Statements (33)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:built |
gptkb:PyTorch
|
| gptkbp:category |
gptkb:convolutional_neural_network
machine learning framework |
| gptkbp:designedFor |
deep learning
|
| gptkbp:documentation |
https://lightning.ai/docs/pytorch/stable/
|
| gptkbp:enables |
early stopping
callbacks gradient accumulation logging integration scalable model training custom training loops automatic checkpointing automatic learning rate finder modular code |
| gptkbp:firstReleased |
2019
|
| https://www.w3.org/2000/01/rdf-schema#label |
PyTorch Lightning package
|
| gptkbp:license |
gptkb:Apache_License_2.0
|
| gptkbp:maintainedBy |
gptkb:Lightning_AI
|
| gptkbp:pipName |
gptkb:pytorch-lightning
|
| gptkbp:programmingLanguage |
gptkb:Python
|
| gptkbp:purpose |
enable reproducible research
simplify PyTorch code standardize training loops |
| gptkbp:repository |
https://github.com/Lightning-AI/lightning
|
| gptkbp:supports |
distributed training
mixed precision training multi-GPU training TPU training |
| gptkbp:usedBy |
gptkb:researchers
industry practitioners |
| gptkbp:bfsParent |
gptkb:PyTorch_Lightning_Tuner
|
| gptkbp:bfsLayer |
6
|