bayesian-methods

There are 31 repositories under bayesian-methods topic.

CamDavidsonPilon / Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
bayesian-methods pymc mathematical-analysis jupyter-notebook data-science statistics
Language:Jupyter Notebook 26404
blei-lab / edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow
Language:Jupyter Notebook 4819
tensorflow / probability
Probabilistic reasoning and statistical analysis in TensorFlow
bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow
Language:Jupyter Notebook 4138
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
Language:C++ 2524
orbit
uber / orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
python forecasting bayesian exponential-smoothing pyro stan pystan probabilistic-programming probabilistic forecast orbit time-series regression arima changepoint bayesian-methods bayesian-statistics machine-learning regression-models pytorch
Language:Python 1808
krasserm / bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
machine-learning bayesian-methods bayesian-machine-learning gaussian-processes bayesian-optimization variational-autoencoder
Language:Jupyter Notebook 1753
google / uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow
Language:Python 1372
google / edward2
A simple probabilistic programming language.
bayesian-methods deep-learning machine-learning data-science tensorflow neural-networks statistics probabilistic-programming
Language:Jupyter Notebook 669
ericmjl / bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
bayesian-inference bayesian bayesian-statistics bayesian-data-analysis bayesian-analysis bayesian-methods notebook treatment-groups neural-networks
Language:Jupyter Notebook 552
stan-dev / rstanarm
rstanarm R package for Bayesian applied regression modeling
stan multilevel-models r-package bayesian bayesian-inference bayesian-methods bayesian-statistics bayesian-data-analysis statistical-modeling r rstan rstanarm
Language:R 374
DAPPER
nansencenter / DAPPER
Data Assimilation with Python: a Package for Experimental Research
data-assimilation enkf kalman-filtering state-estimation particle-filter kalman bayesian-methods bayesian-filter chaos
Language:Python 330
FrankPortman / bayesAB
🐢 bayesAB: Fast Bayesian Methods for A/B Testing
r bayesian-methods bayesian-tests ab-testing cran
Language:R 306
markovmodel / PyEMMA
🚂 Python API for Emma's Markov Model Algorithms 🚂
python hidden-markov-model molecular-dynamics analysis markov-state-model tica time-series hmm bayesian-methods markov-model mbar kinetic-modeling umbrella-sampling molecular-modeling
Language:Python 304
tpapp / DynamicHMC.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
julia-language hybrid-monte-carlo bayesian-inference bayesian-methods bayesian hamiltonian-monte-carlo julia bayesian-statistics
Language:Julia 240
pints-team / pints
Probabilistic Inference on Noisy Time Series
bayesian-methods inverse-problems parameter-estimation numerical-optimization
Language:Python 211
stan-dev / shinystan
shinystan R package and ShinyStan GUI
stan mcmc r-package statistical-graphics shiny-apps r bayesian bayesian-statistics bayesian-inference bayesian-data-analysis bayesian-methods
Language:R 195
BayesWatch / deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
gaussian-processes few-shot-learning bayesian-methods deep-learning deep-kernel-learning one-shot-learning kernel-methods classification regression gpytorch kernel shot-learning uncertainty-quantification uncertainty paper meta-learning kernels
Language:Python 192
brendanhasz / probflow
A Python package for building Bayesian models with TensorFlow or PyTorch
machine-learning data-science python tensorflow statistics bayesian-inference bayesian-statistics bayesian-methods bayesian-neural-networks pytorch bayesian
Language:Python 166
fehiepsi / rethinking-pyro
Statistical Rethinking with PyTorch and Pyro
bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics
Language:Jupyter Notebook 159
nimble-dev / nimble
The base NIMBLE package for R
bayesian-inference mcmc hierarchical-models probabilistic-programming bayesian-methods r
Language:C++ 148
biaslab / ForneyLab.jl
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
bayesian-methods machine-learning factor-graph probabilistic-graphical-models probabilistic-programming state-space-models
Language:Julia 147
stan-dev / loo
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics cross-validation information-criterion model-comparison r-package stan
Language:R 147
statrethink_course_in_pymc3
gbosquechacon / statrethink_course_in_pymc3
Statistical Rethinking course in pymc3
statistics bayesian-inference bayesian bayesian-methods machine-learning
Language:Jupyter Notebook 143
nansencenter / DA-tutorials
Tutorials on data assimilation (DA) and the EnKF
data-assimilation enkf kalman-filtering state-estimation bayesian-methods chaos
Language:Python 128
jonsedar / pymc3_vs_pystan
Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg
pymc3 pystan bayesian-inference bayesian-methods hierarchical-models
Language:Jupyter Notebook 127
noa
grinisrit / noa
Differentiable Programming Algorithms in Modern C++
algorithmic-trading game-development deep-learning bayesian-methods simulation streaming-analytics particle-physics cpp17 optimization optimisation-algorithms differentiable-programming
Language:C++ 126
amidst / toolbox
A Java Toolbox for Scalable Probabilistic Machine Learning
data-science machine-learning bayesian-methods bayesian-networks streaming-data latent-variable-models graphical-models
Language:Java 118
Shmuma / rethinking-2ed-julia
Port of Statistical Rethinking (2nd edition) code to Julia
julia bayesian-methods statistics
Language:Jupyter Notebook 115
pyxu
pyxu-org / pyxu
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
bayesian-methods computational-imaging computer-vision foundation-models image-enhancement image-processing image-reconstruction image-restoration inverse-problem python-library sensing artificial-intelligence machine-learning matrix-free modular scalable sparse-learning python-hpc array-api array-computing
Language:Python 109
lawmurray / Birch
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
autodiff machine-learning-algorithms machine-learning-projects monte-carlo-methods monte-carlo-sampling probabilistic-programming-languages bayesian bayesian-inference bayesian-methods bayesian-statistics data-science machine-learning statistics
Language:C++ 107
junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
pymc3 bayesian-inference bayesian-methods data-science data-analysis statistics
Language:Jupyter Notebook 97
jbrea / BayesianOptimization.jl
Bayesian optimization for Julia
machine-learning optimization bayesian-methods bayesian-optimization gaussian-processes julia
Language:Julia 88
m-clark / bayesian-basics
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
bayesian-inference bayesian-methods stan rstan r bayesian-statistics bayesian mcmc hamiltonian-monte-carlo gibbs posterior-probability prior likelihood metropolis-hastings posterior-predictive regression-models bayesian-analysis bayesian-data-analysis brms rstanarm
Language:Stan 83
rohinarora / EECE5644-Machine_Learning
Graduate course on Machine Learning
machine-learning northeastern-university northeastern machinelearning machine-learning-algorithms deep-learning deeplearning machine-learning-tutorials machine-learning-courses bayesian-methods
Language:Jupyter Notebook 82
Bayesian-Statistics-Econometrics
weijie-chen / Bayesian-Statistics-Econometrics
Bayesian Statistics-Econometrics
bayesian-inference bayesian-methods bayesian-statistics econometrics statistics
Language:Jupyter Notebook 75
google-research / hyperbo
Pre-trained Gaussian processes for Bayesian optimization
bayesian-methods bayesian-optimization deep-learning hyperparameter-tuning machine-learning
Language:Python 71