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Table of Contents:
  • Core Concepts
  • Workload Management
  • valohai.yaml - Config File
  • valohai-cli - Command-line Client
  • Jupyhai - Jupyter Notebooks with Valohai
  • Valohai API for Automation
  • Docker Images
  • Access Private Docker Repositories
  • Running Valohai Inside Your Own Cloud or On-premise Environment
  • Architecture Overview
  • Frequently Asked Questions
  • Tutorials
    • Valohai Quickstart 🦈✨
    • Onboard your team
    • Advanced topics
    • Connect to a cloud storage
    • Connect to a code repository
    • Migrating existing Python projects to Valohai
    • Building Docker Images
    • Access additional git repository during execution runs
    • Valohai API samples to automate your workflow
    • Using with Airflow Pipelines
    • Integrating with Azure Active Directory
    • Quickstarts
      • Jupyter Notebooks with Valohai
      • Quick Start - TensorFlow Example (MNIST)
      • Quick Start - Keras Example (Deep Dream)
      • Quick Start - R Example
      • Quick Start - Command-line Client
      • Quick Start - API Automation
/ Tutorials

QuickstartsΒΆ

If you wish to understand Valohai without running anything yourself, read about the core concepts.

If you wish to get your hands dirty, you can get a feeling for the platform with these quickstarts:

  • Jupyter Notebooks with Valohai
    • Quick Start - Jupyter Notebooks (MNIST)
    • Quick Start - Hosted Jupyter Notebooks (MNIST)
  • Quick Start - TensorFlow Example (MNIST)
  • Quick Start - Keras Example (Deep Dream)
  • Quick Start - R Example
  • Quick Start - Command-line Client
  • Quick Start - API Automation
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