stillsen

2022_Explaining_Heterogeneity_in_Crop_Yield_Prediction_using_Remote_and_Proximal_Sensing

Taxonomic_Rank_Classification_of_Fungi_using_CNN_Image_Classifiers

Master Thesis

Dagstuhl

Taxonomy_Analysis__Fungi_ZooScan

Taxonomic Rank Classification with single- and multilabel CNN, pretrained DenseNet, Apache MXNET Framework

Drug_Analysis

joint-ES-estimate

This repository offers the R script used in Rillig et al. (20XX) to estimate joint effect sizes using bootstrap resampling, to estimate p-values, and to visualize them.

dynamic-training-with-apache-mxnet-on-aws

Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. The system reduces training cost and time by dynamically updating the training cluster size during training, with minimal impact on model training accuracy.