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gptkbp:instanceOf
|
gptkb:software
gptkb:convolutional_neural_network
|
|
gptkbp:basedOn
|
gptkb:PyTorch
|
|
gptkbp:category
|
gptkb:artificial_intelligence
gptkb:machine_learning
data science
software development
|
|
gptkbp:developer
|
gptkb:William_Falcon
|
|
gptkbp:documentation
|
https://lightning.ai/docs/pytorch/stable/
|
|
gptkbp:feature
|
early stopping
reproducibility
distributed training
callbacks
mixed precision training
multi-GPU support
checkpointing
modular code structure
scalable training
automatic hardware acceleration
automatic optimization
gradient accumulation
logging integration
support for CPU
support for GPU
support for TPU
|
|
gptkbp:firstReleased
|
2019
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
PyTorch Lightning
|
|
gptkbp:integratesWith
|
gptkb:Hydra
gptkb:Google_Colab
gptkb:AWS
gptkb:TensorBoard
gptkb:DVC
gptkb:TorchScript
gptkb:Azure
gptkb:GCP
gptkb:Neptune.ai
gptkb:scikit-learn
gptkb:Hugging_Face_Transformers
gptkb:ONNX
gptkb:Kaggle
gptkb:MLflow
gptkb:Weights_&_Biases
gptkb:Comet.ml
gptkb:Optuna
right
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:maintainedBy
|
gptkb:Lightning_AI
|
|
gptkbp:npmPackage
|
gptkb:pytorch-lightning
|
|
gptkbp:purpose
|
simplify deep learning research
|
|
gptkbp:repository
|
https://github.com/Lightning-AI/lightning
|
|
gptkbp:usedFor
|
academic research
rapid prototyping
machine learning research
production deep learning
|
|
gptkbp:writtenBy
|
gptkb:Python
|
|
gptkbp:bfsParent
|
gptkb:FastAI
gptkb:Meta_AI
|
|
gptkbp:bfsLayer
|
5
|