|
gptkbp:instanceOf
|
gptkb:convolutional_neural_network
|
|
gptkbp:category
|
gptkb:artificial_intelligence
gptkb:software
|
|
gptkbp:competitor
|
gptkb:TensorFlow
gptkb:MXNet
gptkb:PyTorch
|
|
gptkbp:developer
|
gptkb:Huawei
|
|
gptkbp:documentation
|
https://www.mindspore.cn/docs/en/
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
MindSpore
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:notableFeature
|
privacy protection
model compression
model quantization
graph computation
automatic mixed precision
AI-native design
cloud-edge-device collaboration
dynamic and static graph modes
end-to-end AI development
federated learning support
hardware-agnostic
|
|
gptkbp:openSource
|
true
|
|
gptkbp:platform
|
gptkb:Windows
gptkb:macOS
gptkb:microprocessor
gptkb:graphics_card
gptkb:Linux
gptkb:Ascend_AI_Processor
|
|
gptkbp:programmingLanguage
|
gptkb:Python
gptkb:C++
C
|
|
gptkbp:releaseDate
|
2020
|
|
gptkbp:repository
|
https://github.com/mindspore-ai/mindspore
|
|
gptkbp:supports
|
distributed training
automatic differentiation
AI model deployment
data parallelism
model parallelism
|
|
gptkbp:targetAudience
|
data scientists
AI researchers
machine learning engineers
|
|
gptkbp:usedIn
|
gptkb:Ascend_AI_hardware
gptkb:Huawei_Cloud
|
|
gptkbp:website
|
https://www.mindspore.cn/
|
|
gptkbp:bfsParent
|
gptkb:Huawei_AI
|
|
gptkbp:bfsLayer
|
5
|