated Sep 12, 2022
Python

TuringLang / Turing.jl

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Bayesian inference with probabilistic programming.

machine-learning julia-language artificial-intelligence probabilistic-programming bayesian-inference mcmc turing probabilistic-graphical-models hmc hamiltonian-monte-carlo bayesian-statistics probabilistic-models bayesian-neural-networks probabilistic-inference

Updated Sep 9, 2022
Julia

pymc-devs / pymc-resources

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PyMC educational resources

data-science data-analysis bayesian-inference bayesian-statistics

Updated Sep 11, 2022
Jupyter Notebook

pyro-ppl / numpyro

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Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

numpy probabilistic-programming bayesian-inference mcmc hmc pyro jax inference-algorithms

Updated Sep 12, 2022
Python

dotnet / infer

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Infer.NET is a framework for running Bayesian inference in graphical models

machine-learning bayesian-inference

Updated Sep 12, 2022
C#

JavierAntoran / Bayesian-Neural-Networks

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Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

deep-learning reproducible-research regression pytorch uncertainty classification uncertainty-neural-networks bayesian-inference mcmc variational-inference hmc bayesian-neural-networks langevin-dynamics approximate-inference local-reparametrization-trick kronecker-factored-approximation mc-dropout bayes-by-backprop out-of-distribution-detection sgld

Updated May 1, 2020
Jupyter Notebook

kumar-shridhar / PyTorch-BayesianCNN

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Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

python pytorch bayesian-network image-recognition convolutional-neural-networks bayesian-inference bayes bayesian-networks variational-inference bayesian-statistics bayesian-neural-networks variational-bayes bayesian-deep-learning pytorch-cnn bayesian-convnets bayes-by-backprop aleatoric-uncertainties

Updated Feb 5, 2021
Python

paul-buerkner / brms

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brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

multilevel-models bayesian-inference stan brms r-package statistical-models

Updated Sep 12, 2022
R

pptacher / probabilistic_robotics

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solution of exercises of the book "probabilistic robotics"

Updated Jul 22, 2020
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avehtari / BDA_py_demos

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Bayesian Data Analysis demos for Python

python bayesian bayesian-inference stan mcmc bayesian-data-analysis

Updated Dec 16, 2021
Jupyter Notebook

stan-dev / rstan

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RStan, the R interface to Stan

r bayesian-inference stan r-package mcmc bayesian-data-analysis bayesian-statistics

Updated Sep 5, 2022
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brylevkirill / notes

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Resources to learn more about Machine Learning and Artificial Intelligence

machine-learning natural-language-processing information-retrieval reinforcement-learning deep-learning artificial-intelligence knowledge-graph question-answering probabilistic-programming bayesian-inference recommender-systems causal-inference knowledge-representation reasoning

Updated Feb 8, 2022

bambinos / bambi

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BAyesian Model-Building Interface (Bambi) in Python.

python statistical-analysis bayesian-inference regression-models

Updated Sep 8, 2022
Python

FRBNY-DSGE / DSGE.jl

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Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

economics dynamical-systems bayesian-inference statistical-models dsge macroeconomics

Updated Aug 31, 2022
Julia

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