All Katas - ML Katas

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Building a Graph Autoencoder

this month hard (>1 hr) | autoencoder gnn graph representation gae

Implement a **Graph Autoencoder (GAE)** for graph representation learning. The encoder will use a GNN to produce node embeddings, and the decoder will reconstruct the graph's adjacency matrix from...
Training a Variational Autoencoder (VAE)

this month hard (>1 hr) | loss vae autoencoder generative kl

Implement and train a **Variational Autoencoder (VAE)** on a dataset like MNIST. The encoder should map the input to a latent space distribution (mean and variance), and the decoder should...