minimal-text-diffusion
A minimal implementation of diffusion models for text generation
Generate new text samples by training a model on existing text data.
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minimal-text-diffusion has 418 stars on GitHub. It has been forked 36 times. minimal-text-diffusion is written mainly in Python. It has been in active development since 2022. minimal-text-diffusion is available under the MIT license. Its main topics are ddpm, diffusion-models, generative-model, text-generation.
What is minimal-text-diffusion?
A minimal implementation of diffusion models for text generation
Is minimal-text-diffusion open source?
minimal-text-diffusion is an open-source project. It is released under the MIT license.
Is minimal-text-diffusion free?
Yes. minimal-text-diffusion is free and open source — you can use, modify and self-host it.
What license does minimal-text-diffusion use?
minimal-text-diffusion is available under the MIT license.
What language is minimal-text-diffusion written in?
minimal-text-diffusion is written mainly in Python.
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