|
gptkbp:instance_of
|
gptkb:Library
|
|
gptkbp:dependency
|
gptkb:Matplotlib
gptkb:Sci_Py
gptkb:Num_Py
|
|
gptkbp:developed_by
|
gptkb:Google
|
|
gptkbp:has
|
example projects
|
|
gptkbp:has_community
|
open-source community
|
|
gptkbp:has_documentation
|
official documentation
|
|
gptkbp:has_feature
|
just-in-time compilation
parallelization
vectorization
|
|
gptkbp:has_features
|
custom gradients
jax.numpy
jax.scipy
|
|
gptkbp:has_performance
|
high performance
|
|
gptkbp:has_version
|
1.0.0
0.1.0
0.2.0
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
JAX
|
|
gptkbp:integrates_with
|
gptkb:Num_Py
|
|
gptkbp:is_available_on
|
gptkb:Py_PI
gptkb:Git_Hub
|
|
gptkbp:is_compatible_with
|
gptkb:Tensor_Flow
gptkb:Py_Torch
|
|
gptkbp:is_known_for
|
gptkb:Speed
flexibility
ease of use
|
|
gptkbp:is_optimized_for
|
deep learning
scientific computing
numerical computing
|
|
gptkbp:is_part_of
|
gptkb:ecosystem
gptkb:AI_technology
deep learning frameworks
data science tools
|
|
gptkbp:is_promoted_by
|
gptkb:Google_Research
open-source advocates
AI communities
|
|
gptkbp:is_supported_by
|
gptkb:academic_research
community contributions
industry applications
|
|
gptkbp:is_used_by
|
gptkb:engineers
gptkb:researchers
data scientists
|
|
gptkbp:is_used_in
|
research papers
workshops
educational courses
|
|
gptkbp:language
|
gptkb:Python
|
|
gptkbp:provides
|
automatic differentiation
|
|
gptkbp:release_date
|
gptkb:2018
|
|
gptkbp:supports
|
GPU acceleration
TPU acceleration
|
|
gptkbp:tutorials
|
online tutorials
|
|
gptkbp:used_for
|
gptkb:machine_learning
|
|
gptkbp:user_base
|
large user base
|
|
gptkbp:written_in
|
gptkb:Python
|
|
gptkbp:bfsParent
|
gptkb:Deep_Mind
gptkb:Jacksonville_International_Airport
gptkb:Tensor_Flow_Datasets
|
|
gptkbp:bfsLayer
|
5
|