Agnes Schneider's repositories
archaeology-machine-learning
machine learning techniques for archaeology
segment-lidar
Python package for segmenting aerial LiDAR data using Segment-Anything Model (SAM) from Meta AI.
code-documentation
Coderefinery project website.
planets
eScience course exapmle repo
repo_varia
all kinds of documents
machine_learning_complete
A comprehensive repository containing 30+ notebooks on learning machine learning!
Mask_UAV
This is a project to create software that can annotate, train, using deep learning, and segment imagery data from UAVs or other platforms. The project uses Labelme and PixelLib to annotate and train/segment respectively. The intent is to enable automated feature detection on imagery.
Multivariate_Statistics_Szentloerinc
This repository contains the R-code (and the data) of my paper "Multivariate Statistical Analysis of Archaeological Contexts: The case study of the Early La Tène Cemetery of Szentlőrinc, Hungary" published in October 2020
panoptic-deeplab
This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
Multispectral_Image_Processing
This is the code for the Chapter "Identifying burial mounds and enclosures using RGB and multispectral indices derived from UAS imagery".
R_chaeology
under construction
whiteboxR
WhiteboxTools R Frontend
image-segmentation-keras
Outil de segmentation d'image en Deep Learning : SkyEye
Envimaster-Geomorph
craters detection and iditification
exercise-5-keltoskytoi
exercise-5-keltoskytoi created by GitHub Classroom
canopyLazR
R package to estimate leaf area density (LAD) and leaf area index (LAI) from airborne LiDAR point clouds
awesome-image-classification
A curated list of deep learning image classification papers and codes
pytorch-cifar
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, mobilenet, squeezenet, nasnet)
Opensource_OBIA_processing_chain
An open-source semi-automated processing chain for urban OBIA classification.
msc-phygeo-class-of-2017-schnell7-1
msc-phygeo-class-of-2017-schnell7-1 created by GitHub Classroom
julia-flowers
An experiment in R to create flowers inspired in the Julia Set
deep-learning-with-r-notebooks
R notebooks for the code samples of the book "Deep Learning with R"
R-Network-Visualization-Workshop
Static and dynamic network visualization with R - code and tutorial from Polnet 2016 workshop.
CAseriation
R Package for contingency tables seriation via Correspondence Analysis