tfjeeves/README.md,sha256=Me6iX3WhyMq2cDlJJ3jz8oEzr9ypsEQtGM_mRNCFAYs,205
tfjeeves/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tfjeeves/callbacks/__init__.py,sha256=qQQaAwwxxOUhuaYr2-PhBcr4TKFoHKXf3Jk8lDxKTNk,244
tfjeeves/callbacks/all.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tfjeeves/callbacks/logger_hyperdash.py,sha256=-Mao9_nFSsCKFPT6P7aY5r5jtcML7yPo2Uhunt-pseQ,3454
tfjeeves/callbacks/logger_s3.py,sha256=KGfCFISu-OxHP1jYZZiYAEqCJWJrDFzCn-m-fXzrObg,1808
tfjeeves/callbacks/model_checkpoint.py,sha256=L8zRRVZrxsofbLKUCYksVlhCT0IpW5X9j9kBwpYPRkE,631
tfjeeves/callbacks/nvidia.py,sha256=bSfEmTUd3SBciIgKSGf7nTjTKDjrwcLy_yXeoBWKF6U,3265
tfjeeves/callbacks/stop_training.py,sha256=gecZCw9Tjw-FhNFp35jhiMcxTBwCHEL-7uZOQHT5dgQ,1769
tfjeeves/datasets/__init__.py,sha256=poxAL5pRo2aXOUaT60EpPNP7bAWvatTEzaCzVDTNTbA,186
tfjeeves/datasets/dataloader.py,sha256=iJbH3U268bmJVgy2NJwbNio0c0KIV-LnQj32keItASU,2574
tfjeeves/datasets/dataset.py,sha256=cmcLTYeB4GlShXc_oZpf_oC-QilBtJ1cPHbEAnBUcSE,7573
tfjeeves/datasets/experiment.py,sha256=L-7ai_slukVZ90-7BtbcDNuh4A4Pz0e0A9Ca7gMMT-8,8026
tfjeeves/datasets/utils.py,sha256=6NBwZwccjjIyY1P8mLbcbkHFyY5E2lc7sQpbxjU2sfY,2850
tfjeeves/evaluation/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tfjeeves/evaluation/inference.py,sha256=6_xcn6zmPOgbhiiczMGBgli03C6gOvmwGVlnXYM2TDM,1410
tfjeeves/models/__init__.py,sha256=CNPvqqVOavxt52sJ-HxvPOGK-qtbhmKgcd95WDo_v7o,403
tfjeeves/models/classification/__init__.py,sha256=zwhr9RqThn67a-H2L7OhhD9dDFemfXgq75vtZ27l4mE,152
tfjeeves/models/classification/baseline.py,sha256=KzsA53T7w51hTwj_UEEFTtcJ0aRzS4b41QTL8cm6M9k,1432
tfjeeves/models/classification/mobilenetv2.py,sha256=19jczf125qpuAP6CHyVB2x0xyHaxFZCbZTOdhHI3Ndo,1320
tfjeeves/models/classification/resnet101.py,sha256=ur1YAWuVxv6yDG4tNvr5YkhpVIpP-cU7umAvKd2NYSw,1634
tfjeeves/models/classification/resnet50.py,sha256=hLRS541H4ypmEgIUzEv9bqg70xyde0Zc5jsIbP8wB5g,1395
tfjeeves/models/regression/__init__.py,sha256=4VCO-ZtJDQoTLq8tXRUo_-wVYm-nU_DxYNNBM48PSdM,147
tfjeeves/models/regression/baseline.py,sha256=83rqiYrVnOHePm--9ocAw9jkIAwiqq2qZ_3gwxclfoc,1645
tfjeeves/models/regression/mobilenetv2.py,sha256=7zrnjKKS-VyXLiLyzCtGdIvXR5shA2Y5u-7XiXXsMAc,1427
tfjeeves/models/regression/resnet101.py,sha256=rQ6SJY2AzlnZb5eWbU8F5113i1jmZlX7M2gEb1Lp5ag,1476
tfjeeves/models/regression/resnet50.py,sha256=B9F9sjywaVR-LxhzHyTNfS0-RbnIWtacmTVzXuajO7Y,1480
tfjeeves/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tfjeeves/tests/test_ImageDataset.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tfjeeves/utils/__init__.py,sha256=gWFqkvwlT5QMBjaR6MBYxp8Jk012VBPf5KyrJPZXz0Q,367
tfjeeves/utils/non_image.py,sha256=jrFm5dB9Rx5Bb00JmYfsDicXSS58bTfzTesSBOlfrUA,3171
tfjeeves/utils/tf_env.py,sha256=08kbb7-Pn4lN3Sf6CNmWVRwGoHUz2i55JyOoGvCq-Dc,430
tfjeeves/utils/thumbgen.py,sha256=8u3bbVSstb0ijWcyFDmb6R7k2zuSBjTjH7XTywn4HKo,3955
tfjeeves-0.2.4.dist-info/entry_points.txt,sha256=G9_pHAL4JYVzXbEFHFv-Wgunc-g197M5Z-eJRRbNBGQ,51
tfjeeves-0.2.4.dist-info/WHEEL,sha256=xSvaL1DM8LOHfdyo0cCcwjZu1tC6CnCsRGWUgazvlbM,83
tfjeeves-0.2.4.dist-info/METADATA,sha256=tO2U_99I3QFsB0m_OnS8vPeqWXAaDY8921uIjAIIzfI,1227
tfjeeves-0.2.4.dist-info/RECORD,,
