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
pageQuickstartpageDataset VisualizationpageStorage & CredentialspageGetting StartedpageTutorials (w Colab)pagePlaybookspageAPI SummarypageData LayoutLast updated