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@@ -18,6 +18,19 @@ The aim of this project is to provide a complete solution for generating synthet
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## Getting Started
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The following is a summary of the common applications scenarios of Genalog. Please refer the [Jupyter notebook examples](https://github.com/microsoft/genalog/blob/master/example) that make use of the core code base of Genalog and repository utilities.
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### TLDR
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If you are interested in a full document generation and degration pipeline, please see the following notebook:
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||Description|Indepth Jupyter Notebook Examples|
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|-|-------------------------|--------|
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|1|Analog Document Generation Pipeline|[Demo Notebook](https://github.com/microsoft/genalog/blob/master/example/generation_pipeline.ipynb)|[Here is guide to the core components](https://github.com/microsoft/genalog/blob/master/genalog/README.md)|
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Else we have in-depth walkthroughs of each of the module in Genalog.
|1|Create Template for Image Generation|[Demo Notebook](https://github.com/microsoft/genalog/blob/master/example/document_generation.ipynb)|[Here is our guide to Document Generation](https://github.com/microsoft/genalog/blob/master/genalog/generation/README.md)|
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We also provide notebooks for the complete end-to-end scenario of generating a synthetic dataset connecting all the components of genalog:
|1|Synthetic Dataset Generation with LABELED NER Dataset|[Demo Notebook](https://github.com/microsoft/genalog/blob/master/example/dataset_generation.ipynb)|
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|2|Synthetic Dataset Batch Generation with Varying Degradation|[Demo Notebook](https://github.com/microsoft/genalog/blob/master/example/batch_dataset_generation.ipynb)|
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