Material Classification with Convolutional Networks in PyTorch
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Updated
Dec 28, 2020 - Python
Material Classification with Convolutional Networks in PyTorch
Repository for the Exposing Outlier Exposure paper
PyTorch implementation for "Gated Transfer Network for Transfer Learning"
Semantic Segmentation for the Describable Textures Dataset (DTD)
Serialized Python Data Classes generated from the XMLTV's official XSD's/DTD's.
3-Address Code Interpreter | Principles of Programming Languages - FIT Brno University of Technology
This project demonstrates how to create, validate, and manage XML files using Python. It includes examples of an XML file, along with its corresponding DTD (Document Type Definition) and XSD (XML Schema Definition) files. The project also contains Python scripts to create an XML file and to validate the XML file against its DTD and XSD.
Generate a framework of reStructuredText pages for a DTD documentation.
Simple parser for modified basicDTD LL(1) grammar written in Python
This program creates a DTD grammar from an XML file
Add a description, image, and links to the dtd topic page so that developers can more easily learn about it.
To associate your repository with the dtd topic, visit your repo's landing page and select "manage topics."