Statements (59)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:Library
|
gptkbp:based_on |
gptkb:Graphics_Processing_Unit
|
gptkbp:developed_by |
gptkb:Job_Search_Engine
|
gptkbp:has_community |
active community
|
gptkbp:has_documentation |
https://www.tensorflow.org/probability
|
gptkbp:has_feature |
flexibility
performance optimization scalability automatic differentiation custom distributions support for mobile deployment support for time series analysis support for cloud computing support for data visualization support for edge computing support for distributed computing support for deep learning support for reinforcement learning support for model evaluation support for statistical tests custom bijectors easy integration with Tensor Flow models interoperability with Num Py modeling complex distributions support for Bayesian neural networks support for Bayesian optimization support for Gaussian processes support for Tensor Flow datasets support for empirical Bayes support for hierarchical models support for interactive modeling support for large-scale data analysis support for latent variable models support for model selection support for nonparametric models support for probabilistic graphical models support for simulation-based inference support for uncertainty quantification support for variational inference |
https://www.w3.org/2000/01/rdf-schema#label |
Tensor Flow Probability
|
gptkbp:is_a_hub_for |
https://github.com/tensorflow/probability
|
gptkbp:is_compatible_with |
gptkb:Graphics_Processing_Unit
|
gptkbp:is_used_for |
gptkb:software_framework
statistical analysis probabilistic reasoning |
gptkbp:language |
gptkb:Library
|
gptkbp:provides |
distributions
probabilistic programming bijectors probabilistic layers |
gptkbp:release_date |
gptkb:2018
|
gptkbp:supports |
gptkb:Tensor_Flow_2.x
gptkb:Markov_Chain_Monte_Carlo Bayesian inference Monte Carlo methods |
gptkbp:used_in |
gptkb:Research_Institute
industry applications |
gptkbp:bfsParent |
gptkb:Graphics_Processing_Unit
|
gptkbp:bfsLayer |
3
|