learning/annotated_deep_learning_paper_implementations
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Varuna Jayasiri
2021-05-09 15:42:46 +05:30
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docs/gan/index.html
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@ -77,6 +77,7 @@
<li><a href="dcgan/index.html">GAN with deep convolutional network</a></li>
<li><a href="cycle_gan/index.html">Cycle GAN</a></li>
<li><a href="wasserstein/index.html">Wasserstein GAN</a></li>
<li><a href="wasserstein/gradient_penalty/index.html">Wasserstein GAN with Gradient Penalty</a></li>
</ul>
</div>
<div class='code'>

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docs/index.html
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@ -106,6 +106,7 @@ implementations.</p>
<li><a href="gan/dcgan/index.html">GAN with deep convolutional network</a></li>
<li><a href="gan/cycle_gan/index.html">Cycle GAN</a></li>
<li><a href="gan/wasserstein/index.html">Wasserstein GAN</a></li>
<li><a href="gan/wasserstein/gradient_penalty/index.html">Wasserstein GAN with Gradient Penalty</a></li>
</ul>
<h4>✨ <a href="sketch_rnn/index.html">Sketch RNN</a></h4>
<h4>✨ <a href="rl/index.html">Reinforcement Learning</a></h4>

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docs/sitemap.xml
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</url>
<url>
<loc>https://nn.labml.ai/gan/wasserstein/gradient_penalty/readme.html</loc>
<lastmod>2021-05-09T16:30:00+00:00</lastmod>
<priority>1.00</priority>
</url>
<url>
<loc>https://nn.labml.ai/gan/wasserstein/gradient_penalty/experiment.html</loc>
<lastmod>2021-05-09T16:30:00+00:00</lastmod>
@ -71,7 +78,7 @@
<url>
<loc>https://nn.labml.ai/gan/original/experiment.html</loc>
<lastmod>2021-05-07T16:30:00+00:00</lastmod>
<lastmod>2021-05-09T16:30:00+00:00</lastmod>
<priority>1.00</priority>
</url>

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labml_nn/__init__.py
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@ -40,6 +40,7 @@ implementations.
* [GAN with deep convolutional network](gan/dcgan/index.html)
* [Cycle GAN](gan/cycle_gan/index.html)
* [Wasserstein GAN](gan/wasserstein/index.html)
* [Wasserstein GAN with Gradient Penalty](gan/wasserstein/gradient_penalty/index.html)
#### ✨ [Sketch RNN](sketch_rnn/index.html)

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labml_nn/gan/__init__.py
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@ -11,4 +11,5 @@ summary: >
* [GAN with deep convolutional network](dcgan/index.html)
* [Cycle GAN](cycle_gan/index.html)
* [Wasserstein GAN](wasserstein/index.html)
* [Wasserstein GAN with Gradient Penalty](wasserstein/gradient_penalty/index.html)
"""

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readme.md
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@ -46,6 +46,7 @@ implementations almost weekly.
* [GAN with deep convolutional network](https://nn.labml.ai/gan/dcgan/index.html)
* [Cycle GAN](https://nn.labml.ai/gan/cycle_gan/index.html)
* [Wasserstein GAN](https://nn.labml.ai/gan/wasserstein/index.html)
* [Wasserstein GAN with Gradient Penalty](https://nn.labml.ai/gan/wasserstein/gradient_penalty/index.html)
#### ✨ [Sketch RNN](https://nn.labml.ai/sketch_rnn/index.html)