Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
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Updated
Oct 4, 2020 - Python
Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
🚀 PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"
Implementation of Denoising Diffusion Probabilistic Models in PyTorch
Python code for Colab for training the denoising diffusion model with Pytorch. Made with @PhilipTamb
Implementation of the DDPM + IPA (invariant point attention) for protein generation, as outlined in the paper "Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models"
Simple diffusion implementation for binary-valued data using a Bernoulli distribution instead of a Gaussian.
Implement a MNIST(also minimal) version of denoising diffusion probabilistic model from scratch.The model only has 4.55MB.
Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch
Trainer for audio-diffusion-pytorch
Implementation of diffusion models in pytorch for custom training.
Custom implementation of the denoising task to generate dog faces 🐶 (experiment)
Implementation of Denoising Diffusion Probabilistic Model from Scratch for Image Generation Task in PyTorch
Experiment with latent diffusion models.
Audio generation using diffusion models, in PyTorch.
GeoSSL: Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching, ICLR'23 (https://openreview.net/forum?id=CjTHVo1dvR)
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.
Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch
Implementation of a holodeck, written in Pytorch
Implementation of Nvidia's NeuralPlexer, for end-to-end differentiable design of functional small-molecules and ligand-binding proteins, in Pytorch
PyTorch implementation for DDPM & DDIM
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