xaitalk/aime-lbbb-mirror

AIME 2024 LBBB classifier (Nils Gumpfer) — xaitalk mirror

This is a bit-identical mirror of the canonical artifact from Nils Gumpfer.

The mirror exists only as a resilience fallback for the xaitalk library — the upstream remains authoritative. All credit and licensing for the model belong to the original authors.

Attribution

Field	Value
Original authors	Nils Gumpfer
Upstream (authoritative)	https://github.com/nilsgumpfer/AIME2024/tree/main/models/LBBB
Source repo	https://github.com/nilsgumpfer/AIME2024
Paper	AIME 2024 — see github.com/nilsgumpfer/AIME2024
License	cc-by-4.0 (inherited from upstream — please respect upstream's terms)
Mirror file	aime_lbbb.h5
SHA-256	6bb2768b5f3611732370e092cb00a9ef3b39b83dd087cf92cb48a0aa09ae0784
Size	311,000 bytes (0.3 MB)

How xaitalk loads this file

from xaitalk.hub import ensure_model
weights_path = ensure_model("ecg/aime-lbbb")
# Tries the canonical upstream first; falls back to this xaitalk mirror
# automatically if upstream is unreachable.

Why mirror?

xaitalk's research-grade reproducibility claim relies on every weight file being recoverable years from now. We mirror artifacts ≤ 2.5 GB under xaitalk/*-mirror so the pipeline survives upstream URL changes, repo renames, or deletions. Bit-level parity with the canonical is asserted in CI via python -m xaitalk.hub verify-mirrors.

Citation

If you use this model, please cite the original paper (not the mirror):

AIME 2024 — see github.com/nilsgumpfer/AIME2024