Deep Lake API Reference

Deep Lake is an open-source database for AI. This page contains the Deep Lake API reference, mostly focusing on codebase documentation. For tutorials, code examples, and high-level information, please check out the Deep Lake Docs.

Getting Started

• Installation

Key Concepts

• Datasets
  • Creating Datasets
  • Loading Datasets
  • Deleting and Renaming Datasets
  • Copying Datasets
  • Dataset Operations
  • Dataset Visualization
  • Dataset Credentials
  • Dataset Properties
  • Dataset Version Control
  • Dataset Views
• Vector Store
  • Creating a Deep Lake Vector Store
  • Vector Store Operations
  • Vector Store Properties
• Tensors
  • Creating Tensors
  • Deleting and Renaming Tensors
  • Adding and deleting samples
  • Retrieving samples
  • Tensor Properties
  • Info
  • Video features
• Htypes
  • Image Htype
  • Video Htype
  • Audio Htype
  • Class Label Htype
  • Tag Htype
  • Bounding Box Htype
  • 3D Bounding Box Htype
  • Intrinsics Htype
  • Segmentation Mask Htype
  • Binary Mask Htype
  • COCO Keypoints Htype
  • Point Htype
  • Polygon Htype
  • Nifti Htype
  • Point Cloud Htype
  • Mesh Htype
  • Embedding Htype
  • Sequence htype
  • Link htype
• Compressions
  • Sample Compression
  • Chunk Compression
• PyTorch and Tensorflow Support
• Utility Functions
  • General Functions
  • Making Deep Lake Samples
  • Parallelism

Integrations

• Weights and Biases
  • Logging Dataset Creation
  • Logging Dataset Read
• MMDetection

High-Performance Features

• Dataloader
• Sampler
• Tensor Query Language
• Random Split
• Deep Memory

API Reference

• deeplake
• deeplake.VectorStore
• deeplake.core
• deeplake.core.dataset
• deeplake.core.tensor
• deeplake.api
• deeplake.auto
• deeplake.util
• deeplake.client.log
• deeplake.core.transform
• deeplake.core.vectorstore.deep_memory
• deeplake.random.seed

Indices and tables

• Index

• Module Index

• Search Page