archinetai/difformer-pytorch
Diffusion based transformer, in PyTorch (Experimental).
This is a tool for machine learning practitioners and researchers who are experimenting with novel deep learning architectures. It helps in building models that can generate sequences or embeddings by de-masking corrupted inputs. Developers would use this to train models on tokenized data or raw embeddings to predict missing information.
No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning researcher or developer exploring advanced generative models for sequential data or embeddings, particularly if you are interested in diffusion-based transformers.
Not ideal if you are looking for a ready-to-use solution for a specific application like natural language processing or image generation without custom model development.
Stars
24
Forks
2
Language
Python
License
MIT
Category
Last pushed
Sep 13, 2022
Commits (30d)
0
Dependencies
3
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