38 results found Sort:

CamDavidsonPilon
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers CamDavidsonPilon
7.8k
26.4k
mit
1.4k
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 ;)
pymc statistics data-science bayesian-methods jupyter-notebook mathematical-analysis
Created 2013-01-14
1,119 commits to master branch, last one about a year ago
blei-lab
edward blei-lab
761
4.8k
other
273
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
statistics tensorflow data-science deep-learning neural-networks bayesian-methods machine-learning probabilistic-programming
Created 2016-02-10
1,796 commits to master branch, last one 5 years ago
tensorflow
probability tensorflow
1.1k
4.1k
apache-2.0
165
Probabilistic reasoning and statistical analysis in TensorFlow
statistics tensorflow data-science deep-learning neural-networks bayesian-methods machine-learning probabilistic-programming
Created 2017-10-23
12,140 commits to main branch, last one 7 days ago
stan-dev
stan stan-dev
367
2.5k
bsd-3-clause
121
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 bayesian-methods bayesian-inference bayesian-statistics bayesian-data-analysis
Created 2013-02-06
16,665 commits to develop branch, last one 7 days ago
uber
orbit uber
134
1.8k
other
34
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
pyro stan arima orbit pystan python pytorch bayesian forecast regression changepoint forecasting time-series probabilistic bayesian-methods machine-learning regression-models bayesian-statistics exponential-smoothing probabilistic-programming
Created 2020-01-07
918 commits to dev branch, last one 2 months ago
krasserm
bayesian-machine-learning krasserm
455
1.8k
apache-2.0
75
Notebooks about Bayesian methods for machine learning
bayesian-methods machine-learning gaussian-processes bayesian-optimization variational-autoencoder bayesian-machine-learning
Created 2018-03-19
136 commits to dev branch, last one 2 months ago
google
uncertainty-baselines google
198
1.4k
apache-2.0
21
High-quality implementations of standard and SOTA methods on a variety of tasks.
statistics tensorflow data-science deep-learning neural-networks bayesian-methods machine-learning probabilistic-programming
Created 2020-07-16
1,163 commits to main branch, last one 11 days ago
google
edward2 google
74
670
apache-2.0
19
A simple probabilistic programming language.
statistics tensorflow data-science deep-learning neural-networks bayesian-methods machine-learning probabilistic-programming
Created 2019-08-07
446 commits to main branch, last one 16 days ago
ericmjl
bayesian-analysis-recipes ericmjl
110
552
mit
21
A collection of Bayesian data analysis recipes using PyMC3
bayesian notebook neural-networks bayesian-methods treatment-groups bayesian-analysis bayesian-inference bayesian-statistics bayesian-data-analysis
Created 2017-03-05
121 commits to master branch, last one 3 years ago
stan-dev
rstanarm stan-dev
133
374
gpl-3.0
43
rstanarm R package for Bayesian applied regression modeling
r stan rstan bayesian rstanarm r-package bayesian-methods multilevel-models bayesian-inference bayesian-statistics statistical-modeling bayesian-data-analysis
Created 2013-07-16
3,299 commits to master branch, last one about a month ago
nansencenter
DAPPER nansencenter
119
332
mit
27
Data Assimilation with Python: a Package for Experimental Research
enkf chaos kalman bayesian-filter particle-filter bayesian-methods kalman-filtering state-estimation data-assimilation
Created 2016-07-04
1,639 commits to master branch, last one 2 months ago
FrankPortman
bayesAB FrankPortman
42
307
other
21
🐢 bayesAB: Fast Bayesian Methods for A/B Testing
r cran ab-testing bayesian-tests bayesian-methods
Created 2015-01-31
320 commits to master branch, last one 2 years ago
markovmodel
PyEMMA markovmodel
118
304
lgpl-3.0
31
🚂 Python API for Emma's Markov Model Algorithms 🚂
hmm mbar tica python analysis time-series markov-model bayesian-methods kinetic-modeling umbrella-sampling markov-state-model molecular-dynamics molecular-modeling hidden-markov-model
This repository has been archived (exclude archived)
Created 2014-10-07
6,921 commits to devel branch, last one 8 months ago
tpapp
DynamicHMC.jl tpapp
21
241
other
18
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
julia bayesian julia-language bayesian-methods bayesian-inference hybrid-monte-carlo bayesian-statistics hamiltonian-monte-carlo
Created 2017-06-08
374 commits to master branch, last one 6 months ago
pints-team
pints pints-team
32
213
other
12
Probabilistic Inference on Noisy Time Series
bayesian-methods inverse-problems parameter-estimation numerical-optimization
Created 2017-05-16
3,913 commits to main branch, last one about a month ago
stan-dev
shinystan stan-dev
51
196
gpl-3.0
33
shinystan R package and ShinyStan GUI
r mcmc stan bayesian r-package shiny-apps bayesian-methods bayesian-inference bayesian-statistics statistical-graphics bayesian-data-analysis
Created 2015-02-25
892 commits to master branch, last one about a year ago
BayesWatch
deep-kernel-transfer BayesWatch
29
193
unknown
14
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
paper kernel kernels gpytorch regression uncertainty deep-learning meta-learning shot-learning classification kernel-methods bayesian-methods few-shot-learning one-shot-learning gaussian-processes deep-kernel-learning uncertainty-quantification
Created 2019-10-10
53 commits to master branch, last one 2 years ago
brendanhasz
probflow brendanhasz
17
166
mit
4
A Python package for building Bayesian models with TensorFlow or PyTorch
python pytorch bayesian statistics tensorflow data-science bayesian-methods machine-learning bayesian-inference bayesian-statistics bayesian-neural-networks
Created 2019-01-05
565 commits to master branch, last one 2 years ago
nimble-dev
nimble nimble-dev
21
149
bsd-3-clause
19
The base NIMBLE package for R
r mcmc bayesian-methods bayesian-inference hierarchical-models probabilistic-programming
Created 2014-06-12
4,873 commits to devel branch, last one a day ago
biaslab
ForneyLab.jl biaslab
35
148
mit
15
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
factor-graph bayesian-methods machine-learning state-space-models probabilistic-programming probabilistic-graphical-models
Created 2018-06-27
2,275 commits to master branch, last one about a year ago
stan-dev
loo stan-dev
34
147
other
19
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
stan bayesian r-package bayesian-methods cross-validation model-comparison bayesian-inference bayesian-statistics information-criterion bayesian-data-analysis
Created 2015-06-14
1,247 commits to master branch, last one 11 days ago
Joshuaalbert
jaxns Joshuaalbert
8
130
other
5
Probabilistic Programming and Nested sampling in JAX
jax nested-sampling bayesian-methods model-comparison bayesian-computing scientific-computing probabilistic-programming scientific-machine-learning
Created 2020-07-31
719 commits to main branch, last one 4 days ago
nansencenter
DA-tutorials nansencenter
49
129
mit
9
Tutorials on data assimilation (DA) and the EnKF
enkf chaos bayesian-methods kalman-filtering state-estimation data-assimilation
Created 2019-06-26
505 commits to master branch, last one 3 months ago
grinisrit
noa grinisrit
26
126
other
4
Differentiable Programming Algorithms in Modern C++
cpp17 simulation optimization deep-learning bayesian-methods game-development particle-physics algorithmic-trading streaming-analytics optimisation-algorithms differentiable-programming
Created 2020-09-16
905 commits to master branch, last one 3 months ago
amidst
toolbox amidst
35
118
apache-2.0
22
A Java Toolbox for Scalable Probabilistic Machine Learning
data-science streaming-data bayesian-methods graphical-models machine-learning bayesian-networks latent-variable-models
Created 2014-04-01
7,910 commits to master branch, last one 3 years ago
Shmuma
rethinking-2ed-julia Shmuma
18
118
mit
8
Port of Statistical Rethinking (2nd edition) code to Julia
julia statistics bayesian-methods
Created 2021-08-03
196 commits to main branch, last one 2 years ago
pyxu-org
pyxu pyxu-org
15
112
mit
5
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
modular sensing scalable array-api python-hpc matrix-free python-library array-computing computer-vision inverse-problem sparse-learning bayesian-methods image-processing machine-learning foundation-models image-enhancement image-restoration image-reconstruction computational-imaging artificial-intelligence
Created 2020-07-06
2,447 commits to master branch, last one about a month ago
lawmurray
Birch lawmurray
14
107
apache-2.0
14
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
autodiff bayesian statistics data-science bayesian-methods machine-learning bayesian-inference bayesian-statistics monte-carlo-methods monte-carlo-sampling machine-learning-projects machine-learning-algorithms probabilistic-programming-languages
Created 2016-12-29
5,215 commits to master branch, last one 8 months ago
jbrea
BayesianOptimization.jl jbrea
15
89
other
8
Bayesian optimization for Julia
julia optimization bayesian-methods machine-learning gaussian-processes bayesian-optimization
Created 2018-10-12
79 commits to master branch, last one about a year ago
m-clark
bayesian-basics m-clark
26
83
cc0-1.0
6
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
r brms mcmc stan gibbs prior rstan bayesian rstanarm likelihood bayesian-methods bayesian-analysis regression-models bayesian-inference bayesian-statistics metropolis-hastings posterior-predictive posterior-probability bayesian-data-analysis hamiltonian-monte-carlo
Created 2016-12-10
69 commits to master branch, last one 2 years ago