scikit-learn cross validators for iterative stratification of multilabel data
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Updated
Jun 6, 2022 - 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
🦅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。
Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
Conquering confounds and covariates: methods, library and guidance
pyChemometrics - Objects for multivariate analysis of chemometric and metabonomic datasets
Focus on Algorithm Design, Not on Data Wrangling
All codes, both created and optimized for best results from the SuperDataScience Course
Time based splits for cross validation
TorchHandle makes your PyTorch development more efficient and make you use PyTorch more comfortable
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