Deep Lake
v3.2.0
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v3.2.0
Deep Lake Docs
List of ML Datasets
Quickstart
Dataset Visualization
Storage & Credentials
API Reference
Enterprise Features
Querying Datasets
Performant Dataloader
EXAMPLE CODE
Getting Started
Tutorials (w Colab)
Creating Datasets
Training Models
Training an Image Classification Model in PyTorch
Training Models Using MMDetection
Training Models Using PyTorch Lightning
Training on AWS SageMaker
Training an Object Detection and Segmentation Model in PyTorch
Data Processing Using Parallel Computing
Playbooks
API Summary
How Deep Lake Works
Data Layout
Version Control and Querying
Tensor Relationships
Visualizer Integration
Shuffling in ds.pytorch()
Storage Synchronization
How to Contribute
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Training Models
Workflows for training models using Hub datasets (includes Colab notebooks)
Training an Image Classification Model in PyTorch
Training an Object Detection and Segmentation Model in PyTorch
Training Models Using MMDetection
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