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Updated remark to pre-release
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README.md

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@@ -27,7 +27,7 @@ DeepOBS automates several steps when benchmarking deep learning optimizers:
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The code for the current implementation working with **TensorFlow** can be found
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on [Github](https://github.com/fsschneider/DeepOBS).
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A PyTorch version is currently developed (see News section below).
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A PyTorch version is currently developed and can be accessed via the pre-release or the develop branch (see News section below).
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The full documentation is available on readthedocs:
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https://deepobs.readthedocs.io/
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We are currently working on a new and improved version of DeepOBS, version 1.2.0.
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It will support **PyTorch** in addition to TensorFlow, has an easier interface, and
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many bugs ironed out. You can find the latest version of it in [this branch](https://github.com/fsschneider/DeepOBS/tree/v1.2.0-beta0).
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many bugs ironed out. You can find the latest version of it in [this branch](https://github.com/fsschneider/DeepOBS/tree/develop).
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A pre-release, version 1.2.0-beta0, will be available shortly and a full release is expected in a few weeks.
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A [pre-release](https://github.com/fsschneider/DeepOBS/releases/tag/v1.2.0-beta0) is available now.
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The full release is expected in a few weeks.
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Many thanks to [Aaron Bahde](https://github.com/abahde) for spearheading the developement of DeepOBS 1.2.0.
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