There are 3 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
AoE (AI on Edge，终端智能，边缘计算) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。
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
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
[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.
The squeezenet image classification android example
DeepDetect performance sheet
Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data to come
SqueezeNet Keras demo
Caffe Squeezenet model for binary classification of pornographic/non-pornographic material
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
Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
TensorFlow version of SqueezeNet with converted pretrained weights
Find out how to describe the things around you in another language with Core ML and the Vision framework in iOS 11! 👀
Implementation of SqueezeNet with Keras and TensorFlow.
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.
My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.
Deep Neural Network Architectures with dlib
Deep Learning Networks for Image Classifier deployed on a Raspberry Pi 3
Please see dev branch for latest improvements! TensorFlow version of improved "A Neural Algorithm of Artistic Style"
A performance benchmark of recent image classification models in deep learning
Benchmarking various Computer Vision models on TinyImageNet Dataset
Traffic sign classifier and CoreML implementation.
ncnn squeezeNet Android Studio Demo
Pre-trained weights for CNNs