KiUngSong/Toy-Diffusion-Models
Introductive implementations of diffusion models on 2D Toy datasets and MNIST.
This project offers introductory implementations of diffusion models to help you understand how these generative AI techniques work. You can input simple 2D toy datasets or the MNIST handwritten digit dataset, and it will output newly generated data points or digits that mimic the original distribution. This is ideal for students, researchers, or anyone learning the fundamentals of diffusion models.
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Use this if you are studying or teaching the core concepts of diffusion models and want to see them applied to straightforward datasets.
Not ideal if you need to apply diffusion models to complex, high-dimensional real-world data or for production-ready applications.
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Python
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Last pushed
Oct 27, 2023
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