scikit-learn cross validators for iterative stratification of multilabel data
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Updated
Oct 12, 2024 - Python
scikit-learn cross validators for iterative stratification of multilabel data
Time Series Cross-Validation -- an extension for scikit-learn
State-of-the art Automated Machine Learning python library for Tabular Data
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
Automated rejection and repair of bad trials/sensors in M/EEG
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
The implementation of 3D-UNet using PyTorch
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
Spells for everyday living, also a book -- Models Demystified -- now available!
🦅Hyperparameter optimization for machine learning pipelines 🦅
Useful functions to work with PyTorch. At the moment, there is a function to work with cross validation and kernels visualization.
DataFrame support for scikit-learn.
iris数据集的基本数据分析方法,包括KNN,LG,NB,SVM算法。
pyChemometrics - Objects for multivariate analysis of chemometric and metabonomic datasets
Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
Conquering confounds and covariates: methods, library and guidance
Time based splits for cross validation
All codes, both created and optimized for best results from the SuperDataScience Course
Focus on Algorithm Design, Not on Data Wrangling
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