Statements (61)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
software
|
| gptkbp:basedOn |
gptkb:PyTorch
|
| gptkbp:developedBy |
William_Falcon
|
| gptkbp:hasFeature |
Checkpointing
Testing Framework Data Parallelism Progress Bar Profiling Tools Multi-GPU Training Model Versioning Automatic Logging Early Stopping Experiment Tracking Support for Graph Neural Networks Support for Mobile Deployment Support for Quantization Support for Reinforcement Learning Support for Transfer Learning Support for Microservices Architecture Support for Mixed Precision Logging Support Support for Containerization Support for API Development Support for Computer Vision Support for Natural Language Processing Support for Serverless Computing Custom Callbacks Gradient Accumulation Integration with PyTorch Ecosystem Support for Active Learning Support for Cloud Training Support for Custom Loss Functions Support for Custom Metrics Support for Custom Optimizers Support for Data Augmentation Support for Edge Deployment Support for Ensemble Learning Support for Explainable AI Support for Federated Learning Support for Model Compression Support for Model Deployment Support for Model Interpretability Support for Multi-Task Learning Support for ONNX Export Support for Self-Supervised Learning Support for TPU Training Support for Time Series Analysis Support for Web Deployment Hyperparameter_Tuning Support_for_Jupyter_Notebooks |
| https://www.w3.org/2000/01/rdf-schema#label |
PyTorch Lightning
|
| gptkbp:integratesWith |
TensorBoard
MLflow Weights_&_Biases |
| gptkbp:language |
Python
|
| gptkbp:license |
Apache License 2.0
|
| gptkbp:provides |
Model Training Utilities
|
| gptkbp:releaseDate |
2019
|
| gptkbp:supports |
Distributed Training
Mixed Precision Training GPU_Acceleration |