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Examples for quickly getting started using Deep Lake! https://activeloop.ai/

[Deprecated] while some tutorials work, they are outdated, would really appreciate contributions to update examples to Deep Lake.

Examples for Deep Lake - Dataset Format for AI

A repository showcasing examples of using Deep Lake

  • Uploading Dataset Places365
  • Notebook on uploading COCO
  • Training a model using Pytorch Lightning
  • Augmentation using Albumentations
  • Run Deep Lake on MinIO (local S3)
  • Computer Vision Transformation pipeline on Cifar

Colab Tutorials

Notebook Link
Getting Started with Deep Lake Open In Colab
Creating Object Detection Datasets Open In Colab
Creating Complex Detection Datasets Open In Colab
Data Processing Using Parallel Computing Open In Colab
Training an Image Classification Model in PyTorch Open In Colab
Creating Time-Series Datasets Open In Colab

Machine Learning teams can apply Activeloop's data infrastructure to ship their models fast in the following use cases:

  1. AgriTech
  2. Audio processing
  3. Autonomous Vehicles & Robotics
  4. Biomedical and Healthcare ML
  5. Multimedia: Image enhancement, video enhancement, face detection, sports analytics, or machine learning for AR/VR
  6. Safety & Security: surveillance machine learning with biometrics, facial recognition, or crowd counting

Documentation

Getting started guides, examples, tutorials, API reference, and other usage information can be found on our documentation page.