François Chollet on Twitter: "There are many cool Keras community projects on GitHub, like Keras-yolov3, Keras Retinanet, Keras GAN, Keras-RL, etc, but they all seem to be built on top of multi-backend Keras. What some some projects you like (or make) that use tf.keras with TF 2.0?"

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1. dibya‏ @dIbYa1712 7 Apr 2020
  Replying to @fchollet
  
  It’s really hard to find tf.keras, I guess it’s going to take some time for that
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1. Aakash Kumar Nain‏ @A_K_Nain 7 Apr 2020
  Replying to @fchollet
  
  I am building the retinanet in tf.keras but it will take some time because I am cooking myself nowadays
  
  17 likes
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1. Giovanni Pellegrini‏ @gevero 7 Apr 2020
  Replying to @fchollet
  
  An implementation of Enet for real time semantic segmentation:https://github.com/gevero/enet_tensorflow …
  
  6 likes
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1. Piero Molino‏ @w4nderlus7 7 Apr 2020
  Replying to @fchollet
  
  Ludwig is being ported to TF2 using Keras layers in eager mode: https://github.com/uber/ludwig/tree/tf2_porting?files=1 …
  
  9 likes
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1. devis peressutti‏ @DPeressutti 7 Apr 2020
  Replying to @fchollet
  
  eo-flow, for classification of earth observation images and time serieshttps://github.com/sentinel-hub/eo-flow …
  
  9 likes
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1. Koushik‏ @koushik_here 7 Apr 2020
  Replying to @fchollet
  
  https://github.com/sicara/tf-explain …
  
  2 likes
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1. Jos van de Wolfshaar‏ @jvandewolfshaar 7 Apr 2020
  Replying to @fchollet
  
  I've worked on libspn-keras for building Sum-Product Networks: http://github.com/pronobis/libspn-keras … Which is based on TF 2.0. I've used some (afaik) unique tf specific features like gradient overrides to achieve EM learning while using Keras' .fit for these models :)
  
  9 likes
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1. Siavash Khodadadeh‏ @SKhodadadeh 7 Apr 2020
  Replying to @fchollet
  
  https://github.com/siavash-khodadadeh/MetaLearning-TF2.0 … We are applying meta-learning on Keras models with TF2. Soon, we will release new updates which handle large models and a lot more datasets.
  
  2 likes
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