Deep Lake
v3.2.9
GitHubActiveloop LoginSlack
Search…
⌃K
Links
v3.2.9
Deep Lake Docs
List of ML Datasets
Quickstart
Dataset Visualization
Storage & Credentials
API Reference
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 and Updating 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
Powered By GitBook

Getting Started

The comprehensive guide for learning to use Hub.

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 and Updating 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
​
Enterprise Features - Previous
Performant Dataloader
Next
Step 1: Hello World
Last modified 29d ago
Copy link