🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

WebGL point cloud viewer for large datasets

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

Google Earth Engine for R

A repository of custom scripts to be used with Sentinel Hub

Introductory tutorial on graphical display of geographical information in R.

Bindings for Tabula PDF Table Extractor Library

A SAM-based model for instance segmentation of images of grains

Business analytics using R and Shiny. The radiant app combines the menus from radiant.data, radiant.design, radiant.basics, radiant.model, and radiant.multivariate.

Earth observation tools for Meta AI Segment Anything

Çalışmalarınızda kullanabileceğiniz Türkçe Yapay Zeka Terimleri.

Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.

An R package implementing the UMAP dimensionality reduction method.

PyCrown - Fast raster-based individual tree segmentation for LiDAR data

Quantitative Structure Models of Single Trees from Laser Scanner Data

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

Find, Download and Process Sentinel-2 Data

R interface to fast.ai

Deep learning system; Docker image access; Pypi package; GEE access; image segmentation; density estimation; dataset open; pre-trained models open; PNAS Nexus publication

Code repository for the paper Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks

Predictive Soil Mapping with R (book)

R functions for processing individual tree TLS point clouds

official source code for paper entitled "Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning"

Rapid and Pretty Things in R : A shiny graphical user interface for your favourite ggplot graphics in R