inception-resnet-v2 话题在 GitHub 上没有填写简介，这里按 Star 数汇总最相关的热门仓库。
Cifar 100上的实践（ResNet、DenseNet、VGG、GoogleNet、InceptionV 3、InceptionV 4、Inception-ResNetv 2、Xcept、Resnet In Resnet、ResNext、ShuffleNet、ShuffleNetv 2、MobileNet、MobileNetv 2、SqueezeNet、NasNet、剩余注意力网络、SENet、WideResNet）
在ImageNet上训练的分类模型。克拉斯。
一些基本CNNs（MobileNetV1/V2/V3、EfficientNet、ResNeXt、InceptionV4、InceptionResNetV1/V2、SENet、SqueezeNet、DenseNet、ShuffleNetV2、ResNet）的tensorflow2实现。
TensowFlow 上的 CBAM 实现
A PyTorch implementation of Inception-v4 and Inception-ResNet-v2.
深度伪造检测：使用 InceptionResNetV2 检测视频是否假。
TensorFlow Slim上的CBAM实现
Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data [ICVGIPW'18]
SENet implementation on TensorFlow Slim
Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO for Classification and Regression)
Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.
Explore diverse computer vision projects using Transfer Learning(TL), Convolutional Neural Networks (CNN), Autoencoder and more in this collaborative repository
This project involves automating the attendance system of RT Knits using Face Recognition. Due to Covid-19, people are obliged to wear masks hence, the system is successful in recognizing people despite wearing masks.
Lung segmentation for chest X-Ray images with ResUNet and UNet. In addition, feature extraction and tuberculosis cases diagnosis had developed.
[WVC 2019] Regression in Convolutional Neural Network applied to Plant Leaf Count
A tensorflow2 implementation of Inception_V4, Inception_ResNet_V1 and Inception_ResNet_V2.
PredictiX is a comprehensive multi-disease prediction system built using the MERN stack and integrated with machine learning models. It accurately predicts lung cancer, breast cancer, diabetes, and heart disease, providing a seamless user experience for health diagnostics.
Keras Implementation of major CNN architectures
An image classification app built using Django 4, Django REST Framework 3, Next.js 12, and Material UI 5. The app uses Inception-ResNet-v2 to classify images selected by the user.
Implementation of GoogLeNet series Algorithm