We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters

ScholArxiv is an open-source aesthetic and minimal app that allows users to search, read, bookmark, share, download and view summaries of academic papers from the arXiv repository.

Implementation of papers in 100 lines of code.

[ICML 2024] Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance

How much is a noisy image worth? 👀

fast and simple digital painting software

A curated list for awesome discrete diffusion models resources.

Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.

Vector Quantized VAEs - PyTorch Implementation

This repo implements a Stable Diffusion model in PyTorch with all the essential components.

Code of Pyramidal Flow Matching for Efficient Video Generative Modeling

Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)

Educational implementation of the Discrete Flow Matching paper

Material related to the practical sessions and assessment of the ML module, AIMS-CDT, University of Oxford

This repo implements VQVAE on mnist and as well as colored version of mnist images. It also implements simple LSTM for generating sample numbers using the encoder outputs of trained VQVAE

JAX-based linear Einstein-Boltzmann solver for cosmology

A simple guide to diffusion models. Helpful in understanding the concept and practicing with the method.

An official pytorch implementation of "Parallel Diffusion Model of Operator and Image for Blind Inverse Problems" (CVPR 2023)

PyTorch library for solving imaging inverse problems using deep learning

Official PyTorch implementation of Video Probabilistic Diffusion Models in Projected Latent Space (CVPR 2023).

Code for Fast Training of Diffusion Models with Masked Transformers

Tiny PyTorch library for maintaining a moving average of a collection of parameters.

Minimalist implementation of VQ-VAE in Pytorch