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  • Deep Lake Docs
  • List of ML Datasets
  • Quickstart
  • Dataset Visualization
  • Storage & Credentials
  • API Reference
    • Querying Datasets
    • Performant Dataloader
  • Getting Started
    • Step 1: Hello World
    • Step 2: Creating Deep Lake Datasets
    • Step 3: Understanding Compression
    • Step 4: Accessing Data
    • Step 5: Visualizing Datasets
    • Step 6: Using Activeloop Storage
    • Step 7: Connecting Deep Lake Datasets to ML Frameworks
    • Step 8: Parallel Computing
    • Step 9: Dataset Version Control
    • Step 10: Dataset Filtering
  • Tutorials (w Colab)
  • Playbooks
  • API Summary
    • Data Layout
    • Version Control and Querying
    • Tensor Relationships
    • Visualizer Integration
    • Shuffling in ds.pytorch()
    • Storage Synchronization
    • How to Contribute
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For the complete documentation index, see llms.txt. This page is also available as Markdown.
  1. v3.1.0

Getting Started

The comprehensive guide for learning to use Hub.

Our Getting Started guide is also available as a Colab Notebook

Step 1: Hello WorldStep 2: Creating Deep Lake DatasetsStep 3: Understanding CompressionStep 4: Accessing DataStep 5: Visualizing DatasetsStep 6: Using Activeloop StorageStep 7: Connecting Deep Lake Datasets to ML FrameworksStep 8: Parallel ComputingStep 9: Dataset Version ControlStep 10: Dataset Filtering

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Last updated 3 years ago

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