A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)
☆311Sep 4, 2024Updated last year
Alternatives and similar repositories for minimal-diffusion
Users that are interested in minimal-diffusion are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch reimplementation of Diffusion Models☆585Jan 15, 2023Updated 3 years ago
- A PyTorch reimplementation of Local Implicit Grid Representations for 3D Scenes☆17Jul 21, 2021Updated 5 years ago
- Unconditional music synthesis using a diffusion model in the STFT domain☆12May 31, 2022Updated 4 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Apr 15, 2024Updated 2 years ago
- A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.☆1,012May 7, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A minimal implementation of a denoising diffusion model in PyTorch.☆135Dec 5, 2025Updated 7 months ago
- Self-contained, minimalistic implementation of diffusion models with Pytorch.☆1,192Jun 28, 2022Updated 4 years ago
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Jun 12, 2023Updated 3 years ago
- denoising diffusion models, as simple as possible☆171Nov 8, 2022Updated 3 years ago
- Fork of Flame repo for training of some new stuff in development☆20Updated this week
- Implementation of Denoising Diffusion Probabilistic Model in Pytorch☆10,647Feb 11, 2026Updated 5 months ago
- Official implementation of Cold-Diffusion for different transformations in pytorch.☆1,135Oct 13, 2022Updated 3 years ago
- A collection of resources and papers on Diffusion Models☆12,358Aug 1, 2024Updated last year
- ☆7,403Jul 2, 2024Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Official PyTorch Implementation of "Don't Play Favorites: Minority Guidance for Diffusion Models" (ICLR 2024)☆26May 5, 2025Updated last year
- [CVPR 2024] This repository includes the official implementation our paper "Revisiting Adversarial Training at Scale"☆20Apr 21, 2024Updated 2 years ago
- dmps code☆41Jan 24, 2024Updated 2 years ago
- Official code for "Stochastic Localization via Iterative Posterior Sampling"☆13May 2, 2025Updated last year
- A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch☆720Nov 12, 2022Updated 3 years ago
- Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.☆13Jun 10, 2019Updated 7 years ago
- Elucidating the Design Space of Diffusion-Based Generative Models (EDM)☆1,982Mar 16, 2024Updated 2 years ago
- Collection of tutorials on diffusion models, step-by-step implementation guide, scripts for generating images with AI, prompt engineering…☆180Apr 21, 2026Updated 2 months ago
- Official code for "IT³: Idempotent Test-Time Training" (ICML 2025)☆15Jun 25, 2025Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- An implementation of simple diffusion in PyTorch (and JAX)☆34Jan 28, 2023Updated 3 years ago
- A Closer Look at Accuracy vs. Robustness☆88May 17, 2021Updated 5 years ago
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆37Jun 27, 2023Updated 3 years ago
- Using pre-trained Diffusion models as priors for inference tasks☆212Feb 9, 2023Updated 3 years ago
- Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch☆1,384May 3, 2024Updated 2 years ago
- A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms☆143Apr 20, 2022Updated 4 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Dec 21, 2023Updated 2 years ago
- TensorFlow implementation of "Finite Scalar Quantization: VQ-VAE Made Simple" (ICLR 2024)☆21Dec 3, 2023Updated 2 years ago
- Implementation of Denoising Diffusion Probabilistic Models in PyTorch☆405Jun 14, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Release for Improved Denoising Diffusion Probabilistic Models☆3,837Jul 18, 2024Updated 2 years ago
- ☆15Jul 24, 2022Updated 3 years ago
- Accelerating Diffusion Models via Early Stop of the Diffusion Process☆38May 30, 2022Updated 4 years ago
- Denoising Masked Autoencoders Help Robust Classification.☆67Jun 4, 2023Updated 3 years ago
- Improved diffusion generative models with subspaces☆135Jun 1, 2022Updated 4 years ago
- Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion☆705Mar 27, 2023Updated 3 years ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Oct 17, 2022Updated 3 years ago