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gptkbp:instance_of
|
gptkb:Library
|
|
gptkbp:constructed_in
|
Py Torch framework
|
|
gptkbp:developed_by
|
gptkb:Py_Torch_team
|
|
gptkbp:distribution
|
MIT License
|
|
gptkbp:enables
|
model checkpointing
|
|
gptkbp:facilitates
|
logging
|
|
gptkbp:has
|
community support
model evaluation tools
customizable training loops
predefined metrics
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Py Torch Ignite
|
|
gptkbp:includes
|
metrics
|
|
gptkbp:integrates_with
|
gptkb:Py_Torch
|
|
gptkbp:is_available_in
|
gptkb:Python_Package_Index_(Py_PI)
|
|
gptkbp:is_available_on
|
gptkb:archive
|
|
gptkbp:is_compatible_with
|
gptkb:Jupyter_Notebooks
gptkb:CEO
gptkb:board_game
gptkb:CUDA
Python 3.6+
|
|
gptkbp:is_designed_for
|
ease of use
|
|
gptkbp:is_documented_in
|
official documentation
|
|
gptkbp:is_integrated_with
|
gptkb:Matplotlib
gptkb:Pandas
gptkb:Sci_Py
gptkb:Num_Py
|
|
gptkbp:is_open_source
|
gptkb:theorem
|
|
gptkbp:is_optimized_for
|
gptkb:benchmark
|
|
gptkbp:is_part_of
|
open-source projects
deep learning frameworks
AI development tools
Py Torch ecosystem
|
|
gptkbp:is_supported_by
|
tutorials
workshops
community contributions
online forums
user guides
|
|
gptkbp:is_tested_for
|
unit tests
|
|
gptkbp:is_used_by
|
gptkb:physicist
gptkb:software
|
|
gptkbp:is_used_for
|
computer vision
hyperparameter tuning
natural language processing
time series analysis
reinforcement learning
data augmentation
transfer learning
model deployment
feature extraction
anomaly detection
training neural networks
model inference
ensemble learning
|
|
gptkbp:is_used_in
|
gptkb:academic_research
industry applications
|
|
gptkbp:offers
|
event-based engine
|
|
gptkbp:provides
|
callbacks
data loaders
high-level AP Is
|
|
gptkbp:released_in
|
gptkb:2019
|
|
gptkbp:supports
|
distributed training
mixed precision training
multi-GPU training
|
|
gptkbp:written_in
|
gptkb:Library
|
|
gptkbp:bfsParent
|
gptkb:Py_Torch
|
|
gptkbp:bfsLayer
|
4
|