xuzhi0413's starred repositories
piecewise_linear_fit_py
fit piecewise linear data for a specified number of line segments
mapmatching
An arcpy based HMM map matching tool
PcArcBruTile
在ArcGIS中快速加载网络地图
SwitchyOmega
Manage and switch between multiple proxies quickly & easily.
mapconstruction
Map Construction Algorithms
traj-b-spline
2D Implementation of a trajectory generation algorithm, using Python, Numpy and Matplotlib.
arcgis-osm-editor
ArcGIS Editor for OpenStreetMap is a toolset for GIS users to access and contribute to OpenStreetMap through their Desktop or Server environment.
trajectory_mining
trajectory mining tool function implement by python
CAU_autoSubmit
上报体温,每日申请离校,与审批的脚本CAU
map-matching
The map matching functionality is now located in the main repository https://github.com/graphhopper/graphhopper#map-matching
drawio-desktop
Official electron build of draw.io
fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
iFLYTEK2021
The Winning Solution to the Cultivated land Extraction From High-Resolution Remote Sensing Image Challenge (1 / 486)
DeepGlobe-Road-Extraction-Challenge
D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction
road_building_extraction
Using Pytorch implementation of U-Net architecture for road and building extraction
transbigdata
A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.
algorithm-pattern
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers