qiuli-github

qiuli-github's Stars

• z1069614715/objectdetection_script

  一些关于目标检测的脚本的改进思路代码，详细请看readme.md

  Language:Python5.3k476

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.5k9.4k

• nasa/GEDI-Data-Resources

  This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Global Ecosystem Dynamics Investigation (GEDI) mission.

  Language:Jupyter Notebook5624

• Tree-Delineation-Deep-Learning/detectree2

  Language:Jupyter Notebook21

• samapriya/geeup

  Simple CLI for Google Earth Engine Uploads

  Language:Python12026

• GeospatialPython/Learn

  Code and data samples from GeospatialPython.com and Books

  Language:Python7748

• eoway/Communications-Earth-Envt-2022

  Code associated with manuscript entitled, Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits.

  Language:R11

• ICESAT-2HackWeek/ICESat2_hackweek_tutorials

  Combined repository for final tutorial material from 2019 ICESat-2 HackWeek at the Univeristy of Washington

  Language:Jupyter Notebook7042

• ornldaac/gedi_tutorials

  GEDI L3 and L4 Tutorials

  Language:Jupyter Notebook11351

• aestovall/tree_mortality

  Companion code for Stovall et al. 2019

  Language:R142

• qiuli-github/microclimc

  Below or above canopy microclimate modelling with R

  1

• ilyamaclean/microclimc

  Below or above canopy microclimate modelling with R

  Language:R127

• luohenyueji/R-Study-Notes

  Language:Jupyter Notebook185

• qiuli-github/FSCT

  1

• jiqizhixin/Artificial-Intelligence-Terminology-Database

  A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain

  1.9k330

• qiuli-github/R-Study-Notes

  1

• qiuli-github/IT_book

  本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

  1

• GuangpengFan/AdQSM

  AdQSM is a new tree quantitative structure model (QSM) that can reconstruct the 3D branch geometry of individual tree from Terrestrial Laser Scanning (TLS) point clouds. Many attributes of the trunk or branch can also be quantitatively calculated (as shown in the table below). For example, tree volume (trunk and branch), DBH and tree height parameters can be extracted directly. It allows point clouds collected by different sensors to serve as input point clouds. In addition to TLS, UAV LiDAR, mobile LiDAR, SLAM and even photogrammetry are also included under the premise of appropriate point cloud density.

  Language:GLSL419

• yangliubnu/PhenologyChina

  R codes for analyses in Hua et al. Community-wide changes in inter-taxonomic temporal co-occurrence resulting from phenological shifts. Global Change Biology, in press

  Language:R32

• qiuli-github/Data-Analysis

  Data Science Using Python

  1

• WillKoehrsen/Data-Analysis

  Data Science Using Python

  Language:Jupyter Notebook5.2k3.6k

• pat-hanbury/MonteCarloTutorial

  Repo to supplement my tutorial on Monte Carlo Simulations and Importance Sampling

  Language:Jupyter Notebook7249

• carlos-alberto-silva/rGEDI

  rGEDI: An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.

  Language:R16266

• cohenlea/boundingbox

  extract bounding box coordinates from a folder of shapefiles and output geojsons and results in a text file

  Language:Python2

• the-full-stack/course-gitbook

  Full Stack Deep Learning Online Course

  886191

• EduinHSERNA/pyGEDI

  pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization.

  Language:Jupyter Notebook9142

• MingchaoZhu/DeepLearning

  Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

  Language:Python6.5k1.3k

• Dod-o/Statistical-Learning-Method_Code

  手写实现李航《统计学习方法》书中全部算法

  Language:Python11k2.9k

• qiuli-github/pycharm-guide

  PyCharm 中文指南：安装 | 破解 | 效率 | 技巧

  1

• iswbm/pycharm-guide

  PyCharm 中文指南：安装 | 破解 | 效率 | 技巧

  Language:Python2.3k405