wangshgeo

wangshgeo's Stars

• princewen/tensorflow_practice

  tensorflow实战练习，包括强化学习、推荐系统、nlp等

  Language:Python6.6k222673.3k

• robmarkcole/satellite-image-deep-learning

  Deep learning with satellite imagery

  5.8k233181.1k

• Thinklab-SJTU/awesome-ml4co

  Awesome machine learning for combinatorial optimization papers.

  Language:Python1.5k382187

• Gurobi/modeling-examples

  Gurobi modeling examples

  Language:Jupyter Notebook5822915264

• revenol/DROO

  Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

  Language:Python5161222188

• CosmiQ/solaris

  CosmiQ Works Geospatial Machine Learning Analysis Toolkit

  Language:Python41131246112

• sshuair/torchsat

  🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

  Language:Python385201048

• phelber/EuroSAT

  EuroSAT: Land Use and Land Cover Classification with Sentinel-2

  382131083

• CityOfNewYork/nyc-geo-metadata

  239263050

• GeminiLight/sdn-nfv-papers

  This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

  Language:HTML1058124

• pereira-gha/activefire

  Active fire detection and segmentation with CNN

  Language:Python977823

• bwilder0/clusternet

  Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"

  Language:Python855422

• rubensolozabal/vnf_placement_optimization_rl

  Virtual Network Function placement optimization with Deep Reinforcement Learning

  Language:Python674319

• gabrieltseng/solar-panel-segmentation

  A U-Net for solar panel identification and segmentation

  Language:Python483917

• pg2455/Hybrid-learn2branch

  Hybrid Models for Learning to Branch (NeurIPS 2020)

  Language:Python443411

• haiguanl/RLCO-Papers

  Paper collection of reinforcement learning based combinatorial optimization

  43608

• njtierney/maxcovr

  Tools in R to make it easier to solve the Maximal Coverage Location Problem

  Language:R4267911

• shyoulala/CCF_BDCI_2020_DIDI_rank1_solution

  2020 CCF BDCI 线上第一 解决方案代码

  Language:Jupyter Notebook4117

• worldbank/GOST_PublicGoods

  Language:Jupyter Notebook4036916

• CongWeilin/cluster-loss-tensorflow

  This a an impletation of Deep Metric Learning via Facility Location on tensorflow

  Language:Python354213

• MilesCranmer/gnn_resource_allocation

  Code for our paper on doing resource allocation with graph neural networks

  Language:Python27511

• francois-rozet/adopptrs

  Automatic Detection Of Photovoltaic Panels Through Remote Sensing

  Language:Python16503

• fabiofurini/LocationCovering

  Exact Branch-and-Benders-cut algorithm for the Maximal Covering Location Problem and for the Partial Set Covering Location Problem

  Language:C++14217

• LukeLee233/DRL_GCN_CVRP

  An implementation for CVRP problem with A3C+Attention mechanism and GCN

  Language:Python12203

• huanfachen/Open_source_location_cover_models

  Code of open source spatial optimisation and location cover models

  Language:Python100

• alvinzhaowei/vdist2vec

  An implementation of vdist2vec model in paper A Learning Based Approach to Predict Shortest-Path Distances

  Language:Python9201

• 1085904057/spatialjoin

  Distributed Spatial Join Based on Spark

  Language:Scala65

• ssviridov/kdd-didi

  Language:Python20

• yzhong1985/optimal-billboard-location-selection

  this is a project to demonstrate a implementation to solve maximum covering location problem for billboards in Phonix AZ

  Language:Jupyter Notebook1

• yzhong1985/optimal-billboard-location-traffic-vol

  this is a project to demonstrate a implementation to solve maximum covering location problem for billboards in New York city and Seattle based on traffic speed/volume

  Language:Jupyter Notebook1