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3,191 to 3,200 of 4,813 Results
train_b.pt
Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios
Unknown - 319.8 MB - MD5: 05b7909d1f47f80d97170b8dddab8781
train_c.pt
Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios
Unknown - 319.8 MB - MD5: 06301ce2a768a903dfd6e76c041d1281
train_d.pt
Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios
Unknown - 319.8 MB - MD5: 7e38ef10c41f7f74d8995cd0d7882cf5
val_a.pt
Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios
Unknown - 106.6 MB - MD5: 07d638049defa8978924ee152f6c5976
val_b.pt
Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios
Unknown - 106.6 MB - MD5: 7c5564f0283388aa64b4a98491d824ef
val_c.pt
Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios
Unknown - 106.6 MB - MD5: e205028b35a71cb5489f889f076dcda2
val_d.pt
Jun 16, 2022 - Paderborn Dataset Processed for Domain Adaptation Scenarios
Unknown - 106.6 MB - MD5: 47f5248275dc1795ed084bd0a8a499c5
DA_settings.ipynb
May 27, 2022 - UCI HAR Dataset Processed
Jupyter Notebook - 7.6 KB - MD5: b36404a208e0a1d8bb3d277e16f6421e
DA_settings.py
May 27, 2022 - UCI HAR Dataset Processed
Python Source Code - 5.6 KB - MD5: c0b9a0a5b7d1faf5f5124a5db641b487
Subject_wise_loader.ipynb
May 27, 2022 - UCI HAR Dataset Processed
Jupyter Notebook - 15.7 KB - MD5: ccdfa2b866605928618b54812ea09408
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