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TensorFlow Probability References

All

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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