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vxjo7thuwy

nothing to do

https://github.com/48094amosdaniel/vxjo7thuwy

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Scientific vocabulary similarity
    Low similarity (13.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

nothing to do

Basic Info
  • Host: GitHub
  • Owner: 48094aMOsDANieL
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 180 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed 10 months ago
Metadata Files
Readme Changelog Contributing Funding License Code of conduct Citation Codeowners Security Authors Copyright Cla

README-en.md


Linux, AI, Python, GUI: 4-in-1 Environments Running on Android. [] [English]

Build Status Coverage Status License Fork star commit

AidLearning is a mobile AI development platform that supports all mainstream development frameworks and tools for deep learning and neural networks.

It has a unique cpu+gpu+npu(dsp) acceleration technology, that brings a significant boost on performance of deep-learning algorithm by the built-in aidlite module. At the same time, AidLearning also provides developers with popular development tools, such as VSCode and Jupyter Notebook.

AidLux 1.0 is officially released! (Click to watch video )

Usage

The lastest version of release is in the link below (About 388MB):

AidLearning v0.90PRE

Architecture

There're two parts of the AidLearning framework: the Linux environment and the AI programming platform.

The Linux environment is composed of Terminal and Desktop. A complete Linux environment on Android is built underlying Linux kernel and busybox command package. Similar to the original Linux system, users can install any dependency package through apt command. Also, a graphical operating desktop based on web is provided for users, which can help them operate directly through touching screen.

AidLearning also provides a cloud desktop function, which means the mobile device is accessable via LAN for computers with Aidlearning Framework.

The AI programming platform part consists of a deep learning framework and a Python visual programming framework. AidLearning contains all the current mainstream deep learning frameworks, which are responsible for model loading, scheduling of computational graphs, memory allocation for each computation, and Op implementation. Mean while, a python visualization development platform, which can run and debug Python code in real time, is created for developers. They can design the app's interface, compile and package it with one click, and quickly develop AI applications through AidLearning's built-in apk dev-tools.

Built-in Tools

Contribution to AidLearning

Community & Feedback

Groupchat in QQ

License

Acknowledgements

Contributorsbillflaygondonwillamguguyoline777qidisoyugemuzi_ys

Repos list below

Owner

  • Login: 48094aMOsDANieL
  • Kind: user

GitHub Events

Total
  • Push event: 926
  • Create event: 2
Last Year
  • Push event: 926
  • Create event: 2

Dependencies

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