diffusion_models
DiffusionFastForward
| diffusion_models | DiffusionFastForward | |
|---|---|---|
| 4 | 3 | |
| 152 | 506 | |
| 0.0% | - | |
| 0.0 | 4.4 | |
| almost 2 years ago | 11 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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diffusion_models
- [Variational and Diffusion Methods] Minimal standalone example of diffusion model
- A minimal standalone example of diffusion model
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(unguided) Sampling from a diffusion model
I'm trying to figure out a way to reproduce the sampling method used in the DDPM model arxiv link. The codebase link is roughly here for the original model and for improved DDPMs here. There is also implementations recently posted to r/MachineLearning such as this one (check the reverse process section) and finally this last one.
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[P] Hands on diffusion models
A minimal example of the forward and reverse flow of diffusion models with equations from the paper and visualizations alongside the code: https://github.com/InFoCusp/diffusion_models I coded it up since I wanted to familiarize myself with rhe end to end flow. It uses a simple 2d dataset that can train within minutes. Hope others on this subreddit find it useful.
DiffusionFastForward
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Using Stable Diffusion's training method for Reverse engineering?
I can recommend this open-source course I made for understanding the details of denoising diffusion for images https://github.com/mikonvergence/DiffusionFastForward
- [R] Training Small Diffusion Model
- [P] A minimal framework for image diffusion (including high-resolution)
What are some alternatives?
nlpaug - Data augmentation for NLP
dino-diffusion - Bare-bones diffusion model code
score_sde_pytorch - PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Self-Attention-Guidance - Official implementation of the paper "Improving Sample Quality of Diffusion Models Using Self-Attention Guidance" (ICCV 2023)
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch - [ECCV 2022] Compositional Generation using Diffusion Models
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
blended-latent-diffusion - Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]
Reinforcement-Learning - Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
seed-alchemy - Frontend UI and Backend Server for Stable Diffusion models