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Update README.md to remove the DeepLabV3 and Stylization in-progress points and more #49

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Update README.md to remove the DeepLabV3 and Stylization in-progress points and more #49

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7 changes: 3 additions & 4 deletions README.md
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Expand Up @@ -30,12 +30,11 @@ The tutorials listed below would give you a good idea of the afore-mentioned poi
## End-to-end tutorials (in progress)
Take a look at the in progress projects to see what it's like to work on a project.

* [Deeplab V3](https://github.com/tensorflow/models/tree/master/research/deeplab ) - image segmentation. Colab Notebooks demonstrating the TFLite model conversion process for a variety of DeepLab V3 models along with running inference in Python are [available on TF Hub](https://tfhub.dev/s?module-type=image-segmentation&publisher=sayakpaul). The TFLite variants of the DeepLab V3 models are also available from the same link.
* [DeepSpeech](https://github.com/mozilla/DeepSpeech) - a very popular ASR framework.
* [`arbitrary_image_stylization` by Magenta](https://github.com/magenta/magenta/tree/f3b66aa1354cd933f0e9757a567cc9a3d2d03297/magenta/models/arbitrary_image_stylization) - art generation. Colab Notebooks demonstrating TFLite model conversion process along with inference in Python are [available on TF Hub](https://tfhub.dev/sayakpaul/lite-model/arbitrary-image-stylization-inceptionv3/dr/predict/1). The TFLite models can be downloaded from the same link.
* [DeepSpeech](https://github.com/mozilla/DeepSpeech) - a very popular ASR framewor - [project repo](https://github.com/AbdulRashidReshamwala/DeepSpeech_demo).
* Enhanced super res GAN - [project repo](https://github.com/margaretmz/esrgan-e2e-tflite-tutorial).
* Speech Command - [overview](overviews/speech_command.md).
* TTS TFLite Models(Tacotron2, FastSpeech2, MelGAN...) - [Project Repository](https://github.com/tulasiram58827/TTS_TFLite)
* TTS TFLite Models (Tacotron2, FastSpeech2, MelGAN...) - [project repo](https://github.com/tulasiram58827/TTS_TFLite).
* Boundless model for image extrapolation - [project notebook](https://github.com/sayakpaul/Adventures-in-TensorFlow-Lite/blob/master/Boundless_TFLite.ipynb).


## End-to-end tutorials (completed)
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