Tracto.ai examples

Welcome to this guide on working with Tracto.ai Jupyter notebooks! These notebooks demonstrate how to use Tracto.ai functionality through practical examples.

Overview

This repository contains example Jupyter notebooks showing different use cases and features of Tracto.ai:

• Machine learning examples using Tracto.ai and PyTorch
  • Training
  • Inference
• Data preparation and analysis
• Managing files, documents and tables
• Uploading and manipulating data
• Administration and management tasks

Getting started

Please refer to the official Docker installation documentation: https://docs.docker.com/get-docker/

To run the example notebooks:

1. Clone repository git clone https://github.com/tractoai/tracto-examples.git
2. Set required environment variables in your shell (you need access to Tracto.ai platform):

   export YT_TOKEN=<your_token>
   export YT_PROXY=<proxy_address>

3. Run docker-compose from the repository root:

   docker-compose up

4. Open the provided Jupyter URL in your browser: http://localhost:8888