Statements (63)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Library
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:software
|
| gptkbp:based_on |
gptkb:Py_Torch
|
| gptkbp:dependency |
gptkb:Matplotlib
gptkb:Graphics_Processing_Unit gptkb:Pandas gptkb:Sci_Py gptkb:Num_Py transformers |
| gptkbp:developed_by |
gptkb:Allen_Institute_for_AI
|
| gptkbp:features |
customizable components
visualization tools data preprocessing tools state-of-the-art performance model interpretability tools easy model training |
| gptkbp:first_released |
gptkb:2017
|
| gptkbp:has |
example projects
|
| gptkbp:has_community |
active user community
|
| gptkbp:has_documentation |
online documentation
|
| gptkbp:has_feature |
API integration
hyperparameter tuning user-friendly interface version control data augmentation logging capabilities batch processing cloud deployment experiment tracking support for custom metrics model serving extensive logging model checkpointing support for distributed training support for mixed precision training support for quantization configurable training loops support for model pruning support for various datasets |
| https://www.w3.org/2000/01/rdf-schema#label |
Allen NLP
|
| gptkbp:includes |
dataset readers
|
| gptkbp:is_available_on |
gptkb:archive
|
| gptkbp:is_used_by |
gptkb:physicist
gptkb:software |
| gptkbp:is_used_for |
natural language processing
question answering language modeling text classification named entity recognition semantic role labeling |
| gptkbp:language |
gptkb:Library
|
| gptkbp:notable_recipients |
open source contributors
|
| gptkbp:provides |
evaluation metrics
command line interface pre-trained models |
| gptkbp:supports |
research and development
GPU acceleration deep learning transfer learning multi-task learning custom model architectures |
| gptkbp:tutorials |
tutorials available
|