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scitomo/
cryocare-v0.3.0-synthetic-parity

Name: cryocare-v0.3.0-synthetic-parity
Availability: InStock

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cryoCARE v0.3 synthetic parity checkpoint

This is a one-step analytic synthetic parity checkpoint, not a scientifically trained cryo-ET denoiser. FORMAT 2 closure does not validate it for cryo-ET scientific denoising, biological interpretation, Tomo110, or denoising-quality claims.

It was freshly regenerated on CPU through cryoCARE 0.3.0 and converted from the new vendor archive only. Historical Hugging Face tensors, FORMAT 1 records, HDF5 archives, and old package artifacts were not conversion input.

FORMAT: closed learned-checkpoint FORMAT 2; manifest schema 4; revision 3.
Fresh vendor archive: 7559168 bytes, SHA-256 f483e3d3f771a1d8b68eb8e38e454f7912b8c0bb6d60130546f9b6e8fb20a8c2.
Fresh config.json: 596 bytes, SHA-256 5079346a1eb4dd40794b8b9b6b4497606367017fb56cb2c8ab0d05ab609c722b.
Fresh weights_best.h5: 4,157,904 bytes, SHA-256 f5f24cf72be041e206159896c99f22b5043b58631ba97707f12d215164acd3b0.
Fresh norm.json: 64 bytes, SHA-256 6bee6eba160161bb2c150a17f7adfd3975b38f05b25fb6f862c99592fd23f065; mean -0.03654887154698372, std 0.2582538425922394.
Scitomo authority: 731344180e7d8f7782ebc2ec0bd8a6aeeffa5f07 / 07b5fb8ed7292628b300115f1cc9f7df818a3d51.
cryoCARE_pip: 835e22c21031f967113502183413a0a9269c3c06 / d7c38f4e51e9634872711e2cc1cbff7bb686152c; cryoCARE_T2T: 17e95d8a17e31d5403c24aaaa8022a74974f06b9 / cef5e259f8a4aa093106aa99a94bd83deb988b7f.
Official cryoCARE-0.3.0.tar.gz source-distribution SHA-256: 8885aeb03d1731de1958463bbf766fa9999f4480d71c3af09f711ee210ab9886.
Vendor environment: Python 3.8.20, TensorFlow 2.4.4, Keras 2.4.0, CSBDeep 0.7.4, NumPy 1.19.5, h5py 2.10.0, float32 CPU; seed 20260825.
Network: 30 canonical tensors, 1,024,017 parameters.
Inference profile retains fitting mean/std and the proven depth-3 patch-support claim.
Every persisted MaxPool3D uses deterministic_nonoverlapping backward semantics.

conversion/conversion-record.json contains all 30 semantic mappings and exact source provenance. resources/conversion-run.py, evidence/forward-parity.json, and evidence/backward-parity.json record the fresh generic-loader closure. No HDF5, vendor archive, pickle, SavedModel, Keras object, NPZ, source checkout, or environment cache is published.

scitomo/cryocare-v0.3.0-synthetic-parity

cryoCARE v0.3 synthetic parity checkpoint

scitomo/
cryocare-v0.3.0-synthetic-parity