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Deep Lake Docs
We hope you enjoy Docs for Deep Lake.
- Store images, audios, videos, text and their metadata (i.e. annotations) in a data format optimized for Deep Learning. Save the data locally, in your cloud, or on Activeloop storage.
- Rapidly train PyTorch and TensorFlow models while streaming data with no boilerplate code.
- Run version control, dataset queries, and distributed workloads using a simple Python API.
Deep Lake Architecture for Inference and Model Development Applications.