Pinned Repositories
Architect
GenomeNet Architect: Bayesian Optimization of Genome Sequence Analysis Deep Learning Models.
Architect_data
BacteriaNet
Prediction of bacterial phenotypes using deep learning
deepG
DeepG, or 'Deep Genomics', is a R library which allows to train and apply deep neural networks on genomic datasets
Genome-NAS
Neural Architecture Search for Genomic Sequence Data
GenomeNet-responseViewer
Visualization of state responses of GenomeNet
GenomNet_MA
Neural Architecture Search for GenomeNet
jupyter-deepg-notebook
model_recipes
GenomeNet conda recipes
Self-GenomeNet
A method that utilizes unlabeled genomic data to address the challenge of limited data availability through self-training
GenomeNet's Repositories
GenomeNet/deepG
DeepG, or 'Deep Genomics', is a R library which allows to train and apply deep neural networks on genomic datasets
GenomeNet/Self-GenomeNet
A method that utilizes unlabeled genomic data to address the challenge of limited data availability through self-training
GenomeNet/Architect
GenomeNet Architect: Bayesian Optimization of Genome Sequence Analysis Deep Learning Models.
GenomeNet/GenomeNet-responseViewer
Visualization of state responses of GenomeNet
GenomeNet/VirusNet
Prediction of viruses and their genus taxonomy using deep learning
GenomeNet/BacteriaNet
Prediction of bacterial phenotypes using deep learning
GenomeNet/Genome-NAS
Neural Architecture Search for Genomic Sequence Data
GenomeNet/GenomNet_MA
Neural Architecture Search for GenomeNet
GenomeNet/Architect-data-2
GenomeNet/Architect_data
GenomeNet/bacdive-phenotype
GenomeNet/imputation
GenomeNet/jupyter-deepg-notebook
GenomeNet/model_recipes
GenomeNet conda recipes
GenomeNet/Muench_et_al_2024
Code to reproduce Figures and Tables for the Münch et al. 2024 manuscript
GenomeNet/Tools
DeepG containers with trained models
GenomeNet/genomenet_helper
Helper scripts to manage training datasets
GenomeNet/Labs
genomenet.de platform
GenomeNet/microbe.cards
microbe.cards is an auto-generated wiki for microbes, powered by large language models (LLMs). It provides LLM-derived characterizations of phenotypes and properties for over 12,000 bacterial species, offering researchers a quick reference tool for microbial information synthesized from diverse sources.
GenomeNet/microbeLLM
MicrobeLLM is a Python tool that harnesses the power of large language models (LLMs) for microbial phenotype prediction.
GenomeNet/S4L_GenomeNet
Representation learning for genomic datasets
GenomeNet/transformR
R implementation of Transformer architecture (Vaswani et al. 2017)
GenomeNet/wavenet
Keras implementation of WaveNet in R