158 results found Sort:

ddbourgin
numpy-ml ddbourgin
3.7k
15.5k
gpl-3.0
457
Machine learning, in numpy
knn vae lstm mfcc resnet wavenet wgan-gp word2vec attention topic-modeling neural-networks machine-learning gradient-boosting bayesian-inference gaussian-processes hidden-markov-models good-turing-smoothing reinforcement-learning gaussian-mixture-models
Created 2019-04-06
348 commits to master branch, last one 2 years ago
pymc-devs
pymc pymc-devs
2.0k
8.7k
other
226
Bayesian Modeling and Probabilistic Programming in Python
mcmc python pytensor bayesian-inference statistical-analysis variational-inference probabilistic-programming
Created 2009-05-05
10,118 commits to main branch, last one 23 hours ago
pyro-ppl
pyro pyro-ppl
986
8.6k
apache-2.0
200
Deep universal probabilistic programming with Python and PyTorch
python pytorch bayesian deep-learning machine-learning bayesian-inference variational-inference probabilistic-modeling probabilistic-programming
Created 2017-06-16
2,496 commits to dev branch, last one 18 days ago
stan-dev
stan stan-dev
370
2.6k
bsd-3-clause
122
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
16,820 commits to develop branch, last one 2 days ago
pyro-ppl
numpyro pyro-ppl
245
2.3k
apache-2.0
53
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
hmc jax mcmc pyro numpy bayesian-inference inference-algorithms probabilistic-programming
Created 2019-02-13
1,239 commits to master branch, last one 23 hours ago
google
neural-tangents google
226
2.3k
apache-2.0
62
Fast and Easy Infinite Neural Networks in Python
jax kernel deep-networks gradient-flow neural-networks neural-tangents gradient-descent bayesian-networks infinite-networks training-dynamics bayesian-inference gaussian-processes kernel-computation
Created 2019-04-08
650 commits to main branch, last one 8 months ago
mckinsey
causalnex mckinsey
258
2.2k
other
51
A Python library that helps data scientists to infer causation rather than observing correlation.
causalnex data-science causal-models causal-networks causal-inference machine-learning bayesian-networks bayesian-inference
Created 2019-12-12
226 commits to develop branch, last one 9 months ago
thu-ml
zhusuan thu-ml
418
2.2k
mit
142
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
deep-learning graphical-models generative-models bayesian-inference probabilistic-programming
Created 2016-07-18
439 commits to master branch, last one 5 years ago
avehtari
BDA_course_Aalto avehtari
556
2.2k
unknown
66
Bayesian Data Analysis course at Aalto
bayes bayesian bayesian-methods bayesian-workflow bayesian-inference bayesian-data-analysis
Created 2018-09-07
1,651 commits to master branch, last one a day ago
TuringLang
Turing.jl TuringLang
219
2.0k
mit
50
Bayesian inference with probabilistic programming.
hmc mcmc turing hacktoberfest julia-language machine-learning bayesian-inference bayesian-statistics probabilistic-models artificial-intelligence hamiltonian-monte-carlo probabilistic-inference bayesian-neural-networks probabilistic-programming probabilistic-graphical-models
Created 2016-04-29
3,392 commits to master branch, last one 13 days ago
pymc-devs
pymc-resources pymc-devs
745
2.0k
mit
66
PyMC educational resources
data-science data-analysis bayesian-inference bayesian-statistics
Created 2017-11-13
409 commits to main branch, last one 5 months ago
JavierAntoran
Bayesian-Neural-Networks JavierAntoran
303
1.8k
mit
28
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
hmc mcmc sgld pytorch mc-dropout regression uncertainty deep-learning classification bayes-by-backprop langevin-dynamics bayesian-inference approximate-inference reproducible-research variational-inference bayesian-neural-networks uncertainty-neural-networks local-reparametrization-trick out-of-distribution-detection kronecker-factored-approximation
Created 2019-03-11
86 commits to master branch, last one about a year ago
dotnet
infer dotnet
229
1.6k
mit
103
Infer.NET is a framework for running Bayesian inference in graphical models
machine-learning bayesian-inference
Created 2018-09-14
476 commits to main branch, last one 2 months ago
janosh
awesome-normalizing-flows janosh
124
1.4k
mit
44
Awesome resources on normalizing flows.
awesome-list autoregressive machine-learning normalizing-flows bayesian-inference density-estimation generative-modeling variational-inference bayesian-neural-networks
Created 2019-12-11
110 commits to main branch, last one about a month ago
kumar-shridhar
PyTorch-BayesianCNN kumar-shridhar
324
1.4k
mit
31
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
bayes python pytorch pytorch-cnn bayesian-network bayes-by-backprop bayesian-convnets bayesian-networks image-recognition variational-bayes bayesian-inference bayesian-statistics variational-inference bayesian-deep-learning aleatoric-uncertainties bayesian-neural-networks convolutional-neural-networks
Created 2018-07-27
308 commits to master branch, last one 3 years ago
paul-buerkner
brms paul-buerkner
186
1.3k
gpl-2.0
45
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
brms stan r-package multilevel-models bayesian-inference statistical-models
Created 2015-06-17
5,515 commits to master branch, last one 3 days ago
pptacher
probabilistic_robotics pptacher
378
1.2k
mit
51
solution of exercises of the book "probabilistic robotics"
cpp seif slam julia numpy lapack matlab fastslam robotics navigation kalman-filter particle-filter armadillo-library intel-mkl-library bayesian-inference textbook-solutions autonomous-vehicles google-cloud-platform victoria-park-dataset probabilistic-robotics
Created 2018-05-10
233 commits to master branch, last one about a year ago
bambinos
bambi bambinos
124
1.1k
mit
31
BAyesian Model-Building Interface (Bambi) in Python.
python regression-models bayesian-inference bayesian-statistics statistical-analysis statistical-modeling
Created 2016-05-16
825 commits to main branch, last one 10 days ago
stan-dev
rstan stan-dev
269
1.0k
unknown
69
RStan, the R interface to Stan
r mcmc stan r-package bayesian-inference bayesian-statistics bayesian-data-analysis
Created 2013-05-22
3,812 commits to develop branch, last one 4 months ago
avehtari
BDA_py_demos avehtari
300
997
gpl-3.0
56
Bayesian Data Analysis demos for Python
mcmc stan python bayesian bayesian-inference bayesian-data-analysis
Created 2015-03-04
178 commits to master branch, last one 2 years ago
brylevkirill
notes brylevkirill
237
915
unknown
74
Learn about Machine Learning and Artificial Intelligence
reasoning deep-learning knowledge-graph causal-inference machine-learning bayesian-inference question-answering recommender-systems information-retrieval reinforcement-learning artificial-intelligence knowledge-representation probabilistic-programming natural-language-processing
Created 2016-04-22
181 commits to master branch, last one 2 years ago
awslabs
fortuna awslabs
46
892
apache-2.0
12
A Library for Uncertainty Quantification.
ai ml jax flax calibration uncertainty deep-learning neural-networks machine-learning model-calibration bayesian-inference conformal-prediction uncertainty-estimation uncertainty-calibration uncertainty-quantification
Created 2022-11-17
235 commits to main branch, last one 2 months ago
FRBNY-DSGE
DSGE.jl FRBNY-DSGE
228
872
bsd-3-clause
61
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
dsge economics macroeconomics dynamical-systems bayesian-inference statistical-models
Created 2015-11-25
7,041 commits to main branch, last one 21 days ago
blackjax-devs
blackjax blackjax-devs
106
849
apache-2.0
13
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
sampling-methods bayesian-inference hamiltonian-monte-carlo probabilistic-programming
Created 2020-12-09
523 commits to main branch, last one 22 days ago
JWarmenhoven
DBDA-python JWarmenhoven
264
673
mit
29
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
mcmc pymc3 kruschke bayesian-inference hierarchical-models bayesian-data-analysis probabilistic-programming
Created 2016-07-13
210 commits to master branch, last one 3 years ago
ericmjl
bayesian-stats-modelling-tutorial ericmjl
280
658
mit
26
How to do Bayesian statistical modelling using numpy and PyMC3
pymc bayesian bayesian-inference bayesian-statistics bayesian-data-science bayesian-data-analysis
Created 2018-02-01
262 commits to master branch, last one 2 years ago
sbi-dev
sbi sbi-dev
152
591
apache-2.0
21
Simulation-based inference toolkit
pytorch machine-learning bayesian-inference parameter-estimation likelihood-free-inference simulation-based-inference
Created 2020-02-11
1,262 commits to main branch, last one 8 days ago
avehtari
BDA_R_demos avehtari
206
567
bsd-3-clause
37
Bayesian Data Analysis demos for R
r mcmc stan bayesian monte-carlo bayesian-inference bayesian-data-analysis
Created 2016-02-10
340 commits to master branch, last one about a month ago
ericmjl
bayesian-analysis-recipes ericmjl
111
554
mit
20
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
IntelLabs
bayesian-torch IntelLabs
73
540
bsd-3-clause
18
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
pytorch deep-learning bayesian-layers bayesian-inference deep-neural-networks bayesian-deep-learning uncertainty-estimation bayesian-neural-networks uncertainty-quantification uncertainty-neural-networks stochastic-variational-inference
Created 2020-12-17
140 commits to main branch, last one 10 months ago