Topic: squeezenet Goto Github
Some thing interesting about squeezenet
Some thing interesting about squeezenet
squeezenet,Find out how to describe the things around you in another language with Core ML and the Vision framework in iOS 11! 👀
User: acromace
Home Page: https://youtu.be/_jxgNvIRpVk
squeezenet,Attention Squeeze U-Net
User: apennisi
squeezenet,Deep Learning Networks for Image Classifier deployed on a Raspberry Pi 3
User: appinho
squeezenet,Image classification using Transfer learning technique. Updated and added mlflow with PyTorch fine-tune tutorial
User: arnabdeypolimi
Home Page: https://pytorch.org/tutorials/beginner/finetuning_torchvision_models_tutorial.html
squeezenet,TensorFlow version of SqueezeNet with converted pretrained weights
User: avoroshilov
squeezenet,A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
User: calmilovesai
squeezenet,[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.
User: cedrickchee
squeezenet,
User: chadlikouider
squeezenet,SqueezeNet Keras demo
User: chasingbob
squeezenet,Implementation of SqueezeNet with Keras and TensorFlow.
User: cmasch
squeezenet,轻量化卷积神经网络实现(SqueezeNet/MobileNet/ShuffleNet/MnasNet)
Organization: deep-learning-algorithm
squeezenet,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。
Organization: didi
Home Page: https://didi.github.io/AoE
squeezenet,Deep Neural Network Architectures with dlib
Organization: dlibml
squeezenet,Real time camera object detection with Machine Learning in swift. Basic introduction to Core ML, Vision and ARKit.
User: dr-groot
squeezenet,An app that uses CoreML and SqueezeNet to take a picture and tell what the object it thinks is in the picture!
User: dramikei
squeezenet,Alcuni notebook di reti neurali convoluzionali con Tensorflow, Keras e TFlite per la riproduzione di alcuni layers utilizzati in GoogleNet e SqueezeNet rispetto a classificazioni binarie di immagini
User: e-petrachi
squeezenet,VGG | Resnet | Alexnet | Squeezenet | Densenet | Inception
User: engurs
squeezenet,Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
Organization: floydhub
squeezenet,Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Organization: googlecloudplatform
squeezenet,Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data to come
User: gsp-27
squeezenet,A performance benchmark of recent image classification models in deep learning
User: ihabbendidi
squeezenet,Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
Organization: ipc-lab
Home Page: https://arxiv.org/abs/2101.11693
squeezenet,Traffic sign classifier and CoreML implementation.
User: jaeoh2
squeezenet,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)
User: jiweibo
Home Page: https://github.com/jiweibo/ImageNet
squeezenet,DeepDetect performance sheet
Organization: jolibrain
squeezenet,手部21点关键点检测
User: keyforce
squeezenet,Mainly use SSD, YOLO and other models to solve the target detection problem in image and video !
User: liuguiyangnwpu
squeezenet,Image classification using deep learning on a Raspberry Pi™ from MATLAB®. You can generate C++ code for the complete inference pipeline with image acquisition, preprocessing, and postprocessing around a trained network and deploy to any ARM® Cortex-A based platform, such as the Raspberry Pi or NXP™ i.MX family of processors.
Organization: mathworks
squeezenet,Benchmarking various Computer Vision models on TinyImageNet Dataset
User: meet-minimalist
squeezenet,ncnn squeezeNet Android Studio Demo
User: milittle
squeezenet,low level tensorflow implementation of squeezenet
User: mkos
squeezenet,This repository contains a Keras implementation of SqueezeNet for vehicle classification.
User: mpoyraz
squeezenet,An improved version of SqueezeNet networks https://github.com/DeepScale/SqueezeNet
Organization: nidabasys
squeezenet,The squeezenet image classification android example
User: nihui
squeezenet,Skin cancer classification in pytorch using CNN
User: nssharmaofficial
squeezenet,A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
User: olafenwamoses
Home Page: https://www.genxr.co/#products
squeezenet,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.
User: olafenwamoses
Home Page: https://moses.aicommons.science
squeezenet,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.
User: piygot5
squeezenet,SqueezeNet implementation with Keras Framework
User: rcmalli
squeezenet,Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet
User: robinatp
squeezenet,High level network definitions with pre-trained weights in TensorFlow
User: taehoonlee
squeezenet,Caffe Squeezenet model for binary classification of pornographic/non-pornographic material
User: technikempire
squeezenet,I am aiming to write different Semantic Segmentation models from scratch with different pretrained backbones.
User: tshr-d-dragon
squeezenet,Implementation of popular deep learning networks with TensorRT network definition API
User: wang-xinyu
squeezenet,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)
User: weiaicunzai
squeezenet,My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.
User: yeonwoosung
squeezenet,Light-weight Single Person Pose Estimator
User: yuliangxiu
Home Page: http://xiuyuliang.cn
squeezenet,官方所有Models实现
User: yvent
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