MKIM1008

MKIM1008's Stars

• PKUFlyingPig/Self-learning-Computer-Science

  the resources I use to learn computer science in my spare time

  3.9k535358

• jmforsythe/Git-Heat-Map

  Visualise a git repository by diff activity

  Language:JavaScript1k5640

• r-tmap/tmap

  R package for thematic maps

  Language:R87927923123

• ranahaani/GNews

  A Happy and lightweight Python Package that Provides an API to search for articles on Google News and returns a JSON response.

  Language:Python7931857112

• dmpe/R

  Exercises (incl. analyses) with R language (math+statistics)

  Language:R6891396380

• alltheplaces/alltheplaces

  A set of spiders and scrapers to extract location information from places that post their location on the internet.

  Language:Python682263.9k225

• r-lidar/lidR

  Airborne LiDAR data manipulation and visualisation for forestry application

  Language:R62349581135

• djnavarro/rbook

  Source files for "Learning Statistics with R"

  Language:PostScript4903322162

• TerriaJS/TerriaMap

  Catalog-based web geospatial visualisation platform.

  Language:HTML34931128275

• joanby/probabilidad

  Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir

  Language:HTML156810478

• zorzi-s/projectRegularization

  Regularization of Building Boundaries using Adversarial and Regularized losses

  Language:Python1362515

• r-lidar/lidRviewer

  An OpenGL point cloud viewer for R able to handle several millions of points

  Language:C++8471916

• jiang719/road-network-predictability

  Language:Jupyter Notebook753111

• lmbett/Introduction-to-Urban-Science-Course-Materials

  This contains slides, code, data and reading materials for the the course.

  Language:Python653014

• pratikpv/google_news_scraper_and_sentiment_analyzer

  Downloads news articles from Google news and uses pre-trained NLP models to perform sentiment analysis

  Language:Python574214

• Jean-Romain/lidRplugins

  Extra functions and algorithms for lidR package

  Language:R4751917

• easonlai/google_news_content_scrape_and_analyze_with_gpt

  This demo repository illustrates how to use Python to scrape news articles from Google based on a given keyword. The scraped articles are then processed by Azure OpenAI Service (AOAI)'s GPT-3 model, which generates concise summaries of the main points. The summaries are then formatted and sent via email using MailJet API.

  Language:Jupyter Notebook441011

• detlevn/QGIS-ConcaveHull-Plugin

  Computes a concave hull containing a set of features according to the algorithm described by Adriano Moreira and Maribel Yasmina Santos (2007) implemented as a QGIS plugin.

  Language:Python384610

• s1m0nS/QGIS-Regularize-Building-Footprints

  This QGIS plugin regularizes building footprints detected with deep learning, including instance and semantic segmentation.

  Language:Python12330

• colouring-cities/colouring-britain

  Developed out of the Colouring London prototype. Collecting data on Britain's buildings and testing new core features

  Language:TypeScript1002742

• colouring-cities/manual

  The Colouring Cities Research Programme's Open Manual/Wiki

  10760

• zdong1/API-Crime-Mapping

  A R Program to do some spatial statistics

  Language:R7204

• Fractal-analysis-of-surface/Building_footprints_python

  Detection, vectorisation, and regularisation of building foot-prints from LiDAR data.

  Language:Jupyter Notebook5100

• Pseudo-Lab/responsibleAI

  5100

• Pseudo-Lab/9th-concept-of-data-engineering

  가짜연구소 9기 <CoDE: Concept of Data Engineering> 스터디 레포입니다.

  3001

• Joelcalanche/nlp_aplication

  application to analyze the text of bbc news, scrapping (beautiful soup), automation (airflow), ETL jobs, dataengineering, Machine learning NPL

  Language:Jupyter Notebook1100

• martinfleis/contextily-feedstock

  A conda-smithy repository for contextily.

  100

• Pseudo-Lab/9th-developer-AI-powered-part2

  AI를 잘 활용하는 개발자로 성장하기 Part 2

  1201

• SarveshVGharat/2DFP-2D-building-footprint-extraction-using-aerial-lidar-point-cloud

  Language:Jupyter Notebook1101

• ZC-peng/SAM_based_Building_Footprint_Extraction_for_Residential

  SAM-based Building Footprint Extraction for Residential Complex Spatial Assessment Using LiDAR Data and VHR Imagery

  Language:Python110