There are 4 repositories under squeezenet topic.
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Implementation of popular deep learning networks with TensorRT network definition API
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
High level network definitions with pre-trained weights in TensorFlow
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Light-weight Single Person Pose Estimator
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
SqueezeNet implementation with Keras Framework
The squeezenet image classification android example
[EXPERIMENTAL] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.
DeepDetect performance sheet
Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data to come
Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
Caffe Squeezenet model for binary classification of pornographic/non-pornographic material
SqueezeNet Keras demo
Mainly use SSD, YOLO and other models to solve the target detection problem in image and video !
Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet
An improved version of SqueezeNet networks https://github.com/DeepScale/SqueezeNet
TensorFlow version of SqueezeNet with converted pretrained weights
Benchmarking various Computer Vision models on TinyImageNet Dataset
This project aim to a build system which helps in the detection of cataract and it's type with the use of Machine Learning and OpenCv algorithms with the accuracy of 96 percent.
Implementation of SqueezeNet with Keras and TensorFlow.
My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.
Find out how to describe the things around you in another language with Core ML and the Vision framework in iOS 11! 👀
A project developed and maintained as part of the aim at bringing current capabilities in machine learning and artificial intelligence into practical use for non-programmers and average computer users.
Image classification using Transfer learning technique. Updated and added mlflow with PyTorch fine-tune tutorial
轻量化卷积神经网络实现(SqueezeNet/MobileNet/ShuffleNet/MnasNet)
Deep Learning Networks for Image Classifier deployed on a Raspberry Pi 3
A performance benchmark of recent image classification models in deep learning
Attention Squeeze U-Net