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Implement a Neural Ordinary Differential Equation
### Description Instead of modeling a function directly, a Neural ODE models its derivative with a neural network. The output is then found by integrating this derivative over time. [1] Your task...
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Differentiable Additive Synthesizer
### Description Differentiable Digital Signal Processing (DDSP) is a technique that combines classic signal processing with deep learning by making the parameters of synthesizers learnable via...
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Neural Cellular Automata (NCA) Update Step
### Description Neural Cellular Automata (NCA) are a fascinating generative model where complex global patterns emerge from simple, local rules learned by a neural network. [1] A grid of "cells,"...
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Normalizing Flow for Density Estimation
### Description Implement a simple 2D Normalizing Flow model. Normalizing Flows transform a simple base distribution (like a Gaussian) into a more complex distribution by applying a sequence of...
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Custom `DataLoader` for On-the-Fly Image Generation
Create a **custom `torch.utils.data.Dataset`** that doesn't load data from disk. Instead, the `__getitem__` method should **generate** an image on the fly (e.g., a simple geometric shape, a random...