senet.pytorch

SE-Nets

An implementation of Squeeze-and-Excitation Networks (SE-Nets) for deep learning image classification tasks

PyTorch implementation of SENet

GitHub

2k stars
16 watching
442 forks
Language: Python
last commit: over 5 years ago
Linked from 1 awesome list

pytorchsenet

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
cadene/pretrained-models.pytorchProvides pre-trained PyTorch models for various computer vision tasks and datasets.9,044
hujie-frank/senetAn implementation of the Squeeze-and-Excitation Networks architecture in Caffe3,415
pytorch/pytorchA Python library providing tensors and dynamic neural networks with strong GPU acceleration84,978
prlz77/resnext.pytorchReproduces ResNet-V3 with PyTorch for computer vision tasks511
taki0112/senet-tensorflowA TensorFlow implementation of Squeeze and Excitation Networks for image classification tasks757
rosinality/stylegan2-pytorchAn implementation of StyleGAN 2 in PyTorch for image generation and analysis.2,751
nvidia/flownet2-pytorchA deep learning framework implementing an optical flow estimation model using PyTorch.3,159
timesler/facenet-pytorchThis project provides pre-trained PyTorch models for face detection and recognition tasks.4,611
meetps/pytorch-semsegImplementations of popular semantic segmentation architectures using PyTorch3,400
qubvel-org/segmentation_models.pytorchA comprehensive library for training and applying deep learning models for image segmentation9,829
cszn/kairImage restoration toolbox with training and testing codes for various deep learning-based methods2,994
stvir/pysotA software system designed to support research in visual tracking using deep learning algorithms4,452
ericsun99/shufflenet-v2-pytorchA PyTorch implementation of a ShuffleNet-v2 neural network architecture for image classification.431
amdegroot/ssd.pytorchAn implementation of a deep learning-based object detection system in PyTorch.5,160
diego999/pygatAn implementation of the Graph Attention Network model using PyTorch.2,935