Found 17 repositories(showing 17)
PyTorch implementation for Semantic Segmentation, include FCN, U-Net, SegNet, GCN, PSPNet, Deeplabv3, Deeplabv3+, Mask R-CNN, DUC, GoogleNet, and more dataset
An implementation of GoogLeNet Inception V3 by Pytorch. The implementation can be adapted to any size of picture input.
VanQuyen02
No description available
axeloh
GoogLeNet/InceptionNet pytorch implementation from scratch
A simple pytorch implementation for image classification with Googlenet Inception v3
priangshu17
A PyTorch implementation of a GoogLeNet (Inception) architecture from scratch for image classification on the CIFAR-100 dataset.
No description available
Dikashmashree
No description available
ro-okie
GoogLeNet implementation in PyTorch
h383kim
GoogleNet implementation in PyTorch
vinal-gadhiya
PyTorch implementation of GoogLeNet Inception v1
An unofficial implementation of GoogLeNet and Resnet34 in pytorch.
No description available
rogerwng
PyTorch implementation of CNN architectures including LeNet, AlexNet, VGG, NiN, GoogLeNet, etc.
PyTorch implementation of classic computer vision papers namely AlexNet, VGG, GoogLeNet/InceptionNet and ZFNet.
DeweshPandey
This project provides a PyTorch implementation of GoogleNet, also known as Inception v1, based on the original research paper "Going Deeper with Convolutions" by Szegedy et al.
WangXuan2401
This package is a PyTorch port of the original Spiking Neural Networks with GoogLeNet-Like Inception Module(SpikeGoogle) framework for improved backpropagation based spiking neural networks (SNNs) learning with Inception modules. The original implementation is in C++ with CUDA and CUDNN.
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