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Microsoft projects adopt the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ.
This repo contains code for the parser to extract data from .tm7 and .tb7 files. The project can by consumed as a NuGet package that parses .tm7 and .tm7 files or as a cross-platform CLI tool.
Azure tools for Java, including Azure Toolkits for Eclipse, IntelliJ and related projects.
ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.
Batch Inference Toolkit(batch-inference) is a Python package that batches model input tensors coming from multiple users dynamically and transparently, executes the model, un-batches output tensors and then returns them back to each user respectively. This will improve system throughput because of a better cache locality.
