Properties (63)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
software
|
| gptkbp:compatibleWith |
CUDA
|
| gptkbp:developedBy |
gptkb:Facebook_AI_Research
|
| gptkbp:firstPublished |
September 2016
|
| gptkbp:has |
gptkb:TorchScript
gptkb:DataLoader gptkb:TorchAudio Community support Visualization tools Pre-trained models JIT compiler TorchText TorchVision Support for natural language processing Support for time series analysis Extensive documentation Support for adversarial training Support for data augmentation Support for hyperparameter tuning Support for mixed precision training Support for mobile deployment Support for transfer learning nn.Module Support for edge computing Support for scientific computing Model serving capabilities Support for cloud deployment Integration with TensorBoard Custom loss functions Support for audio processing Support for benchmarking Support for computer vision Support for custom datasets Support for ensemble methods Support for explainable AI Support for feature engineering Support for federated learning Support for generative models Support for graph neural networks Support for graph-based learning Support for large-scale training Support for model compression Support for model interpretability Support for real-time inference Support for reinforcement learning algorithms Support for self-supervised learning Support for semi-supervised learning Support for various optimizers ONNX_support |
| https://www.w3.org/2000/01/rdf-schema#label |
PyTorch
|
| gptkbp:integratesWith |
NumPy
|
| gptkbp:language |
Python
|
| gptkbp:provides |
Dynamic computation graph
|
| gptkbp:supports |
Quantization
Distributed training Reinforcement learning Automatic differentiation Tensor computation Multi-GPU training GPU_acceleration |
| gptkbp:usedBy |
Industry
Researchers |
| gptkbp:usedIn |
Deep Learning
|