scikit-learn

hyperopt-sklearnhyperopt/hyperopt-sklearn

Hyperopt-sklearn automates hyperparameter optimization and model selection for scikit-learn machine learning pipelines.

boruta_pyscikit-learn-contrib/boruta_py

Python implementation of the Boruta all-relevant feature selection method with scikit-learn compatibility.

imodelscsinva/imodels

A Python package for concise, transparent, and accurate predictive modeling with sklearn-compatible interpretable models.

scikit-featurejundongl/scikit-feature

An open-source Python repository providing around 40 feature selection algorithms for machine learning applications.

MLeapcombust/mleap

MLeap is a portable execution engine for deploying machine learning pipelines from Spark and Scikit-learn without their runtime dependencies.

Intel(R) Extension for Scikit-learnintel/scikit-learn-intelex

A free software AI accelerator that speeds up scikit-learn applications by 10-100x on CPUs and GPUs with no code changes.

Hyperparameter-Optimization-of-Machine-Learning-AlgorithmsLiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization methods for ML/DL models with sample code for regression and classification tasks.

sklearn-porternok/sklearn-porter

Transpile trained scikit-learn estimators to C, Java, JavaScript, Go, PHP, and Ruby for embedded systems and performance-critical applications.

Xcessivreiinakano/xcessiv

A web-based tool for automated hyperparameter tuning and stacked ensemble creation in Python.

mlforecastNixtla/mlforecast

A Python framework for scalable time series forecasting using machine learning models, designed for production environments.

Emberelastic/ember

An open dataset and toolkit for training static PE malware machine learning models, featuring millions of labeled Windows executable samples.

Emberendgameinc/ember

An open dataset and toolkit for training static PE malware machine learning models, featuring extracted features from millions of Windows executable files.

fastFMibayer/fastFM

A Python library implementing Factorization Machines with a scikit-learn compatible API for regression, classification, and ranking tasks.

Predict time seriesguillaume-chevalier/seq2seq-signal-prediction

A TensorFlow-based educational project for learning seq2seq RNNs through signal forecasting exercises.

scikit-multilearnscikit-multilearn/scikit-multilearn

A scikit-learn compatible Python module for multi-label classification tasks.

pyFMcoreylynch/pyFM

A Python implementation of Factorization Machines for recommendation and classification tasks using stochastic gradient descent with adaptive regularization.

A chess AI that learns to play chess using deep learning.erikbern/deep-pink

A chess AI that learns to play chess using deep learning and neural networks.

zheyemuchrooms/zheye

A convolutional neural network program that identifies inverted Chinese character captchas used by Zhihu for login verification.

data_hackingClickSecurity/data_hacking

A collection of IPython notebooks demonstrating data analysis and machine learning techniques on security datasets.

tffmgeffy/tffm

TensorFlow implementation of arbitrary order (≥2) Factorization Machines for classification and regression tasks.

MIDAS: Detecting Microcluster Anomalies in Edge Streamsbhatiasiddharth/MIDAS

A real-time anomaly detection algorithm for dynamic graph streams, identifying intrusions, fraud, and fake ratings with constant memory and update time.

sklearn-deaprsteca/sklearn-deap

A scikit-learn compatible hyperparameter optimization tool using evolutionary algorithms instead of grid search.

CHIEFhms-dbmi/CHIEF

A general-purpose foundation model for cancer diagnosis and prognosis prediction from histopathology whole-slide images.

chainer-chemistrypfnet-research/chainer-chemistry

A deep learning library built on Chainer for molecular property prediction using graph convolutional neural networks.

Reproducible Experiment Platform (REP)yandex/rep

IPython-based environment for reproducible machine learning research with unified wrappers for multiple ML libraries.

vecstackvecxoz/vecstack

A Python package for stacking (stacked generalization) with both functional and scikit-learn compatible APIs.

profanity-checkvzhou842/profanity-check

A fast, robust Python library to detect offensive language in text using a machine learning model.

Gym-Malwareendgameinc/gym-malware

A reinforcement learning environment for training AI agents to manipulate malware samples and evade static machine learning detection.

AutoML-Implementation-for-Static-and-Dynamic-Data-AnalyticsWestern-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

An AutoML implementation and tutorial for automating machine learning pipelines on both static datasets and dynamic data streams, with a focus on IoT anomaly detection.

Data science your wayjadianes/data-science-your-way

A tutorial series comparing how to implement data science concepts and build applications in both Python and R ecosystems.

MusicGenreClassificationmlachmish/MusicGenreClassification

Classify music genre from a 10-second audio stream using a convolutional neural network trained on mel-frequency spectrograms.

ipython-notebooksogrisel/notebooks

A collection of IPython notebooks containing machine learning experiments and examples using scikit-learn and related Python libraries.

TabGANDiyago/Tabular-data-generation

A Python library for generating high-quality synthetic tabular data using GANs, diffusion models, and large language models.

SOMPYsevamoo/SOMPY

A Python library implementing Self-Organizing Maps (SOM) with batch training, PCA initialization, and visualization tools.

Auto_ViMLAutoViML/Auto_ViML

Automatically builds high-performance interpretable machine learning models with minimal features using a single line of code.

SUAVEsuavecode/SUAVE

A multi-fidelity conceptual design environment for modeling future aircraft with advanced technologies.