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Alibaba F(x) Team

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Alibaba F(x) Team Posted blog

Intelligently Generate Frontend Code from Design Files: imgcook

This article is a part of the article series discussing how to generate frontend code from design files intelligently.

Alibaba F(x) Team Posted blog

Intelligently Generate Frontend Code from Design Files: Business Logic Generation

This article is a part of the article series discussing how to generate frontend code from design files intelligently.

Alibaba F(x) Team Posted blog

Intelligently Generate Frontend Code from Design Files: Basic Component Recognition

This article is a part of the article series discussing how to generate frontend code from design files intelligently.

Alibaba F(x) Team Posted blog

Intelligently Generate Frontend Code from Design Files: Field Binding

This article is a part of the article series discussing how to generate frontend code from design files intelligently.

Alibaba F(x) Team Posted blog

Intelligently Generate Frontend Code from Design Files: Image Segmentation

This article discusses how to generate frontend code from design files intelligently, covering image segmentation and content extraction from complex image backgrounds.

Alibaba F(x) Team Posted blog

Intelligently Generate Frontend Code from Design Files: Business Module Recognition

This article discusses business module recognition and explores the random forest and XGBoost models for intelligent frontend code generation.

Alibaba F(x) Team Posted blog

Intelligently Generate Frontend Code from Design Files: Form and Table Recognition

This article discusses how to generate frontend code from design files intelligently, specifically on code generation for forms and tables.

Alibaba F(x) Team Posted blog

Ideas for Using Recursive Autoencoders for Intelligent Layout Generation

This article uses the main ideas of the "READ: Recursive Autoencoders for Document Layout Generation" paper and discusses its implementation in frontend scenarios.

Alibaba F(x) Team Posted blog

Implement Your Own Control Recognition Model with Pipcook

This article guides you through the implementation of your own frontend intelligent project and use of machine learning to address programming problems.

Alibaba F(x) Team Posted blog

Information Input Considerations for Intelligently Generating Frontend Code

This article focuses on ways to obtain information and how imgcook has helped on the journey of generating more accurate code.

Alibaba F(x) Team Posted blog

Pipcook — Providing the Frontend with a Complete Intelligent Algorithm Framework

This article introduces Pipcook and discusses how it can be optimized and used for an intelligent frontend.

Alibaba F(x) Team Posted blog

TensorFlow.js Helps Recognize Large Quantities of Icons in Milliseconds!

This article discusses how to implement Deep Learning, Sample Generation, Model Training, Model Compression, and Conversion with TensorFlow.

Alibaba F(x) Team Posted blog

Building a High-Level Frontend Machine Learning Framework Based on the tfjs-node

This article describes how Pipcook is integrated with TensorFlow and how the underlying models of tfjs-node are used to build a machine learning pipeline.

Alibaba F(x) Team Posted blog

AI Empowers Design-to-Code in the Mid-End and Backend Scenarios

This article explores how AI empowers Design-to-Code (D2C) in mid-end and backend scenarios.

Alibaba F(x) Team Posted blog

Frontend Intelligence - A New Way of Thinking

This article discusses upgrading programming through machine learning and intelligent thinking.

Alibaba F(x) Team Posted blog

Do Alibaba's Frontend Developers Slice Images? No, it‘s Done by AI

This article explains the importance of frontend intelligence and how it will improve development efficiency.

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