|
gptkbp:instanceOf
|
gptkb:software
gptkb:convolutional_neural_network
|
|
gptkbp:basedOn
|
gptkb:PyTorch
|
|
gptkbp:category
|
gptkb:model
gptkb:software
deep learning library
|
|
gptkbp:compatibleWith
|
gptkb:PyTorch_ecosystem
gptkb:TensorBoard
gptkb:MLflow
gptkb:Weights_&_Biases
gptkb:Comet.ml
|
|
gptkbp:developer
|
gptkb:Lightning_AI
|
|
gptkbp:documentation
|
https://lightning.ai/docs/pytorch/stable/
|
|
gptkbp:feature
|
early stopping
hyperparameter tuning
distributed training
callbacks
mixed precision training
multi-GPU training
checkpointing
modular code structure
automatic hardware acceleration
gradient accumulation
logging integration
experiment reproducibility
model profiling
|
|
gptkbp:firstReleased
|
2019
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
pytorch-lightning
|
|
gptkbp:latestReleaseVersion
|
2024
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:maintainedBy
|
gptkb:Lightning_AI
|
|
gptkbp:npmPackage
|
gptkb:pytorch-lightning
|
|
gptkbp:programmingLanguage
|
gptkb:Python
|
|
gptkbp:purpose
|
simplify deep learning research
|
|
gptkbp:repository
|
https://github.com/Lightning-AI/pytorch-lightning
|
|
gptkbp:usedFor
|
gptkb:machine_learning
AI research
deep learning
|
|
gptkbp:bfsParent
|
gptkb:PyTorch_Lightning
|
|
gptkbp:bfsLayer
|
6
|