smalldiffusion and minimal-text-diffusion
About smalldiffusion
yuanchenyang/smalldiffusion
Simple and readable code for training and sampling from diffusion models
This is for machine learning researchers and practitioners who want to rapidly experiment with diffusion models. It helps you quickly set up, train, and sample from various diffusion models, whether you're working with simple datasets or state-of-the-art models like Stable Diffusion. You input your dataset and chosen model/schedule parameters, and it outputs generated samples and insights into model performance.
About minimal-text-diffusion
madaan/minimal-text-diffusion
A minimal implementation of diffusion models for text generation
This project helps anyone generate new text samples by learning from an existing body of text. You provide a collection of text documents, and it produces a model that can generate similar-style text, going from random gibberish to coherent sentences. This is ideal for content creators, researchers, or anyone needing to generate varied text based on a specific style or topic.
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