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Deep Lake Docs
List of ML Datasets
Quickstart
Dataset Visualization
Storage & Credentials
- Storage Options
- Managed Credentials
  Enabling CORS
  Provisioning Role-Based Access
API Reference
Enterprise Features
- Querying Datasets
  - Sampling Datasets
- Performant Dataloader
EXAMPLE CODE
Getting Started
Tutorials (w Colab)
Playbooks
API Summary
How Deep Lake Works

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Getting Started

The comprehensive guide for learning to use Hub.

PreviousPerformant Dataloader NextStep 1: Hello World

Last updated 2 years ago

Our Getting Started guide is also available as a Colab Notebook

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