|
gptkbp:instanceOf
|
gptkb:software
|
|
gptkbp:builtOnTopOf
|
gptkb:PyTorch
|
|
gptkbp:category
|
gptkb:software
Python libraries
deep learning software
|
|
gptkbp:citation
|
gptkb:Howard,_J.,_&_Gugger,_S._(2020)._fastai:_A_Layered_API_for_Deep_Learning._Information,_11(2),_108.
|
|
gptkbp:compatibleWith
|
gptkb:PyTorch_1.x
Python 3.7+
|
|
gptkbp:describes
|
A deep learning library that simplifies training neural networks.
|
|
gptkbp:developer
|
gptkb:Jeremy_Howard
gptkb:Sylvain_Gugger
gptkb:fast.ai_team
|
|
gptkbp:documentation
|
https://docs.fast.ai/
|
|
gptkbp:feature
|
data augmentation
automatic mixed precision
easy deployment
callbacks system
high-level API for PyTorch
integrated with Jupyter notebooks
learning rate finder
metrics and visualization tools
one-cycle training policy
state-of-the-art models
transfer learning support
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Fastai
|
|
gptkbp:latestReleaseVersion
|
2023-10-10
2.7.13
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:notableUser
|
gptkb:Kaggle_competitors
educators
AI researchers
|
|
gptkbp:programmingLanguage
|
gptkb:Python
|
|
gptkbp:relatedTo
|
gptkb:Practical_Deep_Learning_for_Coders
gptkb:fastai_course
|
|
gptkbp:releaseDate
|
2017
|
|
gptkbp:repository
|
https://github.com/fastai/fastai
|
|
gptkbp:supportedBy
|
gptkb:fast.ai_forums
community contributions
|
|
gptkbp:usedFor
|
gptkb:machine_learning
computer vision
deep learning
natural language processing
collaborative filtering
tabular data
|
|
gptkbp:website
|
https://www.fast.ai/
|
|
gptkbp:bfsParent
|
gptkb:MLflow_models
|
|
gptkbp:bfsLayer
|
7
|