Examples
Examples for quickly getting started using Deep Lake! https://activeloop.ai/
Install / Use
/learn @activeloopai/ExamplesREADME
[Deprecated] while some tutorials work, they are outdated, would really appreciate contributions to update examples to Deep Lake.
<img src="https://static.scarf.sh/a.png?x-pxid=bc3c57b0-9a65-49fe-b8ea-f711c4d35b82" /><p align="center"> <img src="https://i.postimg.cc/rsjcWc3S/deeplake-logo.png" width="300"/> </br> <h1 align="center">Examples for <a href="https://github.com/activeloopai/deeplake">Deep Lake</a> - Dataset Format for AI
</h1>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 | 
|
| 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:
- AgriTech
- Audio processing
- Autonomous Vehicles & Robotics
- Biomedical and Healthcare ML
- Multimedia: Image enhancement, video enhancement, face detection, sports analytics, or machine learning for AR/VR
- 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.
