AshishKumar4/FlaxDiff
A simple, easy-to-understand library for diffusion models using Flax and Jax. Includes detailed notebooks on DDPM, DDIM, and EDM with simplified mathematical explanations. Made as part of my journey for learning and experimenting with generative AI.
This project helps machine learning practitioners and researchers understand and implement advanced generative AI models, specifically diffusion models. It provides easy-to-understand tools and comprehensive notebooks to go from mathematical concepts to working code, generating impressive images from noise. Anyone looking to learn about or experiment with generative AI, particularly diffusion models, would find this useful.
Use this if you are an AI researcher or machine learning engineer looking to understand, implement, and experiment with diffusion models in an accessible way.
Not ideal if you are looking for a highly optimized, production-ready library for large-scale generative AI applications where performance is the absolute priority.
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Jupyter Notebook
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Last pushed
Mar 07, 2026
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