bayesian-inference

There are 35 repositories under bayesian-inference topic.

ddbourgin / numpy-ml
Machine learning, in numpy
machine-learning neural-networks topic-modeling gaussian-mixture-models hidden-markov-models gradient-boosting bayesian-inference wavenet vae resnet lstm wgan-gp attention reinforcement-learning good-turing-smoothing knn mfcc gaussian-processes word2vec
Language:Python 14548
pyro
pyro-ppl / pyro
Deep universal probabilistic programming with Python and PyTorch
python pytorch machine-learning bayesian probabilistic-programming bayesian-inference variational-inference probabilistic-modeling deep-learning
Language:Python 8363
pymc-devs / pymc
Bayesian Modeling and Probabilistic Programming in Python
python statistical-analysis bayesian-inference mcmc variational-inference probabilistic-programming pytensor
Language:Python 8155
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.
stan bayesian-inference bayesian bayesian-methods bayesian-statistics bayesian-data-analysis
Language:C++ 2520
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
Language:Jupyter Notebook 2220
thu-ml / zhusuan
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
bayesian-inference probabilistic-programming graphical-models generative-models deep-learning
Language:Python 2198
causalnex
mckinsey / causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
causal-inference causal-models causal-networks bayesian-networks bayesian-inference machine-learning data-science causalnex
Language:Python 2141
pyro-ppl / numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
pyro jax hmc inference-algorithms numpy bayesian-inference probabilistic-programming mcmc
Language:Python 2039
TuringLang / Turing.jl
Bayesian inference with probabilistic programming.
machine-learning probabilistic-programming julia-language artificial-intelligence bayesian-inference hamiltonian-monte-carlo turing bayesian-statistics mcmc hmc probabilistic-graphical-models probabilistic-models probabilistic-inference bayesian-neural-networks
Language:Julia 1964
pymc-devs / pymc-resources
PyMC educational resources
bayesian-inference bayesian-statistics data-science data-analysis
Language:Jupyter Notebook 1881
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 bayesian-inference pytorch reproducible-research bayesian-neural-networks bayes-by-backprop mc-dropout mcmc variational-inference kronecker-factored-approximation langevin-dynamics approximate-inference local-reparametrization-trick uncertainty uncertainty-neural-networks out-of-distribution-detection classification regression sgld hmc
Language:Jupyter Notebook 1742
dotnet / infer
Infer.NET is a framework for running Bayesian inference in graphical models
machine-learning bayesian-inference
Language:C# 1536
kumar-shridhar / PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
convolutional-neural-networks bayesian-network bayesian-convnets bayes-by-backprop pytorch python pytorch-cnn bayesian-neural-networks bayesian-deep-learning bayesian-inference bayesian-statistics image-recognition aleatoric-uncertainties bayes bayesian-networks variational-inference variational-bayes
Language:Python 1353
janosh / awesome-normalizing-flows
Awesome resources on normalizing flows.
autoregressive awesome-list bayesian-inference bayesian-neural-networks density-estimation generative-modeling machine-learning normalizing-flows variational-inference
Language:Python 1299
paul-buerkner / brms
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
brms stan bayesian-inference multilevel-models statistical-models r-package
Language:R 1231
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
Language:C++ 1202
bambinos / bambi
BAyesian Model-Building Interface (Bambi) in Python.
bayesian-inference python regression-models statistical-analysis
Language:Python 1011
stan-dev / rstan
RStan, the R interface to Stan
stan mcmc bayesian-inference bayesian-data-analysis bayesian-statistics r r-package
Language:R 1008
avehtari / BDA_py_demos
Bayesian Data Analysis demos for Python
python bayesian-data-analysis bayesian-inference bayesian mcmc stan
Language:Jupyter Notebook 973
brylevkirill / notes
Learn about Machine Learning and Artificial Intelligence
artificial-intelligence machine-learning deep-learning reinforcement-learning bayesian-inference probabilistic-programming knowledge-representation reasoning causal-inference knowledge-graph question-answering natural-language-processing information-retrieval recommender-systems
902
fortuna
awslabs / fortuna
A Library for Uncertainty Quantification.
deep-learning neural-networks uncertainty uncertainty-estimation uncertainty-quantification bayesian-inference calibration conformal-prediction model-calibration uncertainty-calibration flax jax ai machine-learning ml
Language:Python 851
FRBNY-DSGE / DSGE.jl
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
economics macroeconomics dsge bayesian-inference statistical-models dynamical-systems
Language:Julia 842
blackjax-devs / blackjax
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
probabilistic-programming bayesian-inference sampling-methods hamiltonian-monte-carlo
Language:Python 723
JWarmenhoven / DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
bayesian-data-analysis bayesian-inference pymc3 mcmc hierarchical-models kruschke probabilistic-programming
Language:Jupyter Notebook 667
ericmjl / bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
pymc bayesian bayesian-data-science bayesian-inference bayesian-statistics bayesian-data-analysis
Language:Jupyter Notebook 651
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
Language:Jupyter Notebook 551
avehtari / BDA_R_demos
Bayesian Data Analysis demos for R
bayesian-data-analysis r bayesian-inference bayesian mcmc stan monte-carlo
Language:HTML 549
dawenl / vae_cf
Variational autoencoders for collaborative filtering
recommender-systems collaborative-filtering variational-autoencoder bayesian-inference
Language:Jupyter Notebook 524
sbi-dev / sbi
Simulation-based inference toolkit
simulation-based-inference likelihood-free-inference bayesian-inference parameter-estimation pytorch machine-learning
Language:Python 521
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
Language:Python 451
erdogant / bnlearn
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
bayesian-inference structure-learning sampling-methods dag directed-acyclic-graph parameter-learning causal-models causality-analysis causal-networks causal machine-learning python
Language:Jupyter Notebook 441
cscherrer / Soss.jl
Probabilistic programming via source rewriting
julia julia-language julia-library probabilistic-programming bayesian-inference bayesian-statistics metaprogramming
Language:Julia 409
GPJax
JaxGaussianProcesses / GPJax
Gaussian processes in JAX.
gaussian-processes jax probabilistic-programming bayesian-inference machine-learning
Language:Python 387
ASKurz / Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse
The bookdown version lives here: https://bookdown.org/content/3890
bayesian-inference brms tidyverse rethinking regression
Language:HTML 384
JuliaMath / MeasureTheory.jl
"Distributions" that might not add to one.
julia probabilistic-programming bayesian-inference probability statistics machine-learning
Language:Julia 382
nchopin / particles
Sequential Monte Carlo in python
particle-filter sequential-monte-carlo bayesian-inference pmcmc smc2 quasi-monte-carlo kalman-filter
Language:Python 372