This is an example of how the Webpage for a finished will look like

John Doe^*1 Luzia Knödler¹ Ludwig van Beethoven^†

^*Equal contribution ¹TU Delft ^†Wien Opera House

Summary

Lorem ipsum dolor sit amet consectetur adipisicing elit. Repellat consequatur libero omnis dolore voluptatem. Sequi nesciunt veniam, ea laboriosam quas corporis quae nobis esse doloremque in aperiam excepturi dignissimos quis? Lorem ipsum dolor sit amet consectetur adipisicing elit. Sequi repudiandae vero aliquid molestias at consequatur tempore autem ullam illo provident?

This is just a place holder for an image, centered and of width of 600px. If the screen becomes smaller, it resizes automatically

You can embed youtube videos like this. Just copy the embed code from youtube (press share on a video then embed) and paste it here.

Showcase 2

Some code that explains something important. Use the highlight tag to highlight code. You can use inline code.

        import torch
    import torch.nn as nn

    class VAE(nn.Module):
      def __init__(self, input_dim, hidden_dim, latent_dim):
        super(VAE, self).__init__()
        
        self.encoder = nn.Sequential(
          nn.Linear(input_dim, hidden_dim),
          nn.ReLU(),
          nn.Linear(hidden_dim, latent_dim * 2)  # Output mean and log variance
        )
        
        return reconstructed_x, mu, log_var
    

  

Some cool math equations here. You can just use math like in latex e.g $x^2$ or $\alpha = \int_{\beta}^\gamma 1 \; dt$. For inline, use $ ... $ , for block, use \[ ... \].

\begin{aligned} \dot{x} &= \sigma(y-x) \\ \dot{y} &= \rho x - y - xz \\ \dot{z} &= -\beta z + xy \end{aligned}

Showcase 2

Conclusions

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Other title

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