The LaTeX and Python code for generating the paper, experiments' results and visualizations reported in each paper
The LaTeX and Python code for generating the paper, experiments' results and visualizations reported in each paper
Trendyol Smartphone Price Prediction
Trendyol Smartphone Price Prediction
Painless Machine Learning for python based on scikit-learn
Painless Machine Learning for python based on scikit-learn
A real-time speech emotion recognition application using Scikit-learn and gradio
A real-time speech emotion recognition application using Scikit-learn and gradio
To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn
To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn
Amazon SageMaker Delta Sharing Examples
Amazon SageMaker Delta Sharing Examples
LRBoost: a scikit-learn compatible approach to performing linear residual based stacking/boosting
LRBoost: a scikit-learn compatible approach to performing linear residual based stacking/boosting
Repository Status for Scikit-learn
Repository Status for Scikit-learn
Scikit-learn: machine learning in Python
Scikit-learn: machine learning in Python
Scikit-Learn useful pre-defined Pipelines Hub
Scikit-Learn useful pre-defined Pipelines Hub
Scikit learn library models to account for data and concept drift
Scikit learn library models to account for data and concept drift
Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets
Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets
Scikit learn library models to account for data and concept drift
Scikit learn library models to account for data and concept drift
SparseLasso: Sparse Solutions for the Lasso
SparseLasso: Sparse Solutions for the Lasso
Open standard for machine learning interoperability
Open standard for machine learning interoperability
Iris species predictor app is used to classify iris species created using python's scikit-learn, fastapi, numpy and joblib packages
Iris species predictor app is used to classify iris species created using python's scikit-learn, fastapi, numpy and joblib packages.
AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance
AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance
Sparkit-learn aims to provide scikit-learn functionality and API on PySpark
Sparkit-learn aims to provide scikit-learn functionality and API on PySpark
Faster, Leaner GPU Sklearn, Statsmodels written in PyTorch
Faster, Leaner GPU Sklearn, Statsmodels written in PyTorch
A Python module capable of performing multi-label learning tasks
A Python module capable of performing multi-label learning tasks
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
Automated Machine Learning with scikit-learn
Automated Machine Learning with scikit-learn
Machine learning template for projects based on sklearn library
Machine learning template for projects based on sklearn library
Extreme Learning Machine implementation in Python
Extreme Learning Machine implementation in Python
Relevance Vector Machine implementation using the scikit-learn API
Relevance Vector Machine implementation using the scikit-learn API
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch
Interpreting scikit-learn's decision tree and random forest predictions
Interpreting scikit-learn's decision tree and random forest predictions.
Sklearn-pandas: Pandas integration with sklearn
Sklearn-pandas: Pandas integration with sklearn
A feature engineering wrapper for sklearn
A feature engineering wrapper for sklearn
A scikit-learn-compatible Python implementation of Multifactor Dimensionality Reduction
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
The Boruta all-relevant feature selection method in python
Python implementations of the Boruta all-relevant feature selection method.
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
Scikit-learn compatible estimation of general graphical models
Scikit-learn compatible estimation of general graphical models
scikit-learn inspired API for CRFsuite
scikit-learn inspired API for CRFsuite
Genetic Programming in Python, with a scikit-learn inspired API
Genetic Programming in Python, with a scikit-learn inspired API
Genetic feature selection module for scikit-learn
Genetic feature selection module for scikit-learn
Use evolutionary algorithms instead of gridsearch in scikit-learn
Use evolutionary algorithms instead of gridsearch in scikit-learn
SigOpt wrappers for scikit-learn methods
This package implements useful interfaces and wrappers for using SigOpt and scikit-learn together
A scikit-learn compatible neural network library that wraps PyTorch
A scikit-learn compatible neural network library that wraps PyTorch.