93 stars | 5 forks | Python
Personal PyTorch implementation of "Generative Modeling via Drifting" with Claude
What it does
The 'drifting-model' repository offers a personal PyTorch implementation of generative modeling through drifting fields, enabling efficient one-step generation of samples. This approach enhances the quality of generated data by minimizing the distance between generated and real samples.
Why it matters: Explore cutting-edge generative modeling with this PyTorch implementation that simplifies data generation!
Want to create content about this repo? Use Nemati AI tools to generate articles, tutorials, and social posts.
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