wambugunm Goto Github PK
Name: Wambugu NM
Type: User
Company: @OfficePoint Creative Solutions
Bio: Researcher and Academician. Interests in Deep Learning, remote sensing, computer vision and big data.
Location: Nairobi Kenya
Name: Wambugu NM
Type: User
Company: @OfficePoint Creative Solutions
Bio: Researcher and Academician. Interests in Deep Learning, remote sensing, computer vision and big data.
Location: Nairobi Kenya
Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)
README and scripts for the Cityscapes Dataset
Deep Residual Learning for Image Recognition
ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.
Keras implementation of Road Extraction by Deep Residual U-Net article
An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.
Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN
DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
DenseASPP for Semantic Segmentation in Street Scenes
A Tensorflow implementation of denseASPP trained on Cityscape dataset.
Dilated Convolution for Semantic Image Segmentation
Dilated Residual Networks
tensorflow resnet101 fcn semantic segmentation
FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
基于keras集成多种图像分类模型: VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet
Residual networks implementation using Keras-1.0 functional API
Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset
Neural network visualization toolkit for keras
Models and examples built with TensorFlow
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
Tunable U-Net implementation in PyTorch
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Implementation of Deep Residual Learning / Residual Network for MSR paper http://arxiv.org/abs/1512.03385
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
In this project, we'll construct a fully convolutional neural network based on the VGGNet-16 architecture to perform semantic segmentation on a video captured from a front facing camera mounted on a vehicle dashboard to identify the drivable surface area.
Finetuning AlexNet, VGGNet and ResNet with TensorFlow
VGG19 and VGG16 on Tensorflow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.