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  • Deep Lake Docs
  • List of ML Datasetsarrow-up-right
  • Quickstart
  • Dataset Visualization
  • Storage & Credentials
  • API Referencearrow-up-right
  • Enterprise Features
    • Querying Datasets
    • Performant Dataloader
  • EXAMPLE CODE
  • 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
  • How Deep Lake Works
    • Data Layout
    • Version Control and Querying
    • Tensor Relationships
    • Visualizer Integration
    • Shuffling in ds.pytorch()
    • Storage Synchronization
    • How to Contribute
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Getting Started

The comprehensive guide for learning to use Hub.

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Our Getting Started guide is also available as a Colab Notebookarrow-up-right

Step 1: Hello Worldchevron-rightStep 2: Creating Deep Lake Datasetschevron-rightStep 3: Understanding Compressionchevron-rightStep 4: Accessing Datachevron-rightStep 5: Visualizing Datasetschevron-rightStep 6: Using Activeloop Storagechevron-rightStep 7: Connecting Deep Lake Datasets to ML Frameworkschevron-rightStep 8: Parallel Computingchevron-rightStep 9: Dataset Version Controlchevron-rightStep 10: Dataset Filteringchevron-right

PreviousPerformant Dataloaderchevron-leftNextStep 1: Hello Worldchevron-right

Last updated 3 years ago

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