seungjunlee96/lightning-generative-models
PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models
This project helps machine learning engineers and researchers quickly set up and experiment with various deep generative models, like GANs, VAEs, and Diffusion Models. It takes in configuration settings for model training and outputs trained models capable of generating new data (e.g., images) as well as comprehensive experiment logs and evaluation metrics. The primary users are machine learning practitioners focused on developing and fine-tuning generative AI applications.
No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher who needs a streamlined way to implement, train, and track experiments for different types of generative models.
Not ideal if you are a non-technical user looking for a ready-to-use application to generate specific content without any machine learning development.
Stars
35
Forks
5
Language
Python
License
—
Category
Last pushed
Jun 04, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/seungjunlee96/lightning-generative-models"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
quantgirluk/aleatory
📦 Python library for Stochastic Processes Simulation and Visualisation
blei-lab/treeffuser
Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression...
TuftsBCB/RegDiffusion
Diffusion model for gene regulatory network inference.
yuanchenyang/smalldiffusion
Simple and readable code for training and sampling from diffusion models
chairc/Integrated-Design-Diffusion-Model
IDDM (Industrial, landscape, animate, latent diffusion), support LDM, DDPM, DDIM, PLMS, webui...