flsmedia Goto Github PK

-impervious-surface-extraction-algorithm-for-high-resolution-remote-sensing-image

airbnb_price_prediction

Price prediction of airbnb offers using random forest regression.

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.

baidu-spider

爬取百度地图poi数据

building-a-nets

Building-a-nets: robust building extraction from high-resolution remote sensing images with adversarial networks

building-extraction

Remote sensing image building extraction and optimization, using TF2

decision-tree-random-forest-regression

dem_compare

Validation of high resolution satellite derived DEM and 'ground-truth' LIDAR

diresnet

Codes for the 'Direction-aware Residual Network for Road Extraction in VHR Remote Sensing Images'

fcns-for-road-extraction-keras

Road extraction of high-resolution remote sensing images based on various semantic segmentation networks

gradient-boosting-regression

I used gradient boosting regression and random forest regression to predict real estate prices for the kaggle task titled "House Prices: Advanced Regression Techniques"

health-outcome-prediction

Build models using tweets data and demographic data, including pca, KNN, linear regression, lasso regression, svm, random forests, bagging, boosting etc.

hrsid

HRSID: high resolution sar images dataset for ship detection, semantic segmentation, and instance segmentation tasks.

lasconverter

Converts LAS Files (LIDAR data) to DSM/DEMs with an optional shapefile / kml file to clip to.

laspy

Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.

lidar2dems

Utilities using PDAL and PCL to create DTMs, DSMs, and CHMs from lidar data

lidarforestryheight

Plugin generates heights raster maps from LiDAR classified point clouds (las and laz formats)

lidargc

LiDAR .las file data processing for DEM, DSM, and CHM production

lidarprocessing

Process lidar data to create canopy models and DEMs

linear-regression-and-random-forest-in-python

machine-learning-models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

machine_learning_toolbox

A toolbox with several tools for machine learning like SVM, regression, bagging, boosting, random forest…

matlab-randomforest

matlab randomForest

mmdetection

OpenMMLab Detection Toolbox and Benchmark

poi

百度以及高德地图POI数据和POI边界坐标数据(目前仅限百度)爬取代码，采用Python编写

poiget

从百度高德天地图爬取POI

predicting_real_estate_prices_using_scikit-learn

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

pyquantregforest

This package aims to compute conditional quantiles using random regression forests from the scikit-learn library.

python-regression-tree-forest

Python implementation of CART regression tree and random forests

quantilerandomforestregressor

Python Implementation of Quantile Random Forest Regression