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, vectors, and their metadata (i.e. annotations) in a data format optimized for Deep Learning. 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.

To start using Deep Lake ASAP, check out our Quickstart or Getting Started guides

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

pageQuickstartpageDataset VisualizationpageStorage & CredentialspageGetting StartedpageTutorials (w Colab)pagePlaybookspageBest PracticespageAPI Summary

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