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README.md

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@@ -55,10 +55,7 @@ while ensuring maximum control and simplicity
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- [Documentation](#documentation)
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- [Structure](#structure)
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- [Examples](#examples)
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* [MNIST Example](#mnist-example)
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* [Tutorials](#tutorials)
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* [Distributed CIFAR10 Example](#distributed-cifar10-example)
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* [Other Examples](#other-examples)
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* [Reproducible Training Examples](#reproducible-training-examples)
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- [Communication](#communication)
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- [Contributing](#contributing)
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- [Quick Start Guide: Essentials of getting a project up and running](https://pytorch.org/ignite/quickstart.html)
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- [Concepts of the library: Engine, Events & Handlers, State, Metrics](https://pytorch.org/ignite/concepts.html)
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- [Full-featured template examples for common tasks]() <!-- TODO -->
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- [Full-featured template examples for common tasks]() (coming soon ...)
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<!-- ############################################################################################################### -->
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Inspired by [torchvision/references](https://github.com/pytorch/vision/tree/master/references),
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we provide several reproducible baselines for vision tasks:
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- [ImageNet](examples/references/classification/imagenet) - logs on Ignite Trains server coming soon
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- [Pascal VOC2012](examples/references/segmentation/pascal_voc2012) - logs on Ignite Trains server coming soon
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- [ImageNet](examples/references/classification/imagenet) - logs on Ignite Trains server coming soon ...
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- [Pascal VOC2012](examples/references/segmentation/pascal_voc2012) - logs on Ignite Trains server coming soon ...
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Features:
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