Ecosyste.ms: Packages

An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.

pypi.org "model selection" keyword

adversarial-labeller 0.1.8
Sklearn compatiable model instance labelling tool to help validate models in situations involving...
7 versions - Latest release: over 4 years ago - 87 downloads last month - 3 stars on GitHub - 1 maintainer
Top 6.1% on pypi.org
optunity 1.1.1
Optimization routines for hyperparameter tuning.
6 versions - Latest release: over 8 years ago - 10 dependent repositories - 4.79 thousand downloads last month - 414 stars on GitHub - 2 maintainers
mquad 0.1.8
MQuad - Mixture Modelling for Mitochondrial Mutation detection
9 versions - Latest release: 7 days ago - 1 dependent repositories - 52 downloads last month - 12 stars on GitHub - 4 maintainers
dynapipe 0.2.3
Dynamic Pipeline is a high-level API to help data scientists building models in ensemble way, and...
19 versions - Latest release: almost 4 years ago - 1 dependent repositories - 111 downloads last month - 2 maintainers
phylodeep 0.3.1
Phylodynamic paramater and model inference using pretrained deep neural networks.
74 versions - Latest release: over 1 year ago - 1 dependent repositories - 317 downloads last month - 17 stars on GitHub - 4 maintainers
hyperengine 0.1.1
Python library for Bayesian hyper-parameters optimization
1 version - Latest release: about 6 years ago - 6 dependent repositories - 9 downloads last month - 85 stars on GitHub - 2 maintainers
bayesloop 1.5.7
Probabilistic programming framework that facilitates objective model selection for time-varying p...
15 versions - Latest release: over 1 year ago - 1 dependent repositories - 64 downloads last month - 135 stars on GitHub - 2 maintainers
mindfoundry-optaas-client 1.4.4
Mind Foundry Optimization as a Service: Python Client
22 versions - Latest release: 4 months ago - 1 dependent repositories - 124 downloads last month - 4 maintainers
Top 8.8% on pypi.org
tscv 0.1.3
Time series cross-validation
9 versions - Latest release: over 1 year ago - 1 dependent package - 1 dependent repositories - 587 downloads last month - 247 stars on GitHub - 1 maintainer
exp-mixture-model 1.0.0
Maximum likelihood estimation and model selection of EMMs
1 version - Latest release: about 5 years ago - 1 dependent repositories - 62 downloads last month - 2 stars on GitHub - 2 maintainers
lccv 0.2.2
The official Learning Curve Database package
10 versions - Latest release: about 2 months ago - 52 downloads last month - 5 stars on GitHub - 2 maintainers
optimalflow 0.1.11
OptimalFlow is an Omni-ensemble Automated Machine Learning toolkit to help data scientists buildi...
13 versions - Latest release: over 3 years ago - 1 dependent repositories - 25 downloads last month - 27 stars on GitHub - 2 maintainers
model-confidence-set 0.1.1
model-confidence-set provides a Python implementation of the Model Confidence Set (MCS) procedure...
2 versions - Latest release: about 2 months ago - 40 downloads last month - 5 stars on GitHub - 2 maintainers
antimonycombinations 0.0.3
3 versions - Latest release: over 4 years ago - 19 downloads last month - 0 stars on GitHub - 1 maintainer
featuristic 1.1.0
Genetic algorithms for automated feature engineering and feature selection
5 versions - Latest release: about 1 month ago - 402 downloads last month - 0 stars on GitHub - 2 maintainers
Related Keywords
machine-learning 5 model-selection 5 machine learning 4 data-science 3 deep-learning 2 automl 2 hyper-parameters 2 bayesian optimization 2 model evaluation 2 hyperparameter-optimization 2 features selection 2 python 2 optimization 2 hyperparameter optimization 2 time-series-analysis 1 bayesian 1 hyperparameter 1 automated-feature-preprocessor 1 backtesting 1 Machine Learning Web App 1 omni-ensemble machine learning 1 cross-validation 1 AutoML 1 time-series 1 tuning-parameters 1 automated machine learning 1 cross validation 1 exponential mixture model 1 sklearn 1 learning curves 1 normalized maximum likelihood 1 scikit-learn 1 feature-selection 1 feature-engineering 1 automated-feature-engineering 1 hyperparameter tuning 1 genetic algorithm 1 feature selection 1 feature engineering 1 data 1 model merging 1 combinations 1 tellurium 1 antimony 1 SBML 1 performance-evaluation 1 model-confidence-set 1 financial econometrics 1 econometrics 1 predictive accuracy 1 model performance analysis 1 statistical model comparison 1 model confidence set 1 ensemble-machine-learning 1 ensemble-encoder 1 automated-machine-learning 1 probabilistic-programming 1 molecular epidemiology 1 phylodynamics 1 ensemble pipelines 1 pipeline cluster traversal experiments 1 pipeline cluster 1 model preprocessing 1 auto machine learning 1 single-cell-sequencing 1 mitochondria-variant 1 lineage-reconstruction 1 binomial mixture model 1 single-cell omics data 1 mitochondrial mutation 1 particle swarm optimization 1 direct search 1 meta-optimization 1 parameter tuning 1 imbalanced-learning 1 data-drift 1 adversarial-machine-learning 1 data drift 1 validation 1 bayesian-inference 1 anomaly-detection 1 marginal likelihood 1 time-varying 1 time series 1 hypothesis testing 1 fitting 1 inference 1 bayes 1 tensorflow 1 random-search 1 optimization-algorithms 1 neural-network 1 gaussian-processes 1 convolutional-neural-networks 1 big-data 1 bayesian-optimization 1 convolutional networks 1 deep learning 1 phylodeep 1 paramdeep 1