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TensorFlow Probability References

Last updated at 2020-06-27Posted at 2020-06-27

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Title	URL
Home Page	https://www.tensorflow.org/probability
Youtube	https://www.youtube.com/channel/UC0rqucBdTuFTjJiefW5t-IQ/search?query=probability
Blog	https://blog.tensorflow.org/search?label=TensorFlow+Probability&max-results=20
Github	https://github.com/tensorflow/probability
Official tutorial	https://github.com/tensorflow/probability/tree/master/tensorflow_probability/examples/jupyter_notebooks
BMH tutorial	https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

Official tutorial

Home page	Github
A_Tour_of_TensorFlow_Probability	A_Tour_of_TensorFlow_Probability
Bayesian_Gaussian_Mixture_Model	Bayesian_Gaussian_Mixture_Model
Bayesian_Switchpoint_Analysis	Bayesian_Switchpoint_Analysis
Eight_Schools	Eight_Schools
Estimating_COVID_19_in_11_European_countries	Estimating_COVID_19_in_11_European_countries
Factorial_Mixture	Factorial_Mixture
FFJORD_Demo	FFJORD_Demo
Fitting_DPMM_Using_pSGLD	Fitting_DPMM_Using_pSGLD
Gaussian_Copula	Gaussian_Copula
Gaussian_Process_Latent_Variable_Model	Gaussian_Process_Latent_Variable_Model
Gaussian_Process_Regression_In_TFP	Gaussian_Process_Regression_In_TFP
Generalized_Linear_Models	Generalized_Linear_Models
HLM_TFP_R_Stan	HLM_TFP_R_Stan
Learnable_Distributions_Zoo	Learnable_Distributions_Zoo
Linear_Mixed_Effects_Model_Variational_Inference	Linear_Mixed_Effects_Model_Variational_Inference
Linear_Mixed_Effects_Models	Linear_Mixed_Effects_Models
Modeling_with_JointDistribution	Modeling_with_JointDistribution
Multilevel_Modeling_Primer	Multilevel_Modeling_Primer
Multiple_changepoint_detection_and_Bayesian_model_selection	Multiple_changepoint_detection_and_Bayesian_model_selection
Optimizers_in_TensorFlow_Probability	Optimizers_in_TensorFlow_Probability
Probabilistic_Layers_Regression	Probabilistic_Layers_Regression
Probabilistic_Layers_VAE	Probabilistic_Layers_VAE
Probabilistic_PCA	Probabilistic_PCA
Structural_Time_Series_Modeling_Case_Studies_Atmospheric_CO2_and_Electricity_Demand	Structural_Time_Series_Modeling_Case_Studies_Atmospheric_CO2_and_Electricity_Demand
STS_approximate_inference_for_models_with_non_Gaussian_observations	STS_approximate_inference_for_models_with_non_Gaussian_observations
TensorFlow_Distributions_Tutorial	TensorFlow_Distributions_Tutorial
TensorFlow_Probability_Case_Study_Covariance_Estimation	TensorFlow_Probability_Case_Study_Covariance_Estimation
Understanding_TensorFlow_Distributions_Shapes	Understanding_TensorFlow_Distributions_Shapes
Undocumented_Infection_and_the_Dissemination_of_SARS-CoV2	Undocumented_Infection_and_the_Dissemination_of_SARS-CoV2

BMH tutorial

nbviewer	Github
Ch1_Introduction_TFP	Ch1_Introduction_TFP
Ch2_MorePyMC_TFP	Ch2_MorePyMC_TFP
Ch3_IntroMCMC_TFP	Ch3_IntroMCMC_TFP
Ch4_LawOfLargeNumbers_TFP	Ch4_LawOfLargeNumbers_TFP
Ch5_LossFunctions_TFP	Ch5_LossFunctions_TFP
Ch6_Priors_TFP	Ch6_Priors_TFP

Blog

Home page
Introducing TensorFlow Probability
The Trinity Of Errors In Financial Models: An Introductory Analysis Using TensorFlow Probability
Industrial AI: BHGE’s Physics-based, Probabilistic Deep Learning Using TensorFlow Probability — Part 1
An introduction to probabilistic programming, now available in TensorFlow Probability
Predicting Known Unknowns with TensorFlow Probability — Industrial AI, Part 2
Variational Autoencoders with Tensorflow Probability Layers
Regression with Probabilistic Layers in TensorFlow Probability
Structural Time Series modeling in TensorFlow Probability
Modeling “Unknown Unknowns” with TensorFlow Probability — Industrial AI, Part 3

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