Mobilenet CoremlThe MobileNet neural network using Apple's new CoreML framework
Stars: ✭ 678 (+266.49%)
DepthwiseconvolutionA personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)
Stars: ✭ 512 (+176.76%)
BsconvReference implementation for Blueprint Separable Convolutions (CVPR 2020)
Stars: ✭ 84 (-54.59%)
Mobilenet YoloA caffe implementation of MobileNet-YOLO detection network
Stars: ✭ 825 (+345.95%)
Embedded Ai.bi Weekly嵌入式AI公众号: NeuralTalk,Weekly report and awesome list of embedded-ai.
Stars: ✭ 331 (+78.92%)
Libgdl一个移动端跨平台的gpu+cpu并行计算的cnn框架(A mobile-side cross-platform gpu+cpu parallel computing CNN framework)
Stars: ✭ 91 (-50.81%)
Keras Yolov3 MobilenetI transfer the backend of yolov3 into Mobilenetv1,VGG16,ResNet101 and ResNeXt101
Stars: ✭ 552 (+198.38%)
Object LocalizationObject localization in images using simple CNNs and Keras
Stars: ✭ 130 (-29.73%)
Tf Pose EstimationDeep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
Stars: ✭ 3,856 (+1984.32%)
Ssds pytorchMultiple basenet MobileNet v1,v2, ResNet combined with SSD detection method and it's variants such as RFB, FSSD etc.
Stars: ✭ 71 (-61.62%)
keras-mobile-colorizerU-Net Model conditioned with MobileNet features for Grayscale -> Color mapping
Stars: ✭ 26 (-85.95%)
Tensorflow Face DetectionA mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.
Stars: ✭ 711 (+284.32%)
Mk TfjsPlay MK.js with TensorFlow.js
Stars: ✭ 133 (-28.11%)
RfbnetReceptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018
Stars: ✭ 1,272 (+587.57%)
Yolov5 ncnn🍅 Deploy NCNN on mobile phones. Support Android and iOS. 移动端NCNN部署,支持Android与iOS。
Stars: ✭ 535 (+189.19%)
EfficientnetImplementation of EfficientNet model. Keras and TensorFlow Keras.
Stars: ✭ 1,920 (+937.84%)
Pytorch MobilenetPyTorch MobileNet Implementation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"
Stars: ✭ 443 (+139.46%)
Mobilenet V2 Repository for "Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation".
Stars: ✭ 73 (-60.54%)
Mobilefacenet V2🔥improve the accuracy of mobilefacenet(insight face) reached 99.733 in the cfp-ff、 the 99.68+ in lfw,96.71+ in agedb30.🔥
Stars: ✭ 339 (+83.24%)
Segmentation modelsSegmentation models with pretrained backbones. Keras and TensorFlow Keras.
Stars: ✭ 3,575 (+1832.43%)
Jacinto Ai DevkitTraining & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models
Stars: ✭ 49 (-73.51%)
HyperposeHyperPose: A Collection of Real-time Human Pose Estimation
Stars: ✭ 961 (+419.46%)
GhostnetCV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
Stars: ✭ 1,744 (+842.7%)
PaddlexPaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具)
Stars: ✭ 3,399 (+1737.3%)
Keras Idiomatic ProgrammerBooks, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Stars: ✭ 720 (+289.19%)
LightnetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Stars: ✭ 698 (+277.3%)
Caffe MobilenetA caffe implementation of mobilenet's depthwise convolution layer.
Stars: ✭ 146 (-21.08%)
MobilefaceA face recognition solution on mobile device.
Stars: ✭ 669 (+261.62%)
Image Quality AssessmentConvolutional Neural Networks to predict the aesthetic and technical quality of images.
Stars: ✭ 1,300 (+602.7%)
Ssds.pytorchRepository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.
Stars: ✭ 570 (+208.11%)
Keras OpenfaceKeras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version
Stars: ✭ 538 (+190.81%)
Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
Stars: ✭ 85 (-54.05%)
MmclassificationOpenMMLab Image Classification Toolbox and Benchmark
Stars: ✭ 532 (+187.57%)
Proctoring AiCreating a software for automatic monitoring in online proctoring
Stars: ✭ 155 (-16.22%)
SegmentronSupport PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
Stars: ✭ 490 (+164.86%)
Mobilenet CaffeCaffe Implementation of Google's MobileNets (v1 and v2)
Stars: ✭ 1,217 (+557.84%)
Mobilenetv2 SsdliteCaffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
Stars: ✭ 435 (+135.14%)
MobilenetA Clearer and Simpler MobileNet Implementation in TensorFlow
Stars: ✭ 119 (-35.68%)
Tf Faster RcnnTensorflow Faster RCNN for Object Detection
Stars: ✭ 3,604 (+1848.11%)
ChannelnetsTensorflow Implementation of ChannelNets (NeurIPS 18)
Stars: ✭ 73 (-60.54%)
Php Opencv ExamplesTutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)
Stars: ✭ 333 (+80%)
Posenet CoremlI checked the performance by running PoseNet on CoreML
Stars: ✭ 143 (-22.7%)
Mace ModelsMobile AI Compute Engine Model Zoo
Stars: ✭ 329 (+77.84%)
Keras MobilenetGoogle MobileNet implementation with Keras
Stars: ✭ 256 (+38.38%)
SightseqComputer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection
Stars: ✭ 116 (-37.3%)
Seg MentorTFslim based semantic segmentation models, modular&extensible boutique design
Stars: ✭ 43 (-76.76%)
Pytorch Cifar100Practice 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)
Stars: ✭ 2,423 (+1209.73%)
Mobilenet SsdCaffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
Stars: ✭ 1,805 (+875.68%)
TensornetsHigh level network definitions with pre-trained weights in TensorFlow
Stars: ✭ 982 (+430.81%)