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Pipcook

Pipcook 2.0 Implements the Training and Deployment of the Machine Learning Model in 20 Seconds!

This article explores how to use Pipcook 2.0 to train, deploy, and publish a model.

The Way to Train a Form Recognition Model on the Frontend Quickly

This article uses Pipcook to train a form recognition model and uses this model to improve the efficiency of form development.

AI Supports Automatic Generation of 90.4% of Frontend Modules during Double 11

This article discusses our ideas about AI in the frontend field and efforts to implement code intelligent generation.

Low-Code/No-Code: From the Perspective of Frontend Intelligence

This article explains the similarities and differences between Low-Code and No-Code development and their benefits.

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.

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.

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.

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.

Frontend Intelligence - A New Way of Thinking

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