Releases: beijn/cellnet
Releases · beijn/cellnet
2-240725-3n
v1.0.1 - integrated new data QS_7415 (empty); QS_7506, QS_7508, QS_7510 (low density) - optimized batched inference - improved model training (architecture, loss, brightness augmentation, normalization, evaluation) - improved plotting - improved released model provision - improved sbatch scripts - included drafts for identification and removal of hard-to-learn points (rmbad)
2-240725-3
v1.0.1 - integrated new data QS_7415 (empty); QS_7506, QS_7508, QS_7510 (low density) - optimized batched inference - improved model training (architecture, loss, brightness augmentation, normalization, evaluation) - improved plotting - improved released model provision - improved sbatch scripts - included drafts for identification and removal of hard-to-learn points (rmbad)
2-240725-1n
v1.0.1 - integrated new data QS_7415 (empty); QS_7506, QS_7508, QS_7510 (low density) - optimized batched inference - improved model training (architecture, loss, brightness augmentation, normalization, evaluation) - improved plotting - improved released model provision - improved sbatch scripts - included drafts for identification and removal of hard-to-learn points (rmbad)
2-240725-1
Recommended best model version. 1% worse training accuracy than 2-240725-3, but much smaller and probably less overfitted.
2-240628-v002
Re-release of v0.0.2 model with new model API for use with the newest software version.