Remove per-rate _4x/_6x/_8x YAMLs (single YAML with commented rates)

One inference YAML per model; other accels commented under masking

Add per-rate inference YAMLs (_4x/_6x/_8x); keep name.yaml as 4x alias

Sync inference YAMLs from projects (registration + init target_acceleration)

Fix inference YAMLs for joint registration models

Docs: install from GitHub via conda + editable .[dev], not PyPI

Add DIRECT JOSS citation to model card

Rewrite model card: clearer docs, dataset links, no checkpoint iters

Fix inference YAMLs: pin single R+ACS; document training schedule + how to override

Replace configs with minimal inference-only YAMLs (no training/validation)

Fix direct predict usage: output_directory is positional

Add E2E-ADS-Recon-Reg checkpoints (name.yaml + name.pt) for CMRxRecon / arXiv:2411.18249

initial commit