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[YMIR] master->dev (#1405)
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* [web] 200 algo label update (#1344)

[web] 130 algo update label (#1338)

* [web] 200 expand docs (#1347)

expand docs sidebar as default

* [ci] update ci (#1349)

update ci

Co-authored-by: Your Name <[email protected]>

* [web] 200 update algo page title (#1356)

store -> public algo

* [readme]overall update (#1355)

* update

Co-authored-by: elliotmessi <[email protected]>
Co-authored-by: Your Name <[email protected]>
Co-authored-by: Aryalfrat <[email protected]>
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4 people authored Nov 23, 2022
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<div align="center">
<img src="https://github.com/IndustryEssentials/ymir-images/blob/main/doc_images/wechat_code.jpg" width="180"/>
<img src="https://github.com/IndustryEssentials/ymir-images/blob/main/doc_images/contact.jpg" width="400"/>

📫 Feedback on usage issues: [email protected] / Professional consulting for server equipment: [email protected]
<div>&nbsp;</div>&nbsp;</div>

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<div align="center">
<img src="https://github.com/IndustryEssentials/ymir-images/blob/main/doc_images/processing.png" width="1500"/>
<div>&nbsp;</div>&nbsp;</div>

AI commercialization is currently reaching a stage of maturity in terms of computing hardwares, algorithms, etc. The adoption of AI often encounter challenges such as a lack of skilled developers, high development costs and long iteration cycles.

As a platform, YMIR provides an end-to-end AI development system. This platform reduces costs for companies using artificial intelligence and accelerates the adoption of artificial intelligence. YMIR provides ML developers with one-stop services for data processing, model training, and other steps required in the AI development cycle.
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