Statements (76)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Jeff_Bezanson
gptkb:Flux.jl |
| gptkbp:application |
data science
|
| gptkbp:author |
gptkb:Chris_Rackauckas
|
| gptkbp:community |
open source
|
| gptkbp:dependency |
gptkb:Flux.jl
|
| gptkbp:developed_by |
Julia Diff
|
| gptkbp:example |
gptkb:microprocessor
gptkb:military_base gptkb:robot image processing data visualization deep learning financial modeling hyperparameter tuning image recognition natural language processing statistical modeling time series analysis active learning reinforcement learning signal processing speech recognition supervised learning unsupervised learning feature selection optimization problems genetic algorithms recommendation systems transfer learning multi-task learning ensemble methods scientific simulations clustering algorithms anomaly detection dimensionality reduction backpropagation model validation computational biology meta-learning sensitivity analysis adversarial training physics simulations few-shot learning semi-supervised learning self-supervised learning graph neural networks zero-shot learning federated learning simulation optimization |
| gptkbp:features |
custom gradients
|
| gptkbp:has_documentation |
available online
|
| https://www.w3.org/2000/01/rdf-schema#label |
Zygote.jl
|
| gptkbp:influenced_by |
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch |
| gptkbp:installation |
via Julia package manager
|
| gptkbp:integrates_with |
with scientific computing libraries
|
| gptkbp:is_compatible_with |
gptkb:software_framework
|
| gptkbp:is_maintained_by |
Julia Diff team
|
| gptkbp:language |
gptkb:Julia
|
| gptkbp:latest_version |
0.6.30
|
| gptkbp:license |
MIT License
|
| gptkbp:performance |
high efficiency
|
| gptkbp:platform |
cross-platform
|
| gptkbp:provides |
automatic differentiation for any Julia function
gradient computation |
| gptkbp:release_date |
gptkb:2019
|
| gptkbp:repository |
gptkb:archive
|
| gptkbp:supports |
GPU computing
differentiable programming |
| gptkbp:tutorials |
available online
|
| gptkbp:type |
automatic differentiation
|
| gptkbp:uses |
Julia's type system
reverse mode differentiation |