A demo of how Generative Diffusion Models work considering the DDPM implementation. This demo is an addon for my Bayesian Statistics course's final report - academic year 2023/2024

An homage to Tian Shu (天书) by Xu Bing using machine learning

A PyTorch-based repository for training and experimenting with diffusion models on the MNIST dataset. It includes a customizable U-Net model, various neural network blocks, and training scripts with optional TensorBoard integration for monitoring the training process and results.

Official PyTorch implementation of the CVPRW 2023 paper

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Reimplementation of DDPM

NYCU Deep Learning and Practice Summer 2023

The torchmanager implementation for diffusion models.

This repository encompasses a comprehensive research of Denoising Diffusion Probabilistic Models (DDPM) for Biomaterial Discovery. Our research delves into the generation of intricate biomaterial topographies through the innovative application of AI/ML techniques. Discover our findings, code implementations and datasets in this repository!

DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation - MICCAI 2023 PRIME Workshop

Sandbox to play with DDPM

This repository contains my final submission for the COMP3547 Deep Learning module assignment at Durham University in the academic year 2022/2023. The project focuses on diffusion-based models and their application in synthesising new, unique images, which could plausibly come from a training data set. Final grade received was 71/100.

NYCU DLP 2023

PyTorch implementation of 'SDEdit' (Meng et al., 2021) from scratch and applying it to 'DDPM' on CelebA at 64 × 64

Implementation of a simple Diffusion model on Sprite dataset with PyTorch library

Code repo for NTUA DSML MSc thesis

Full-dose Whole-body PET Synthesis from Low-dose PET using Consistency Model