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biomodelsML |
biomodels_biomd0000001066, biomodels_biomd0000001076 |
Wrappers for tools to bring BioModels AI models into Galaxy. |
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To update |
https://www.ebi.ac.uk/biomodels/ |
Machine Learning |
biomodels |
bgruening |
https://github.com/bgruening/galaxytools/tree/master/tools |
https://github.com/bgruening/galaxytools/tree/master/tools/biomodelsML |
1.1 |
|
|
|
|
0 |
0 |
2 |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
13 |
|
|
chatgpt |
chatgpt_openai_api |
Using the OpenAI GPT models to generate text based on user input. |
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To update |
https://github.com/bgruening/galaxytools/tree/master/tools/chatgpt |
Machine Learning |
chatgpt_openai_api |
bgruening |
https://github.com/bgruening/galaxytools/tree/master/tools/chatgpt |
https://github.com/bgruening/galaxytools/tree/master/tools/chatgpt |
2024 |
python |
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|
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0 |
0 |
1 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
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chopin2 |
chopin2 |
Domain-Agnostic Supervised Learning with Hyperdimensional Computing |
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To update |
https://github.com/cumbof/chopin2 |
Machine Learning |
chopin2 |
iuc |
https://github.com/galaxyproject/tools-iuc/tree/master/tools/chopin2 |
https://github.com/galaxyproject/tools-iuc/tree/main/tools/chopin2 |
1.0.9.post1 |
chopin2 |
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1 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
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decontaminator |
decontaminator |
Deep Learning method for novel virus detection in sequencing data |
decontaminator |
decontaminator |
|
decontaminator |
Decontaminator is a deep learning helping tool that filters out phage or fungi contigs from plant virome RNAseq assemblies. |
Filtering |
Metagenomics |
To update |
https://github.com/cbib/decontaminator |
Machine Learning |
decontaminator |
iuc |
https://github.com/galaxyproject/tools-iuc/tree/master/tools/decontaminator |
https://github.com/galaxyproject/tools-iuc/tree/main/tools/decontaminator |
1.0.0 |
numpy |
|
Filtering |
Metagenomics |
0 |
0 |
1 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
15 |
99 |
|
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deepmicro |
deepmicro |
Representation learning and classification framework |
DeepMicro |
DeepMicro |
|
DeepMicro |
Deep representation learning for disease prediction based on microbiome data.DeepMicro is a deep representation learning framework exploiting various autoencoders to learn robust low-dimensional representations from high-dimensional data and training classification models based on the learned representation. |
Essential dynamics, Splitting, Community profiling |
Microbial ecology, Machine learning, Pathology, Public health and epidemiology, Allergy, clinical immunology and immunotherapeutics |
Up-to-date |
https://github.com/paulzierep/DeepMicro |
Machine Learning |
deepmicro |
iuc |
https://github.com/paulzierep/DeepMicro |
https://github.com/galaxyproject/tools-iuc/tree/main/tools/deepmicro |
1.4 |
deepmicro |
1.4 |
Essential dynamics, Splitting |
Microbial ecology, Machine learning, Pathology, Public health and epidemiology, Allergy, clinical immunology and immunotherapeutics |
0 |
0 |
1 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
3 |
501 |
|
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flexynesis |
flexynesis |
This is a deep-learning based multi-omics bulk sequencing data integration suite with a focus on (pre-)clinical endpoint prediction. |
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|
Up-to-date |
https://github.com/BIMSBbioinfo/flexynesis/tree/main |
Machine Learning, Statistics, Systems Biology |
flexynesis |
iuc |
https://github.com/galaxyproject/tools-iuc/tree/master/tools/flexynesis |
https://github.com/bgruening/galaxytools/tree/master/tools/flexynesis |
0.2.10 |
flexynesis |
0.2.10 |
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0 |
0 |
1 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
sklearn |
sklearn_mlxtend_association_rules, sklearn_clf_metrics, sklearn_discriminant_classifier, sklearn_ensemble, sklearn_estimator_attributes, sklearn_feature_selection, sklearn_fitted_model_eval, sklearn_generalized_linear, keras_batch_models, keras_model_builder, keras_model_config, keras_train_and_eval, sklearn_label_encoder, sklearn_lightgbm, ml_visualization_ex, model_prediction, sklearn_model_validation, sklearn_nn_classifier, sklearn_numeric_clustering, sklearn_pairwise_metrics, sklearn_pca, sklearn_build_pipeline, sklearn_data_preprocess, sklearn_regression_metrics, sklearn_sample_generator, sklearn_searchcv, sklearn_model_fit, scipy_sparse, stacking_ensemble_models, sklearn_svm_classifier, sklearn_to_categorical, sklearn_train_test_eval, sklearn_train_test_split |
Machine Learning tool suite from Scikit-learn |
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To update |
http://scikit-learn.org |
Machine Learning, Statistics |
sklearn |
bgruening |
https://github.com/bgruening/galaxytools/tree/master/tools/sklearn |
https://github.com/bgruening/galaxytools/tree/master/tools/sklearn |
1.0.11.0 |
|
|
|
|
30 |
14 |
31 |
16 |
30 |
14 |
31 |
16 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
31 |
27 |
0 |
958 |
113932 |
|
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tool_recommendation_model |
create_tool_recommendation_model |
Create model to recommend tools |
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To update |
https://github.com/bgruening/galaxytools |
Machine Learning |
create_tool_recommendation_model |
bgruening |
https://github.com/bgruening/galaxytools/tree/recommendation_training/tools/tool_recommendation_model |
https://github.com/bgruening/galaxytools/tree/master/tools/tool_recommendation_model |
0.0.5 |
python |
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1 |
0 |
1 |
0 |
1 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
0 |
15 |
445 |
|
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virhunter |
virhunter |
Deep Learning method for novel virus detection in sequencing data |
virhunter |
virhunter |
|
VirHunter |
VirHunter is a deep learning method that uses Convolutional Neural Networks (CNNs) and a Random Forest Classifier to identify viruses in sequencing datasets. More precisely, VirHunter classifies previously assembled contigs as viral, host, and bacterial (contamination). |
Sequence classification |
Virology |
To update |
https://github.com/cbib/virhunter |
Machine Learning |
virhunter |
iuc |
https://github.com/galaxyproject/tools-iuc/tree/master/tools/VirHunter |
https://github.com/galaxyproject/tools-iuc/tree/main/tools/virhunter |
1.0.0 |
numpy |
|
Sequence classification |
Virology |
0 |
0 |
1 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
40 |
234 |
|
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whisper |
whisper |
Transcribe audio or video files to text using the OpenAI Whisper. |
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To update |
https://github.com/bgruening/galaxytools/tree/master/tools/whisper |
Machine Learning |
whisper |
bgruening |
https://github.com/bgruening/galaxytools/tree/master/tools/whisper |
https://github.com/bgruening/galaxytools/tree/master/tools/whisper |
20231117 |
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0 |
0 |
1 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
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