senet.pytorch
SE-Nets
An implementation of Squeeze-and-Excitation Networks (SE-Nets) for deep learning image classification tasks
PyTorch implementation of SENet
2k stars
16 watching
442 forks
Language: Python
last commit: over 5 years agoLinked from 1 awesome list
pytorchsenet
Related projects:
| Repository | Description | Stars |
|---|---|---|
| Provides pre-trained PyTorch models for various computer vision tasks and datasets. | 9,044 | |
| An implementation of the Squeeze-and-Excitation Networks architecture in Caffe | 3,415 | |
| A Python library providing tensors and dynamic neural networks with strong GPU acceleration | 84,978 | |
| Reproduces ResNet-V3 with PyTorch for computer vision tasks | 511 | |
| A TensorFlow implementation of Squeeze and Excitation Networks for image classification tasks | 757 | |
| An implementation of StyleGAN 2 in PyTorch for image generation and analysis. | 2,751 | |
| A deep learning framework implementing an optical flow estimation model using PyTorch. | 3,159 | |
| This project provides pre-trained PyTorch models for face detection and recognition tasks. | 4,611 | |
| Implementations of popular semantic segmentation architectures using PyTorch | 3,400 | |
| A comprehensive library for training and applying deep learning models for image segmentation | 9,829 | |
| Image restoration toolbox with training and testing codes for various deep learning-based methods | 2,994 | |
| A software system designed to support research in visual tracking using deep learning algorithms | 4,452 | |
| A PyTorch implementation of a ShuffleNet-v2 neural network architecture for image classification. | 431 | |
| An implementation of a deep learning-based object detection system in PyTorch. | 5,160 | |
| An implementation of the Graph Attention Network model using PyTorch. | 2,935 |