This folder contains examples and documentation for the Deep Java Library (DJL) project.
- Beginner Jupyter Tutorial
- Run object detection with model zoo
- Load pre-trained PyTorch model
- Load pre-trained MXNet model
- Transfer learning example
- Question answering example
- Single-shot Object Detection example
- Train your first model
- Image classification example
- Transfer learning example
- Train SSD model example
- Multi-threaded inference example
- Bert question and answer example
- Instance segmentation example
- Pose estimation example
- Action recognition example
- MXNet Gluon Importing - MXNet Gluon Importing
- PyTorch Importing - Import TorchScript model
- Pytorch Inference Optimization - Improve inference performance
- Hybrid Engine Operations - Using a second Engine for supplemental API support