Agnes Schneider (keltoskytoi)

keltoskytoi

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Company:Technichal University Berlin/Leiden University

Location:Berlin/Leiden

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Agnes Schneider's repositories

R_chaeology

under construction

archaeology-machine-learning

machine learning techniques for archaeology

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awesome-image-classification

A curated list of deep learning image classification papers and codes

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canopyLazR

R package to estimate leaf area density (LAD) and leaf area index (LAI) from airborne LiDAR point clouds

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CAseriation

R Package for contingency tables seriation via Correspondence Analysis

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code-documentation

Coderefinery project website.

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Multispectral_Image_Processing

This is the code for the Chapter "Identifying burial mounds and enclosures using RGB and multispectral indices derived from UAS imagery".

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deep-learning-with-r-notebooks

R notebooks for the code samples of the book "Deep Learning with R"

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Envimaster-Geomorph

craters detection and iditification

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exercise-5-keltoskytoi

exercise-5-keltoskytoi created by GitHub Classroom

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image-segmentation-keras

Outil de segmentation d'image en Deep Learning : SkyEye

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julia-flowers

An experiment in R to create flowers inspired in the Julia Set

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machine_learning_complete

A comprehensive repository containing 30+ notebooks on learning machine learning!

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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.

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msc-phygeo-class-of-2017-schnell7-1

msc-phygeo-class-of-2017-schnell7-1 created by GitHub Classroom

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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

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Opensource_OBIA_processing_chain

An open-source semi-automated processing chain for urban OBIA classification.

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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)

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planets

eScience course exapmle repo

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pytorch-cifar

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, mobilenet, squeezenet, nasnet)

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R-Network-Visualization-Workshop

Static and dynamic network visualization with R - code and tutorial from Polnet 2016 workshop.

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repo_varia

all kinds of documents

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segment-lidar

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

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whiteboxR

WhiteboxTools R Frontend

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