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331 to 340 of 454 Results
blocks.py
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Python Source Code - 10.1 KB - MD5: 60d51ef85adc76ccbff367827ae2ca02
checkpoint.py
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Python Source Code - 2.0 KB - MD5: 6cfbd56cb47e70c2d87b72ec72771835
cifar.py
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Python Source Code - 4.3 KB - MD5: dd91f6fe0bdc72576acc7955438cba03
config.py
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Python Source Code - 10.0 KB - MD5: 49f00bdc82c8db2a1b99f9de4481f767
dataloader.py
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Python Source Code - 3.5 KB - MD5: f5e3e663bd7124125f960553c49545fc
depth_pruner_resnet50.yaml
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Unknown - 512 B - MD5: 33df99c410fe8dc0221c3e52e969ae1a
depth_resnet50.tab
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Tabular Data - 3.4 KB - 11 Variables, 100 Observations - UNF:6:MiWG8Ugc8u6XggEAZMqiPg==
depth_resnet50.yaml
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Unknown - 296 B - MD5: d057978b5d41ece91bdb8b2a0c341e74
distributed.py
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Python Source Code - 6.4 KB - MD5: d53d070424ac642e9c6a06340920dcdb
eval_resnet50.yaml
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Unknown - 310 B - MD5: 4cba39d279d35c9d656a2725e667c657
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