MindSpore

Machine learning software library

MindSpore

Developer(s)	Huawei
Initial release	March 31, 2020; 4 years ago (2020-03-31)
Repository	github.com/mindspore-ai/mindspore
Written in	C++, Rust, Julia, Python, ArkTS, Cangjie, Java (Lite)
Platform	Linux, Microsoft Windows, EulerOS, openEuler, OpenHarmony, Oniro OS, HarmonyOS, Android
Type	Machine learning library
License	Apache License 2.0
Website	www.mindspore.cn/en

Machine learning and data mining
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v t e

MindSpore is a open-source software framework for deep learning, machine learning and artificial intelligence developed by Huawei.^[1]^[2]

Overview

It has support for custom OpenHarmony-based HarmonyOS NEXT core system, includes an AI system stack that comes with Huawei's built LLM model called PanGu-Σ with full MindSpore framework support.^[3] Alongside, OpenHarmony Native device-side AI support for training interface and ArkTS programming interface for its NNRt (Neural Network Runtime) backend configurations via MindSpore Lite AI framework codebase introduced in API 11 Beta 1 of OpenHarmony 4.1. MindSpore platform runs on Ascend AI chips and Kirin alongside other HiSilicon NPU chips. ^[4]

CANN (Compute Architecture of Neural Networks), heterogeneous computing architecture for AI developed by Huawei. With CANN backend in OpenCV DNN, giving developers ability to run created AI models on the Ascend, Kirin and other HiSilicon NPU enabled chips.^[5]

References

^ "Huawei MindSpore AI Development Framework". Springer Link. Huawei Technologies. Retrieved February 13, 2024.
^ "Inference on the Ascend 310 AI Processor". MindSpore. MindSpore. Retrieved February 13, 2024.
^ Bhati, Kamlesh. "Huawei HarmonyOS NEXT Official Now: Bring Spatial Design and Vivid Color Concepts". Sparrownews.com. Sparrownews.com. Retrieved February 13, 2024.
^ "OpenHarmony 4.1 Beta1 Unleashes Cutting-Edge Features and API Advancements". World Tech. FTT World. Retrieved February 13, 2024.
^ MSV, Janakiram. "Huawei Wants To Tackle NVIDIA And Google With A Solid AI Strategy". Forbes. Forbes. Retrieved March 11, 2024.

Bibliography

Huawei MindSpore AI Development Framework (1st (Online) ed.). Springer, Singapore. October 22, 2022. pp. 137–162. ISBN 978-981-19-2879-6.
Lei, Chen (January 1, 2021). Deep Learning and Practice with MindSpore (1st ed.). Springer. p. 412. ISBN 9811622353.
Deep Learning and Mindspore Practice (Huawei Intelligent Computing Technology Series)(Chinese Edition) (1st ed.). Tsinghua University Press. March 1, 2020. p. 355. ISBN 7302546614.

External links

Official website
Learning MindSpore Web
Deep Learning and Practice with MindSpore Book (ENG)

v t e Deep learning software
Comparison
Open source	Apache MXNet Apache SINGA Caffe Deeplearning4j DeepSpeed Dlib Keras Microsoft Cognitive Toolkit ML.NET OpenNN PyTorch TensorFlow Theano Torch ONNX OpenVINO MindSpore
Proprietary	Apple Core ML IBM Watson Neural Designer Wolfram Mathematica MATLAB Deep Learning Toolbox
Category

Differentiable computing

General

Concepts

Gradient descent
- SGD
Clustering
Regression
- Overfitting
Hallucination
Adversary
Attention
Convolution
Loss functions
Backpropagation
Batchnorm
Activation
- Softmax
- Sigmoid
- Rectifier
Regularization
Datasets
- Augmentation
Diffusion
Autoregression

Applications

Hardware

Software libraries

TensorFlow
PyTorch
Keras
Theano
JAX
Flux.jl
MindSpore

Implementations

Audio–visual	AlexNet WaveNet Human image synthesis HWR OCR Speech synthesis Speech recognition Facial recognition AlphaFold Text-to-image models DALL-E Midjourney Stable Diffusion Text-to-video models Sora VideoPoet Whisper
Verbal	Word2vec Seq2seq BERT Gemini LaMDA Bard NMT Project Debater IBM Watson IBM Watsonx Granite GPT-1 GPT-2 GPT-3 GPT-4 ChatGPT GPT-J Chinchilla AI PaLM BLOOM LLaMA PanGu-Σ
Decisional	AlphaGo AlphaZero Q-learning SARSA OpenAI Five Self-driving car MuZero Action selection Auto-GPT Robot control