Statements (45)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:alternativeTo |
gptkb:Keras
gptkb:fastai TensorFlow Lightning |
| gptkbp:basedOn |
gptkb:PyTorch
|
| gptkbp:citation |
Falcon, W. (2019). PyTorch Lightning. GitHub repository. https://github.com/Lightning-AI/lightning
|
| gptkbp:compatibleWith |
gptkb:PyTorch_ecosystem
gptkb:TensorBoard gptkb:MLflow gptkb:Weights_&_Biases gptkb:Comet.ml |
| gptkbp:designedFor |
deep learning
|
| gptkbp:developer |
gptkb:William_Falcon
|
| gptkbp:documentation |
https://lightning.ai/docs/pytorch/stable/
|
| gptkbp:feature |
early stopping
distributed training callbacks experiment tracking mixed precision training model export multi-GPU training checkpointing modular code structure automatic hardware acceleration logging integration |
| gptkbp:firstReleased |
2019
|
| gptkbp:license |
gptkb:Apache_License_2.0
|
| gptkbp:logo |
https://github.com/Lightning-AI/lightning/raw/master/docs/source/_static/images/logo.png
|
| gptkbp:maintainedBy |
gptkb:Lightning_AI
|
| gptkbp:npmPackage |
gptkb:pytorch-lightning
|
| gptkbp:openSource |
true
|
| gptkbp:programmingLanguage |
gptkb:Python
|
| gptkbp:purpose |
enable reproducible experiments
simplify research code |
| gptkbp:repository |
https://github.com/Lightning-AI/lightning
|
| gptkbp:usedBy |
gptkb:researchers
industry practitioners |
| gptkbp:usedFor |
gptkb:reinforcement_learning
computer vision natural language processing time series analysis |
| gptkbp:bfsParent |
gptkb:PyTorch_Lightning_Profiler
gptkb:PyTorch_Lightning_Tuners |
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
PyTorch Lightning library
|