Implementation of Alphafold 3 in Pytorch

"RecDiff: Diffusion Model for Social Recommendation"

This GitHub repository showcases my bachelor thesis which is focused on exploring the application and comparison of various deep generative models for synthetic image augmentation in manufacturing domain.

Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)

Implementation of the original denoising diffusion probabilistic model (DDPM) paper in PyTorch.

Medical Image Segmentation with Diffusion Model

[MICCAI2024 Early Accept] LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion

Implementation of Lumiere, SOTA text-to-video generation from Google Deepmind, in Pytorch

Diffusion based generative model to synthesize 2d images from random noise using iterative denoising.

[ICCV 2023 Oral] Official implementation for "DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion."

Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in Pytorch

Implementation of Diffusion Policy, Toyota Research's supposed breakthrough in leveraging DDPMs for learning policies for real-world Robotics

Training and sampling from a denoising diffusion model on the MNIST dataset

[ICRA 2023] Official implementation of "A generic diffusion-based approach for 3D human pose prediction in the wild".

Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space

PyTorch implementation for DDPM & DDIM

An adventure through Inpainting hidden part of vehicles with Deep Learning!

Implementation of Nvidia's NeuralPlexer, for end-to-end differentiable design of functional small-molecules and ligand-binding proteins, in Pytorch

Implementation of a holodeck, written in Pytorch

Simple Denoising Diffusion Probabilistic Model for 2d data points