scikit-learn

SUAVEsuavecode/SUAVE

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

sklearn-expertsystmadl/sklearn-expertsys

A scikit-learn compatible classifier that produces human-interpretable decision rules instead of black box models.

CellTypistTeichlab/celltypist

An automated cell type annotation tool for single-cell RNA-seq data using logistic regression classifiers.

open-solution-home-creditneptune-ml/open-solution-home-credit

An open-source machine learning solution for the Home Credit Default Risk Kaggle competition, providing reproducible code and experiments.

Suite2pMouseLand/suite2p

A complete pipeline for processing two-photon calcium imaging data, including registration, ROI detection, signal extraction, and spike deconvolution.

RuleFitchristophM/rulefit

Python implementation of the RuleFit algorithm for interpretable machine learning predictions using rule ensembles.

imbalanced-ensembleZhiningLiu1998/imbalanced-ensemble

A Python library for class-imbalanced ensemble learning with 30+ algorithms, built on scikit-learn.

scikit-rebateEpistasisLab/scikit-rebate

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for machine learning.

PyImSegmBorda/pyImSegm

A Python toolbox for image segmentation featuring superpixel segmentation, object center detection, and region growing with shape priors.

FairMLadebayoj/fairml

A Python toolbox for auditing machine learning models to detect and quantify bias in black-box predictions.

LSTM-Crypto-Price-PredictionSC4RECOIN/LSTM-Crypto-Price-Prediction

Predicts Bitcoin price trends using an LSTM-RNN with technical indicators for automated trading via the Binance API.

scBERTTencentAILabHealthcare/scBERT

A BERT-based foundation model pretrained on large-scale scRNA-seq data for automated cell type annotation in single-cell analysis.

End-To-End Memory Networksdomluna/memn2n

A TensorFlow implementation of End-To-End Memory Networks with a scikit-learn-like interface for bAbI tasks.

skproalan-turing-institute/skpro

A scikit-learn compatible Python library for probabilistic regression, survival analysis, and probability distributions.

Deep stacked residual bidirectional LSTMs for HARguillaume-chevalier/HAR-stacked-residual-bidir-LSTMs

A deep learning architecture using stacked residual bidirectional LSTM cells with TensorFlow for human activity recognition from sensor data.

DeepDTAhkmztrk/DeepDTA

Deep learning model using convolutional neural networks to predict drug-target binding affinity from protein sequences and compound SMILES.

mol2vecsamoturk/mol2vec

An unsupervised machine learning approach to learn vector representations of molecular substructures for cheminformatics.

DescriptaStorusbp-kelley/descriptastorus

A Python library for fast random access to chemical descriptors and molecule indices, optimized for machine learning workflows.

Geosnapspatialucr/geosnap

A Python package for exploring, modeling, and visualizing neighborhood and regional change over time using geospatial data.

PyODDSdatamllab/pyodds

An end-to-end Python outlier detection system with database support, automated machine learning, and unified APIs for statistical, ML, and deep learning models.

scikit-rvmJamesRitchie/scikit-rvm

A scikit-learn compatible Python implementation of the Relevance Vector Machine for sparse Bayesian learning.

CropHarvestnasaharvest/cropharvest

An open-source remote sensing dataset and pipeline for agricultural land use classification, featuring 95,186 datapoints with satellite and climatology data.

BoostARootachasedehan/BoostARoota

A fast feature selection algorithm for tree-based models like XGBoost, designed to outperform Boruta in speed and performance.

Stackingikki407/stacking

A Python library for stacked generalization (ensemble learning) that supports scikit-learn, XGBoost, and Keras models with out-of-fold prediction saving.

Rosettacolumbia-applied-data-science/rosetta

A Python toolkit for text-focused data science on medium-sized datasets, bridging memory and cluster-scale processing.

visualize_MLayush1997/visualize_ML

A Python package for automated univariate and bivariate data analysis and visualization to streamline machine learning workflows.

ChemMLhachmannlab/chemml

A Python machine learning and informatics suite for analyzing, mining, and modeling chemical and materials data.

CellProfiler AnalystCellProfiler/CellProfiler-Analyst

Interactive exploration and analysis software for large, high-dimensional image-derived biological data with supervised machine learning.

RiskInDroidClaudiuGeorgiu/RiskInDroid

A machine learning tool for quantitative risk analysis of Android apps by analyzing declared and actual permission usage.

DH3DJuanDuGit/DH3D

A deep learning approach that unifies global place recognition and local 6DoF pose refinement for robust relocalization in large-scale 3D point clouds.

DrugBANpeizhenbai/DrugBAN

A deep bilinear attention network framework with adversarial domain adaptation for interpretable drug-target interaction prediction.

topicwizardx-tabdeveloping/topic-wizard

Interactive topic model visualization and interpretation library for Python, compatible with sklearn, Gensim, BERTopic, and Turftopic.

Deep Belief Nets for Topic Modelinglarsmaaloee/deep-belief-nets-for-topic-modeling

A Python toolbox using deep belief networks for topic modeling on document data, producing latent representations for content-based recommendation.

Dreamentodreamento/dreamento

An open-source Python toolbox for real-time EEG monitoring, analysis, and sensory stimulation during sleep for dream engineering research.

Pycytominercytomining/pycytominer

A Python package for processing and normalizing high-dimensional morphological feature data from high-throughput cell imaging experiments.

windMLcigroup-ol/windml

A Python framework for accessing wind data sources and performing renewable energy forecasting and prediction.