GitHub - rasbt/mlxtend: A library of extension and helper modules for Python’s data analysis and machine learning libraries.

scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation

GitHub - scikit-multilearn/scikit-multilearn: A scikit-learn based module for multi-label et. al. classification

A scikit learn based module for multi label et al classification git hub scikit multilearn scikit multilearn a scikit learn based module for multi label et al classification

GitHub - tmadl/sklearn-expertsys: 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 git hub tmadl sklearn expertsys highly interpretable classifiers for sc

GitHub - jundongl/scikit-feature: open-source feature selection repository in python

Open source feature selection repository in python git hub jundongl scikit feature open source feature selection repository in python

GitHub - EpistasisLab/scikit-rebate: 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 re bate a suite of relief based feature selection algorithms for machine learning git hub epistasis lab scikit rebate a scikit learn compatibl

GitHub - larsmans/seqlearn: Sequence learning toolkit for Python

Sequence learning toolkit for python contribute to larsmans seqlearn development by creating an account on git hub

GitHub - AmazaspShumik/sklearn-bayes: Python package for Bayesian Machine Learning with scikit-learn API

Python package for bayesian machine learning with scikit learn api git hub amazasp shumik sklearn bayes python package for bayesian machine learning with scikit learn api

GitHub - TeamHG-Memex/sklearn-crfsuite: scikit-learn inspired API for CRFsuite

Scikit learn inspired api for cr fsuite contribute to team hg memex sklearn crfsuite development by creating an account on git hub

GitHub - rsteca/sklearn-deap: Use evolutionary algorithms instead of gridsearch in scikit-learn

Use evolutionary algorithms instead of gridsearch in scikit learn git hub rsteca sklearn deap use evolutionary algorithms instead of gridsearch in scikit learn

GitHub - sigopt/sigopt-sklearn: SigOpt wrappers for scikit-learn methods

Sig opt wrappers for scikit learn methods contribute to sigopt sigopt sklearn development by creating an account on git hub

GitHub - edublancas/sklearn-evaluation: Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

Machine learning model evaluation made easy plots tables html reports experiment tracking and jupyter notebook analysis git hub edublancas sklearn evaluation machine learning model evaluat

GitHub - scikit-image/scikit-image: Image processing in Python

Image processing in python contribute to scikit image scikit image development by creating an account on git hub

GitHub - guofei9987/scikit-opt: Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Genetic algorithm particle swarm optimization simulated annealing ant colony optimization algorithm immune algorithm artificial fish swarm algorithm differential evolution and tsp traveling sa

GitHub - maximtrp/scikit-posthocs: Multiple Pairwise Comparisons (Post Hoc) Tests in Python

Multiple pairwise comparisons post hoc tests in python git hub maximtrp scikit posthocs multiple pairwise comparisons post hoc tests in python

GitHub - pystruct/pystruct: Simple structured learning framework for python

Simple structured learning framework for python contribute to pystruct pystruct development by creating an account on git hub

Shogun

GitHub - aksnzhy/xlearn: High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

High performance easy to use and scalable machine learning ml package including linear model lr factorization machines fm and field aware factorization machines ffm for python and cli

GitHub - rapidsai/cuml: cuML - RAPIDS Machine Learning Library

Cu ml rapids machine learning library contribute to rapidsai cuml development by creating an account on git hub

GitHub - uber/causalml: Uplift modeling and causal inference with machine learning algorithms

Uplift modeling and causal inference with machine learning algorithms git hub uber causalml uplift modeling and causal inference with machine learning algorithms

GitHub - mlpack/mlpack: mlpack: a scalable C++ machine learning library --

Mlpack a scalable c machine learning library git hub mlpack mlpack mlpack a scalable c machine learning library

GitHub - modAL-python/modAL: A modular active learning framework for Python

A modular active learning framework for python contribute to mod al python mod al development by creating an account on git hub

GitHub - lensacom/sparkit-learn: PySpark + Scikit-learn = Sparkit-learn

Py spark scikit learn sparkit learn contribute to lensacom sparkit learn development by creating an account on git hub

GitHub - danielhanchen/hyperlearn: Waiting hours for a future prediction is unacceptable. Hyperlearn makes AI and ML algorithms 50% faster, use 90% less memory and doesn’t require you to use new hardware! ML Algorithms like PCA, Linear Regression, NMF are all faster!

Waiting hours for a future prediction is unacceptable hyperlearn makes ai and ml algorithms 50 faster use 90 less memory and doesn 39 t require you to use new hardware ml algorithms like pca

GitHub - davisking/dlib: A toolkit for making real world machine learning and data analysis applications in C++

A toolkit for making real world machine learning and data analysis applications in c git hub davisking dlib a toolkit for making real world machine learning and data analysis applications in c

GitHub - christophM/rulefit: Python implementation of the rulefit algorithm

Python implementation of the rulefit algorithm contribute to christoph m rulefit development by creating an account on git hub

GitHub - dswah/pyGAM: [HELP REQUESTED] Generalized Additive Models in Python

Help requested generalized additive models in python git hub dswah py gam help requested generalized additive models in python