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@ -95,7 +95,7 @@ Microsoft contributing libraries, tools, recipes, sample codes and workshop cont
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- [VERSEAGILITY](https://github.com/microsoft/verseagility) - a Python-based toolkit to ramp up your custom natural language processing (NLP) task, allowing you to bring your own data and bring models into production. It is a central component of the Microsoft Data Science Toolkit.
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- [DPU Utilities](https://github.com/Microsoft/dpu-utils) - Utilities used by the Deep Program Understanding team.
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- [KEAR](https://github.com/microsoft/KEAR) - Official code for achieving human parity on CommonsenseQA with External Attention.
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- [Prompt Engine](https://github.com/microsoft/prompt-engine-py) - A utility library for creating and maintaining prompts for Large Language Models.
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### Online Machine Learning
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- [Vowpal Wabbit](https://vowpalwabbit.org/) - fast, efficient, and flexible online machine learning techniques for reinforcement learning, supervised learning, and more.
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@ -187,6 +187,8 @@ Microsoft contributing libraries, tools, recipes, sample codes and workshop cont
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- [MIND : Microsoft News Dataset](https://msnews.github.io/) - a large-scale dataset for news recommendation research.
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- [Dataset for AI for Earth](https://github.com/microsoft/AIforEarthDataSets) - AIForEarthDataSets is a collection of datasets for AI research.
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- [ORBIT](https://github.com/microsoft/ORBIT-Dataset) - a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone.
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- [EcoFlows](https://github.com/microsoft/Ecoflow) - Community-representation to collaborate on labelled AI data for ecological and agricultural scenarios in APAC, updated monthly.
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### Debug & Benchmark
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- [tensorwatch](https://github.com/microsoft/tensorwatch) - debugging, monitoring and visualization for python machine learning and data science.
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