Deep Lake
v3.7.0
API Reference
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Deep Lake Docs
Vector Store Quickstart
Deep Learning Quickstart
Storage & Credentials
List of ML Datasets
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High-Performance Features
Introduction
Performant Dataloader
Tensor Query Language (TQL)
Index for ANN Search
Managed Tensor Database
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EXAMPLE CODE
Getting Started
Tutorials (w Colab)
Playbooks
Querying, Training and Editing Datasets with Data Lineage
Evaluating Model Performance
Training Reproducibility Using Deep Lake and Weights & Biases
Working with Videos
Low-Level API Summary
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Technical Details
Best Practices
Data Layout
Version Control and Querying
Dataset Visualization
Tensor Relationships
Visualizer Integration
Shuffling in dataloaders
How to Contribute
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Playbooks
How to perform complex workflows using Deep Lake.
Playbooks are comprehensive examples of end-to-end workflows using Activeloop products
Querying, Training and Editing Datasets with Data Lineage
Evaluating Model Performance
Training Reproducibility Using Deep Lake and Weights & Biases
Working with Videos
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Concurrency Using Zookeeper Locks
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Querying, Training and Editing Datasets with Data Lineage
