Aug 9

1. 21:13

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

   georgeyiasemis
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   0157fcf
2. 21:12

   One inference YAML per model; other accels commented under masking

   georgeyiasemis
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   6221e70
3. 21:07

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

   georgeyiasemis
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   b3f4733
4. 21:02

   Sync inference YAMLs from projects (registration + init target_acceleration)

   georgeyiasemis
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   0513cd1
5. 20:51

   Fix inference YAMLs for joint registration models⁠

   georgeyiasemis
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   16e6721
6. 14:12

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

   georgeyiasemis
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   e7ede90
7. 14:09

   Add DIRECT JOSS citation to model card

   georgeyiasemis
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   199dace
8. 13:33

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

   georgeyiasemis
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   c2155f2
9. 13:31

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

   georgeyiasemis
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   a66d7ea
10. 13:19

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

    georgeyiasemis
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    69b2d89
11. 01:09

    Fix direct predict usage: output_directory is positional

    georgeyiasemis
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    fa91ef2
12. 01:04

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

    georgeyiasemis
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    d69c3de
13. 00:46

    initial commit

    georgeyiasemis
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    44f061c