wananan416's Stars
bubbliiiing/pspnet-keras
这是一个pspnet-keras的源码，可以用于训练自己的模型。
msahamed/semantic_segmentation_satellite_image
This repository contains all the codes and data for semantic geologic segmentation of Landsat 8 images
1044197988/Semantic-segmentation-of-remote-sensing-images
遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+
PratyushTripathy/pixel_level_land_classification
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
PratyushTripathy/Landsat-Classification-Using-Convolution-Neural-Network
Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://towardsdatascience.com/is-cnn-equally-shiny-on-mid-resolution-satellite-data-9e24e68f0c08
cmoultonatx/sklearn_landsat_classification
scikit-learn implementation of landsat image classification
xungeer29/Remote-Sensing-Image-Classification
深度学习图像分类的入门教程
florianbeyer/RandomForest-Classification
Classifying remote sensing data with random forest
ljpzzz/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
1044197988/Python-Image-feature-extraction
Python实现提取图像的纹理、颜色特征，包含快速灰度共现矩阵（GLCM）、LBP特征、颜色矩、颜色直方图。
sjliu68/Remote-Sensing-Image-Classification
Remote sensing image classification based on deep learning
amilyxy/Hyperspctral_classification
Hyperspectral remote sensing image classification based on deep learning
Gypsop/Remote-Sensing_Images_Reading
支持多种影像格式的遥感影像读取程序 | python3.6
yangxue0827/CNN_UCMerced-LandUse_Caffe
Based on the deep learning framework (Caffe), the classification of the optical remote sensing image UCMerced LandUse dataset was completed.
chehongshu/DL-tenserflow
:alien:Tensorflow realizes deeplearning
MagaretJi/TensorFlow
MagaretJi/TFRecord
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
sundaygeek/tensorflow-in-action
《tensorflow实战》
carranza96/cnn-landcover
2D Convolutional Neural Network for land use and land cover classification of radar and hyperspectral images
hjptriplebee/AlexNet_with_tensorflow
an implement of AlexNet with tensorflow, which has a detailed explanation.
zziz/pwc
This repository is no longer maintained.
amusi/TensorFlow-From-Zero-To-One
TensorFlow 最佳学习资源大全（含课程、书籍、博客、公开课等内容）
weiaicunzai/awesome-image-classification
A curated list of deep learning image classification papers and codes
MorvanZhou/tutorials
机器学习相关教程
NELSONZHAO/zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
balancap/SSD-Tensorflow
Single Shot MultiBox Detector in TensorFlow
chyelang/hw2_image_classification
利用TensorFlow（TF），本作业实现了一个基于full convolution stack、inception v2 module等模块的图片分类网络，纵向共包含10层包含参数的层，采用自己搭建的卷积层。对于dset1与dset2采用同样的网络结构，分别进行训练。最终在dset1验证集（约含900张图，下同）上的Top1分类准确率约为0.52，在dset2验证集上的Top1准确率约为0.63。在K80显卡的单核上，该模型的训练速度约为205张图每秒，最终所得模型的checkpoint约为45MB。