Deep Lake Docs

We hope you enjoy Docs for Deep Lake, the open-source Data Lake for Deep Learning by Activeloop. Deep Lake was formerly known as Activeloop Hub.

Activeloop Deep Lake - Data Lake for Deep Learning
Why Use Deep Lake?
Store images, audios, videos, and their annotations together in a data format built for AI. Save your data locally, in your cloud, or on Activeloop storage.
Rapidly train PyTorch and TensorFlow models while streaming data with no boilerplate code.
Run version control, dataset queries, and distributed workloads using a simple Python API.
Deep Lake stores data in a format optimized for access patterns used in Deep Learning applications, and data can be stored anywhere and accessed through a simple and intuitive API.
To start using Deep Lake ASAP, check out our Getting Started Colab Notebook​
In addition to Deep Lake docs, you may also check out Deep Lake's GitHub repository and give us a ⭐ if you like the project!
Join Deep Lake's Slack Community if you need help or have suggestions for improving documentation!
Deep Lake Docs Overview
Quickstart
Dataset Visualization
Storage & Credentials
Getting Started
Tutorials (w Colab)
Playbooks
API Summary
API Reference
Data Layout
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Quickstart

Last modified 14d ago

Deep Lake Docs

Activeloop Deep Lake - Data Lake for Deep Learning

Why Use Deep Lake?

To start using Deep Lake ASAP, check out our Getting Started Colab Notebook​

Deep Lake Docs Overview

To start using Deep Lake ASAP, check out our Getting Started Colab Notebook