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bayesian-inference

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ddbourgin /numpy-ml

Machine learning, in numpy

machine-learning reinforcement-learning word2vec lstm neural-networks gaussian-mixture-models vae topic-modeling attention resnet bayesian-inference wavenet mfcc knn gaussian-processes hidden-markov-models gradient-boosting wgan-gp good-turing-smoothing

UpdatedOct 29, 2023
Python

pymc-devs /pymc

Bayesian Modeling and Probabilistic Programming in Python

python statistical-analysis probabilistic-programming bayesian-inference mcmc variational-inference pytensor

UpdatedNov 4, 2025
Python

pyro

pyro-ppl /pyro

Deep universal probabilistic programming with Python and PyTorch

python machine-learning deep-learning pytorch probabilistic-programming bayesian bayesian-inference variational-inference probabilistic-modeling

UpdatedJul 9, 2025
Python

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

UpdatedOct 28, 2025
C++

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 use the link in the readme to join our open source AI research team.

reinforcement-learning unity mcp physics quantum wolfram-alpha proof-assistant cosmology astrophysics lean photon bayesian-inference reproducibility agora fastapi openxr lean4 ready-player-me xri vr-office

UpdatedNov 2, 2025
TypeScript

pyro-ppl /numpyro

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

UpdatedNov 1, 2025
Python

causalnex

mckinsey /causalnex

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

UpdatedJun 26, 2024
Python

google /neural-tangents

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

UpdatedMar 1, 2024
Jupyter Notebook

avehtari /BDA_course_Aalto

Bayesian Data Analysis course at Aalto

bayesian-methods bayesian bayesian-inference bayes bayesian-data-analysis bayesian-workflow

UpdatedNov 3, 2025
TeX

thu-ml /zhusuan

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

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

UpdatedDec 17, 2022
Python

TuringLang /Turing.jl

Bayesian inference with probabilistic programming.

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

UpdatedNov 5, 2025
Julia

pymc-devs /pymc-resources

PyMC educational resources

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

UpdatedDec 23, 2024
Jupyter Notebook

JavierAntoran /Bayesian-Neural-Networks

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

UpdatedOct 20, 2023
Jupyter Notebook

dotnet /infer

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

machine-learning bayesian-inference

UpdatedAug 6, 2025
C#

janosh /awesome-normalizing-flows

Awesome resources on normalizing flows.

machine-learning awesome-list bayesian-inference autoregressive variational-inference density-estimation normalizing-flows bayesian-neural-networks generative-modeling

UpdatedJul 7, 2025
Python

kumar-shridhar /PyTorch-BayesianCNN

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

UpdatedApr 19, 2024
Python

paul-buerkner /brms

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

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

UpdatedOct 31, 2025
R

pptacher /probabilistic_robotics

solution of exercises of the book "probabilistic robotics"

cpp robotics navigation julia numpy matlab particle-filter bayesian-inference lapack slam google-cloud-platform autonomous-vehicles seif kalman-filter probabilistic-robotics armadillo-library fastslam intel-mkl-library victoria-park-dataset textbook-solutions

UpdatedMay 18, 2023
C++

bambinos /bambi

BAyesian Model-Building Interface (Bambi) in Python.

python statistical-analysis bayesian-inference regression-models bayesian-statistics statistical-modeling

UpdatedOct 24, 2025
Python

pbdl-book

tum-pbs /pbdl-book

Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition

machine-learning deep-learning artificial-intelligence bayesian-inference fluids numerical-simulations probabilistic-models spatio-temporal-prediction pde-solvers

UpdatedAug 12, 2025
Jupyter Notebook

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