Alex kendall githubWhat Uncertainties Do We Need in Bayesian Deep Learning for Computer VisionBayesian neural networkUncertainty deep learningBayesian deep learningBayesian machine learning notebooks - GitHub
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Notebooks about Bayesian methods for machine learning - GitHub - krasserm/bayesian-machine-learning: Notebooks about Bayesian methods for machine learning. Skiptocontent {{message}} krasserm / bayesian-machine-learning Public Notifications Fork 397 Star 1.5k NotebooksaboutBayesianmethodsformachinelearning License Apache-2.0license 1.5k stars 397 forks Star Notifications Code Issues 5 Pullrequests 0 Actions Projects 0 Wiki Security Insights More Code Issues Pullrequests Actions Projects Wiki Security Insights krasserm/bayesian-machine-learning Thiscommitdoesnotbelongtoanybranchonthisrepository,andmaybelongtoaforkoutsideoftherepository. dev Branches Tags Couldnotloadbranches Nothingtoshow {{refName}} default Couldnotloadtags Nothingtoshow {{refName}} default 3 branches 4 tags Code Latestcommit krasserm AddmissingreferencetoBOtutorial … 22c0c6c Jan19,2021 AddmissingreferencetoBOtutorial 22c0c6c Gitstats 134 commits Files Permalink Failedtoloadlatestcommitinformation. Type Name Latestcommitmessage Committime autoencoder-applications bayesian-linear-regression bayesian-neural-networks bayesian-optimization gaussian-processes latent-variable-models noise-contrastive-priors .gitignore LICENSE README.md Viewcode README.md Bayesianmachinelearningnotebooks ThisrepositoryisacollectionofnotebooksaboutBayesianMachineLearning.Thefollowinglinksdisplay someofthenotebooksvianbviewertoensureaproperrenderingofformulas. Dependenciesarespecifiedinrequirements.txtfilesinsubdirectories. Bayesianregressionwithlinearbasisfunctionmodels. IntroductiontoBayesianlinearregression.ImplementationwithplainNumPyandscikit-learn.Seealso PyMC3implementation. Gaussianprocesses. IntroductiontoGaussianprocessesforregression.ImplementationwithplainNumPy/SciPyaswellaswithscikit-learnandGPy. Gaussianprocessesforclassification. IntroductiontoGaussianprocessesforclassification.ImplementationwithplainNumPy/SciPyaswellaswithscikit-learn. SparseGaussianprocesses. IntroductiontosparseGaussianprocessesusingavariationalapproach.ExampleimplementationwithJAX. Bayesianoptimization. IntroductiontoBayesianoptimization.ImplementationwithplainNumPy/SciPyaswellaswithlibrariesscikit-optimize andGPyOpt.Hyper-parametertuningasapplicationexample. VariationalinferenceinBayesianneuralnetworks. DemonstrateshowtoimplementaBayesianneuralnetworkandvariationalinferenceofweights.Exampleimplementation withKeras. Reliableuncertaintyestimatesforneuralnetworkpredictions. UsesnoisecontrastivepriorsforBayesianneuralnetworkstogetmorereliableuncertaintyestimatesforOODdata. ImplementedwithTensorflow2andTensorflowProbability. Latentvariablemodels,part1:GaussianmixturemodelsandtheEMalgorithm. Introductiontotheexpectationmaximization(EM)algorithmanditsapplicationtoGaussianmixturemodels. ImplementationwithplainNumPy/SciPyandscikit-learn.Seealso PyMC3implementation. Latentvariablemodels,part2:Stochasticvariationalinferenceandvariationalautoencoders. Introductiontostochasticvariationalinferencewithavariationalautoencoderasapplicationexample.Implementation withTensorflow2.x. Deepfeatureconsistentvariationalautoencoder. Describeshowaperceptuallosscanimprovethequalityofimagesgeneratedbyavariationalautoencoder.Example implementationwithKeras. ConditionalgenerationviaBayesianoptimizationinlatentspace. DescribesanapproachforconditionallygeneratingoutputswithdesiredpropertiesbydoingBayesianoptimizationin latentspacelearnedbyavariationalautoencoder.ExampleapplicationimplementedwithKerasandGPyOpt. About NotebooksaboutBayesianmethodsformachinelearning Topics machine-learning bayesian-methods gaussian-processes bayesian-optimization bayesian-machine-learning variational-autoencoder Resources Readme License Apache-2.0license Stars 1.5k stars Watchers 71 watching Forks 397 forks Releases 3 v-0.3 Latest Dec12,2020 +2releases Packages0 Nopackagespublished Contributors3 Languages JupyterNotebook 99.8% Python 0.2% Youcan’tperformthatactionatthistime. Yousignedinwithanothertaborwindow.Reloadtorefreshyoursession. Yousignedoutinanothertaborwindow.Reloadtorefreshyoursession.
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