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Name: Asger Svenning
Type: User
Company: Aarhus Universitet
Bio: Ph.d. at Ecoscience, Aarhus University Interested in DL for classification, object detection and scalable monitoring. Bringing biology into ML.
Name: Asger Svenning
Type: User
Company: Aarhus Universitet
Bio: Ph.d. at Ecoscience, Aarhus University Interested in DL for classification, object detection and scalable monitoring. Bringing biology into ML.
Lavet af Peter, Jakob, Mads og Asger
This repository contains the workflow for a Biological Project on automatic monitoring of Silene acaulis (da: Tue-Limurt) in timelapse image series using deep learning.
Collected data and scripts used for my biological project on automatic monitoring of Silene acaulis (Moss Campion).
This is a project for storing data and scripts used in my bachelors project. The goal of the project is to utilize datasets such as FIA, USDA PLANTS and EPA ecoregions, to analyze the relationships between functional diversity and species richness.
Source code for the learning app for the bachelors course "Dansk Flora og Vegetationsøkologi" at biology at Aarhus University.
This repository contains the code for automatically generating and storing datasets in a standardized format on storage platforms. Initially the focus is on integration with GBIF, but the goal is to create an API which can be readily modified to work with any data provider.
This repository contains scripts and resources for collecting and formatting a dataset of expert-curated moth species with citizen science images from GBIF. The dataset is intended for pretraining of models for automatic monitoring of moths on AMI traps in connection with Biodiversa+.
Fork of Danilo Peres 'relative-path-navigation' to support more file types.
This repository contains the resources for building my personal website.
Script for the week 9 exercise in the course "Population Genetics on Genomes" at Bioinformatics at Aarhus University.
This repository contains the python module "pyRemoteData" which handles high-bandwidth data transfer with LFTP.
An Interactive Shiny App for accessing the data contained in the "Flora of Koh Chang" by Johannes Schmidt, as well as some other relevant data.
Kode til vildsvineprojekt i Faunaøkologi og Forvaltning
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.