darioShar/pytorch-md4
Pytorch Implementation of MD4: Simplified and Generalized Masked Diffusion for Discrete Data
This project offers a straightforward way for machine learning researchers and practitioners to experiment with a novel generative model called MD4. It takes discrete datasets, like binary images, and learns to create new, similar data from scratch. The output consists of newly generated samples that resemble the training data, allowing for exploration of data distribution and synthesis.
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Use this if you are a machine learning researcher or engineer working with discrete data and want to explore generative modeling using a simplified diffusion process.
Not ideal if you need to generate continuous data, work with extremely large-scale datasets, or are looking for a pre-trained model for immediate real-world application without custom training.
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Python
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Last pushed
Feb 05, 2025
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