Liner.ai - Machine Learning without Code

Liner is a free tool which lets you build and deploy machine learning applications within minutes. No coding or expertise in machine learning required.

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Liner.ai - Machine Learning without Code

Introduction

What is Liner.ai?

Liner.ai is a free tool that allows users to train machine learning models without writing any code. It provides an easy way for people without machine learning expertise to create and deploy AI models using just their training data.

Key Features of Liner.ai

  • No-code machine learning - Train models without writing any code
  • Supports multiple ML project types - Image classification, text classification, object detection, etc.
  • Easy 3-step process - Import data, train model, deploy model
  • Local processing - All training happens on your own computer for data privacy
  • Optimized for speed - Models can be trained quickly, even on CPUs
  • Export options - Deploy trained models to various platforms

How to Use Liner.ai

  1. Import your training data into Liner.ai
  2. Select the type of machine learning project (e.g. image classification)
  3. Click to start training - Liner automatically selects an appropriate model
  4. Export the trained model to deploy in your application

Pricing

Liner.ai is completely free to use on both Windows and Mac computers.

Helpful Tips

  • No GPU required - Models are optimized to train quickly on standard CPUs
  • Use pre-labeled datasets if you don't have your own training data
  • Export models for use on mobile/edge devices
  • Check out the example projects for inspiration on what you can build

Frequently Asked Questions

Where does the training happen?

Training happens locally on your own computer. No data is sent to the cloud.

Do I need machine learning experience?

No, Liner.ai is designed to be intuitive for beginners with no ML expertise required.

Can I train models without a GPU?

Yes, the models are optimized to train efficiently on standard CPUs as well.

Where can I get data to train my models?

You can import your own data or use Liner's library of pre-labeled datasets.

What types of ML projects are supported?

Liner supports image classification, text classification, object detection, audio classification, video classification, image segmentation, and pose classification projects.