Statements (65)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:C_programming_language
|
| gptkbp:allows |
cross-platform deployment
model debugging |
| gptkbp:can_be_used_with |
gptkb:C++
gptkb:Python |
| gptkbp:developed_by |
gptkb:Facebook
|
| gptkbp:enables |
performance improvements
model serialization |
| gptkbp:exported_to |
gptkb:Oni
|
| gptkbp:features |
dynamic typing
static typing |
| https://www.w3.org/2000/01/rdf-schema#label |
Torch Script
|
| gptkbp:is_available_on |
gptkb:Git_Hub
|
| gptkbp:is_based_on |
gptkb:Torch_library
|
| gptkbp:is_compatible_with |
gptkb:Python_3.x
gptkb:Torch_library C++11 and later |
| gptkbp:is_designed_for |
deep learning models
|
| gptkbp:is_documented_in |
Py Torch documentation
|
| gptkbp:is_integrated_with |
other frameworks
|
| gptkbp:is_open_source |
gptkb:true
|
| gptkbp:is_optimized_for |
GPU execution
|
| gptkbp:is_part_of |
AI development tools
Py Torch ecosystem |
| gptkbp:is_supported_by |
gptkb:community
|
| gptkbp:is_used_by |
data scientists
AI researchers |
| gptkbp:is_used_in |
gptkb:research
production environments |
| gptkbp:is_utilized_in |
hyperparameter tuning
time series analysis model evaluation reinforcement learning speech recognition data augmentation image classification object detection recommendation systems transfer learning multi-task learning ensemble methods model deployment feature extraction anomaly detection meta-learning semantic segmentation adversarial training few-shot learning model compression self-supervised learning graph neural networks generative models style transfer computer vision tasks NLP tasks |
| gptkbp:provides |
graph optimization
interoperability with C++ |
| gptkbp:related_to |
gptkb:Py_Torch
|
| gptkbp:suitable_for |
gptkb:mobile_applications
embedded systems |
| gptkbp:supports |
JIT compilation
custom operators |
| gptkbp:used_in |
gptkb:machine_learning
|
| gptkbp:bfsParent |
gptkb:Py_Torch
|
| gptkbp:bfsLayer |
4
|