hujie-frank/SENet
A PyTorch implementation of Squeeze-and-Excitation Networks, a CNN architecture that enhances feature expressiveness.
Cuda
AI & Machine Learning
Computer Vision
Apache-2.0
3.6K
Stars
852
Forks
Aug 19, 2017
Created
Feb 25, 2019
Last Updated
Project Analytics
Stars Growth (1 Month)
+5
+0.1% change
Avg Daily Growth (1 Month)
+0.2
stars per day
Fork/Star Ratio (All Time)
23.6%
High engagement
Lifetime Growth
1.2
stars/day over 3.1K days
Stars Over Time
Forks Over Time
Open Issues Over Time
Pull Requests Over Time
Commits Over Time
AI-Generated Tags
computer-vision
cnn-architecture
feature-extraction
pytorch
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