[Deprecated] while some tutorials work, they are outdated, would really appreciate contributions to update examples to Deep Lake.

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

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

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

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