https://github.com/charmve/jsflow

🏄 A Lightweight Web Browser-based Machine Learning Framework
https://github.com/charmve/jsflow

convnetjs deep-learning framework javescript jsflow machine-learning-framework mobile-devices mobile-nets tensor tensorflow training web web-browser web-framework

Last synced: about 2 months ago
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🏄 A Lightweight Web Browser-based Machine Learning Framework

• Host: GitHub
• URL: https://github.com/charmve/jsflow
• Owner: Charmve
• Created: 2020-12-03T03:14:20.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2023-02-25T04:15:34.000Z (almost 2 years ago)
• Last Synced: 2024-04-15T09:05:22.808Z (9 months ago)
• Topics: convnetjs, deep-learning, framework, javescript, jsflow, machine-learning-framework, mobile-devices, mobile-nets, tensor, tensorflow, training, web, web-browser, web-framework
• Language: CSS
• Homepage: https://github.com/Charmve
• Size: 935 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        

# Moving Deep Learning into Web Browser
 How Far Can We Go? 🐾 



  



Table 1. summarizes all the results as of Nov. 2018.[11]



  



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# jsFlow

A Lightweight Web Browser-based Machine Learning Framework






  



[CIFAR-10]:https://user-images.githubusercontent.com/29084184/219934730-94d0422c-1f9f-4406-8986-3e47bfdd9fec.png

## Online Demos

- [Convolutional Neural Network on CIFAR-10](https://charmve.github.io/jsFlow/index.html), one of my applications, [L0CV](https://charmve.github.io/L0CV-web/).

![CIFAR-10][CIFAR-10]

## 🔔 Update Reminder

[Subscribe -->](https://github.com/Charmve/jsFlow/edit/main/README.md)

☎️ [Contact me](https://user-images.githubusercontent.com/29084184/218641537-f40efdfc-fbdd-4ce8-b69c-4fed996437b4.png)

If you like what I do, maybe consider buying me a ☕ coffee/tea 🥺👉👈  



## 🍮 Community

- Github discussions 💬 or issues 💭

- QQ Group: 697948168 (password：jsFlow)

- Email: yidazhang#gmail.com 

## 🔗 Reference

[1] 2020. brain.js. https://github.com/BrainJS.

[2] 2020. Apache Singa. https://singa.apache.org

[3] 2020. Apache Mahout. https://mahout.apache.org

[4] 2020. Microsoft Cognitive Toolkit. https://docs.microsoft.com/en-us/cognitive-toolkit/

[5] 2020. Keras.js. https://github.com/transcranial/keras-js.

[6] 2020. TensorFlow.js. https://www.tensorflow.org/js/

[7] 2020. TensorFlow.js Application Case. https://mp.weixin.qq.com/mp/appmsgalbum?biz=MzU1OTMyNDcxMQ==&action=getalbum&album_id=1338140687686254592 (in Chinese)

[8] 2020. MIL WebDNN Benchmark. https://mil-tokyo.github.io/webdnn/#benchmar.

[9] 2020. Mind. https://github.com/stevenmiller888/mind.

[10] 2020. MorphCast. https://www.morphcast.com/.

[11] Ma, Yun & Xiang, Dongwei & Zheng, Shuyu & Tian, Deyu & Liu, Xuanzhe. (2019). Moving Deep Learning into Web Browser: How Far Can We Go?. https://arxiv.org/pdf/1901.09388.pdf

[12] ConvNetJS Deep Learning in your browser https://cs.stanford.edu/people/karpathy/convnetjs/

[13] ConvNetJS. https://github.com/karpathy/convnetjs

[14] The Best AI & Machine Learning Frameworks to Learn for Web Development https://www.freecodecamp.org/news/best-ai-machine-learning-frameworks-for-web-development/

[15] Building a Web Application to Deploy Machine Learning Models https://towardsdatascience.com/building-a-web-application-to-deploy-machine-learning-models-e224269c1331

[16] Top 5 Machine Learning Frameworks For Web Development https://dzone.com/articles/top-machine-learning-frameworks-for-web-developmen

[17] Embedding Machine Learning Models to Web Apps (Part-1) https://towardsdatascience.com/embedding-machine-learning-models-to-web-apps-part-1-6ab7b55ee428

[18] Xavier Bourry, Kai Sasaki, Christoph Körner, Reiichiro Nakano. 2018. Deep Learning in the Browser. ISBN 978-1-939902-54-2.

[19] Tengine. https://github.com/OAID/Tengine

[20] NanoDet. RangiLyu. GitHub repository. https://github.com/RangiLyu/nanodet  [📑[paper]() | [code](https://github.com/RangiLyu/nanodet) | 🍅[demo](https://nihui.github.io/ncnn-webassembly-nanodet/)]