RobinKa/discrete-flow-matching-pytorch
Discrete Flow Matching implemented in PyTorch
This project helps machine learning researchers and practitioners generate discrete data, such as text, using a method called Discrete Flow Matching. You provide an initial configuration, and it outputs a trained model capable of creating new text sequences. It's designed for those experimenting with advanced generative models beyond typical continuous data approaches.
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Use this if you are a machine learning researcher or engineer exploring cutting-edge generative models for discrete data like text, especially if you're working with PyTorch.
Not ideal if you need a plug-and-play solution for text generation without deep understanding of model training or if you are not comfortable with Python and PyTorch.
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35
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2
Language
Python
License
MIT
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Last pushed
Mar 23, 2025
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