The Hugging Face Computational Graph Corpus contains computational graph representations extracted from traceable PyTorch models on Hugging Face. Each model is traced through its forward computation, canonicalized, hashed, and represented with graph-level structural features for architecture analysis, duplicate detection, retrieval, and visualization.
The corpus is intended for studying machine learning models as executable architectures… See the full description on the dataset page:
https://huggingface.co/datasets/anon-hf-graph-corpus/hf-graph-corpus.
