Documentation¶
This folder contains examples and documentation for the Deep Java Library (DJL) project.
JavaDoc API Reference¶
Note: when searching in JavaDoc, if your access is denied, please try removing the string undefined in the url.
Demos¶
Cheat sheet¶
- How to load a model
- How to collect metrics
- How to use a dataset
- How to set log level
- Dependency Management
- Cache Management
- Memory Management
- Troubleshooting
- Inference Optimization
Jupyter notebook tutorials¶
- Beginner Jupyter Tutorial
- Run object detection with model zoo
- Load pre-trained PyTorch model
- Load pre-trained Apache MXNet model
- Transfer learning example
- Question answering example
API Examples¶
- Single-shot Object Detection example
- Train your first model
- Image classification example
- Transfer learning example
- Train SSD model example
- Bert question and answer example
- Instance segmentation example
- Pose estimation example
- Action recognition example
- Sentiment Analysis example
Engine Documentation¶
Apache MXNet¶
- Apache MXNet Gluon Importing - Apache MXNet Gluon Importing
PyTorch¶
- PyTorch Importing - Import TorchScript model
TensorFlow¶
ONNX Runtime¶
- Hybrid Engine Operations - Using an alternative full Engine for supplemental API support
Extensions and utilities¶
- Android support
- Audio support
- AWS S3 support
- NLP support with fastText
- Hadoop support
- Image support with OpenCV
- NLP support with SentencePiece
- Spark Support
- Tabular Dataset Support
- TimeSeries support
- NLP support with Huggingface Tokenizers