Projects: pypi: resnet
https://packages.ecosyste.ms/registries/pypi.org/packages/resnet
keras-style API to ResNets (ResNet-50, ResNet-101, and ResNet-152)
1 version
Latest release: almost 8 years ago
1 dependent package
927 downloads last month
Enhanced Analysis
Repository Activity:
Science Score: 65/100
Starting Score: 100 points
Penalties:
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-10
PyPI ecosystem
General-purpose ecosystem -
-15
No science keywords
No scientific terms found in keywords/classifiers -
-10
No science terms in description
No scientific terms found in description
Very Likely Science (65)
Papers Mentioning resnet 7
10.1155/2021/6865287
Short Text Paraphrase Identification Model Based on RDN-MESIMCited by: 2
Author(s): Jing Li, Dezheng Zhang, Aziguli Wulamu
Software Mentions: 2
Published: almost 4 years ago
10.3390/s21186195
A Systematic Approach for Evaluating Artificial Intelligence Models in Industrial SettingsCited by: 0
Author(s): Paul-Lou Benedick, Jérémy Robert, Yves Le Traon
Software Mentions: 2
Published: almost 4 years ago
10.3390/jimaging6110121
Deep Learning in Selected Cancers’ Image Analysis—A SurveyCited by: 40
Author(s): Taye Girma Debelee, Samuel Rahimeto Kebede, Friedhelm Schwenker, Zemene Matewos Shewarega
Software Mentions: 2
Published: over 4 years ago
10.1038/s41598-020-73126-9
DDxNet: a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalogramsCited by: 11
Author(s): Jayaraman J. Thiagarajan, Deepta Rajan, Sameeksha Katoch, Andreas Spanias
Software Mentions: 1
Published: almost 5 years ago
10.3390/e22101081
CEB Improves Model RobustnessCited by: 12
Author(s): Ian Fischer, Alexander A. Alemi
Software Mentions: 1
Published: almost 5 years ago
10.1016/j.dib.2021.106790
Two gas metal arc welding process dataset of arc parameters and input parametersCited by: 2
Author(s): Rogfel Thompson Martínez, Guillermo Alvarez Bestard, Sadek Crisóstomo Absi Alfaro
Software Mentions: 1
Published: over 4 years ago
10.1155/2018/4149103
A Composite Model of Wound Segmentation Based on Traditional Methods and Deep Neural NetworksCited by: 36
Author(s): Fangzhao Li, Changjian Wang, Xiaohui Liu, Yuxing Peng, Shiyao Jin
Software Mentions: 1
Published: about 7 years ago