Pinned Repositories
2opt
C++ implementations of the 2-Opt heuristic for the Euclidean traveling salesman problem.
adopptrs
Automatic Detection Of Photovoltaic Panels Through Remote Sensing
ai-transportation
Artificial Intelligence in Transportation
ai_for_earth
Algorithm-Design-Manual-Programs
A collection of programs found in `The Algorithm Design Manual (2nd Edition) by Steven Skiena`
Analysis-on-Airbnb-Housing-Data
awesome-ml4spo
Awesome Machine Learning for Spatial Optimization Resources
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
BDCI-2020-TimeSeries-Prediction
Matrix Factorization for High-Dimensional and Sparse Time Series Prediction
cetacean_photogram
Measuring Cetaceans from Remotely Sensed Data (mostly UAS)
wangshgeo's Repositories
wangshgeo/ai_for_earth
wangshgeo/awesome-ml4spo
Awesome Machine Learning for Spatial Optimization Resources
wangshgeo/BDCI-2020-TimeSeries-Prediction
Matrix Factorization for High-Dimensional and Sparse Time Series Prediction
wangshgeo/city-roads
Visualization of all roads within any city
wangshgeo/clusternet
Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"
wangshgeo/Colab-Notebooks-for-Training-Models
wangshgeo/CSP_Attention
wangshgeo/DAN
Public version of the decentralized, attention-based mTSP code
wangshgeo/DeepSolar
Nationwide houseshold-level solar panel identification with deep learning
wangshgeo/Detectron2-Train-a-Instance-Segmentation-Model
Learn how to train a custom instance segmentation model with Detectron2
wangshgeo/DROO
Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks
wangshgeo/GA_VRP_GPU
wangshgeo/GCOMB
wangshgeo/geospatial_libs
Some issues for geospatial libs
wangshgeo/gis4m1
GIS tools for Apple M1
wangshgeo/Hybrid-learn2branch
Hybrid Models for Learning to Branch (NeurIPS 2020)
wangshgeo/IBD-of-p-center-and-p-median
The code of Improved Benders decomposition algorithm for city emergency service facility location
wangshgeo/kaggle-satellite-imagery-feature-detection
Satellite Imagery Feature Detection (68 out of 419)
wangshgeo/landcover
Land Cover Mapping
wangshgeo/Learning-to-Optimize-Arxiv
The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading notes.
wangshgeo/maps
maps
wangshgeo/osm-population-predictor
Population prediction model based on extracted OSM features
wangshgeo/paper-dgmm2021
Repository for the extra material of our paper submitted to DGMM 2021.
wangshgeo/pgrouting4dev
pgrouting4dev, fixing issues and bugs
wangshgeo/Plant-Disease-Detection-Web-application
Deep learning with convolutional neural networks (CNNs) has achieved great success in the classification of various plant diseases. However, a limited number of studies have elucidated the process of inference, leaving it as an untouchable black box. Revealing the CNN to extract the learned feature as an interpretable form not only ensures its reliability but also enables the validation of the model authenticity and the training dataset by human intervention. In this study, a variety of neuron-wise and layer-wise visualization methods were applied using a CNN, trained with a publicly available plant disease image dataset. We showed that neural networks can capture the colors and textures of lesions specific to respective diseases upon diagnosis, which resembles human decision-making. While several visualization methods were used as they are, others had to be optimized to target a specific layer that fully captures the features to generate consequential outputs. Moreover, by interpreting the generated attention maps, we identified several layers that were not contributing to inference and removed such layers inside the network, decreasing the number of parameters by 75% without affecting the classification accuracy. The results provide an impetus for the CNN black box users in the field of plant science to better understand the diagnosis process and lead to further efficient use of deep learning for plant disease diagnosis.
wangshgeo/RoadDamageDetector
wangshgeo/roaddamagedetector-1
wangshgeo/RotationDetection
This is a tensorflow-based rotation detection benchmark, also called UranusDet.
wangshgeo/VSR-LKH
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem
wangshgeo/Web-Crawler
Web Crawler for baidu qunar and ctrip