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Implementation of Differentiable Diffusion Probabilistic Models (DDPM) for image generation on the MNIST dataset using PyTorch.

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DDPM PyTorch Implementation

This project is part of the IFT 6135B - H2024 course under Prof. Aaron Courville. This repository contains the implementation of Differentiable Diffusion Probabilistic Models (DDPM) for generating images on the MNIST dataset using PyTorch.

Sample Images Generated by Each Epoch

Epoch 0 Epoch 1 Epoch 2 Epoch 3 Epoch 4
Epoch 5 Epoch 6 Epoch 7 Epoch 8 Epoch 9
Epoch 10 Epoch 11 Epoch 12 Epoch 13 Epoch 14
Epoch 15 Epoch 16 Epoch 17 Epoch 18 Epoch 19

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Implementation of Differentiable Diffusion Probabilistic Models (DDPM) for image generation on the MNIST dataset using PyTorch.

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