SAS Deep Learning Python (DLPy)

DLPy is a high-level Python library for the SAS Deep Learning features available in SAS^® Viya^®. DLPy provides a convenient way to apply deep learning functionalities to solve computer vision, NLP, forecasting and speech processing problems.

DLPy features include the following:

Read in and build deep learning models for image, text, audio and time series data.
- High-level APIs for:
- Deep neural networks for tabular data.
- Image classification and regression.
- Object detection.
- RNN-based tasks – text classification, text generation and sequence labeling.
- RNN-based time series processing and modeling.

Processing audio files and training deep learning algorithms to create a language model for speech recognition applications.
Predefined network architectures such as LeNet, VGG, ResNet, DenseNet, Darknet, Inception and YoloV2 and Tiny_Yolo. And many are provided with pre-trained weights!
Enhanced data visualization such as heat maps and feature maps to aid in the interpretation of deep learning computer vision models.
Import and export deep learning models in ONNX format.

DLPy can be used from Jupyter Notebook, JupyterLab, or from any Python console/scripting environment.

DLPy is open source and available on GitHub and PyPI. User contributions are accepted.