giser18 Goto Github PK
Type: User
Type: User
基于可变卷积改进的U-Net网络实现对胰腺细胞的精准切割
Tensorflow implementation of ParNet for image 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.
平面gis算法, planar_algorithm
Fine Grained Image Classification with Class Imbalance using Bilinear EfficientNet with Focal Loss and Label Smoothing
Classification of plant leaf types - Multi-Label Image Classification - Deep Learning - Convolutional Neural Networks - PCA based weights Initialization for CNN kernels
Latex code for making neural networks diagrams
This repository contains a jupyter notebook which allow to perform postclassification of a land cover map using GRASS and Postgis
Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks")
Pyramid Scene Parsing Network, CVPR2017.
Web site for www.py4e.com and source to the Python 3.0 textbook
Python遥感可视化 — Basemap对遥感栅格数据展示
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python+GDAL分块读取遥感影像
Python+GDAL通过矢量裁剪遥感图像
Image segmentation - general superpixel segmentation & center detection & region growing
All Algorithms implemented in Python
Python - 100天从新手到大师
python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
python programming for geospatial data processing, analysis and visualization
This is a helper python module to be used along side pandas. It creates stratified sampling based on given strata.
PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).
Pytorch implementation for Semantic Segmentation with multi models (Deeplabv3, Deeplabv3_plus, PSPNet, UNet, UNet_AutoEncoder, UNet_nested, R2AttUNet, AttentionUNet, RecurrentUNet,, SEGNet, CENet, DsenseASPP, RefineNet, RDFNet)
PyTorch1.0 tutorials, examples and some books I found 【不定期更新中】整理的PyTorch 1.0 最新版教程、例子和书籍
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
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.