MLxtend — Peer-reviewed • Rank 26.9 • Science 95%

MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack - Published in JOSS (2018)

PyCM — Peer-reviewed • Rank 22.3 • Science 98%

PyCM: Multiclass confusion matrix library in Python - Published in JOSS (2018)

Learning from Crowds with Crowd-Kit — Peer-reviewed • Rank 17.3 • Science 100%

Learning from Crowds with Crowd-Kit - Published in JOSS (2024)

PyClustering — Peer-reviewed • Rank 20.2 • Science 93%

PyClustering: Data Mining Library - Published in JOSS (2019)

NiaARM — Peer-reviewed • Rank 11.4 • Science 98%

NiaARM: A minimalistic framework for Numerical Association Rule Mining - Published in JOSS (2022)

WordTokenizers.jl — Peer-reviewed • Rank 13.2 • Science 95%

WordTokenizers.jl: Basic tools for tokenizing natural language in Julia - Published in JOSS (2020)

HiPart — Peer-reviewed • Rank 10.8 • Science 93%

HiPart: Hierarchical Divisive Clustering Toolbox - Published in JOSS (2023)

scikit-hubness — Peer-reviewed • Rank 8.4 • Science 93%

scikit-hubness: Hubness Reduction and Approximate Neighbor Search - Published in JOSS (2020)

latentcor — Peer-reviewed • Rank 4.4 • Science 95%

latentcor: An R Package for estimating latent correlations from mixed data types - Published in JOSS (2021)

pypots • Rank 21.6 • Science 77%

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

gensim • Rank 15.8 • Science 77%

Topic Modelling for Humans

sktime • Rank 29.3 • Science 59%

A unified framework for machine learning with time series

lexicalrichness • Rank 15.5 • Science 67%

:smile_cat: :speech_balloon: A module to compute textual lexical richness (aka lexical diversity).

lightgbm • Rank 33.1 • Science 46%

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

https://github.com/alan-turing-institute/clevercsv • Rank 21.7 • Science 57%

CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

ast_monitor • Rank 10.1 • Science 67%

AST-Monitor is a wearable Raspberry Pi computer for cyclists

gsppy • Rank 9.8 • Science 67%

GSP (Generalized Sequence Pattern) algorithm in Python

deepgraph • Rank 15.0 • Science 59%

Analyze Data with Pandas-based Networks. Documentation:

pyprobables • Rank 18.6 • Science 54%

Probabilistic data structures in python http://pyprobables.readthedocs.io/en/latest/index.html

@stdlib/ml-incr-kmeans • Rank 5.5 • Science 67%

Incrementally partition data into `k` clusters.

de.lmu.ifi.dbs.elki • Rank 17.1 • Science 54%

ELKI Data Mining Toolkit

PySPOD — Peer-reviewed • Rank 11.3 • Science 59%

PySPOD: A Python package for Spectral Proper Orthogonal Decomposition (SPOD) - Published in JOSS (2021)

sport-activities-features • Rank 12.6 • Science 57%

A minimalistic toolbox for extracting features from sports activity files written in Python

smart-agriculture-datasets • Rank 2.1 • Science 67%

https://github.com/chaoss/grimoirelab • Rank 19.6 • Science 49%

GrimoireLab: platform for software development analytics and insights

nfstream • Rank 18.1 • Science 49%

NFStream: a Flexible Network Data Analysis Framework.

scibasic • Rank 17.4 • Science 49%

sciBASIC# is a kind of dialect language which is derive from the native VB.NET language, and written for the data scientist.

lasio • Rank 21.3 • Science 44%

Python library for reading and writing well data using Log ASCII Standard (LAS) files

https://github.com/chaoss/grimoirelab-perceval • Rank 18.4 • Science 46%

Send Sir Perceval on a quest to retrieve and gather data from software repositories.

welly • Rank 9.1 • Science 54%

Welly helps with well loading, wireline logs, log quality, data science

dbscan • Rank 15.7 • Science 46%

Theoretically Efficient and Practical Parallel DBSCAN

tested • Rank 2.1 • Science 59%

The best way to test "it" is to watch someone else try to break "it".

classix • Rank 10.6 • Science 49%

Fast and explainable clustering in Python

svgdigitizer • Rank 10.5 • Science 49%

(x,y) Data Points from SVG files

orange3 • Rank 23.4 • Science 36%

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

https://github.com/yzhao062/pyod • Rank 13.3 • Science 46%

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

matminer • Rank 23.2 • Science 36%

Data mining for materials science

aeon • Rank 22.9 • Science 36%

A toolkit for time series machine learning and deep learning

paper-2019-iceis • Rank 1.4 • Science 57%

Detecting Influencers in Very Large Social Networks of Games

CAZy-parser a way to extract information from the Carbohydrate-Active enZYmes Database — Peer-reviewed • Rank 8.8 • Science 49%

CAZy-parser a way to extract information from the Carbohydrate-Active enZYmes Database - Published in JOSS (2016)

genieclust • Rank 16.1 • Science 39%

Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R

https://github.com/firefly-cpp/uarmsolver • Rank 4.7 • Science 49%

universal Association Rule Mining Solver

automlpipeline.jl • Rank 10.2 • Science 39%

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

@stdlib/datasets-fivethirtyeight-ffq • Rank 4.0 • Science 44%

FiveThirtyEight reader responses to a food frequency questionnaire (FFQ).

https://github.com/ermshaua/claspy • Rank 11.1 • Science 36%

ClaSPy: A Python package for time series segmentation.

rmdl • Rank 11.4 • Science 33%

RMDL: Random Multimodel Deep Learning for Classification

https://github.com/business-science/timetk • Rank 20.3 • Science 23%

Time series analysis in the `tidyverse`

combo • Rank 17.1 • Science 23%

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

https://github.com/matrix-profile-foundation/matrixprofile • Rank 17.0 • Science 23%

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

getDEE2 • Rank 11.5 • Science 26%

Programmatic access to the DEE2 RNA expression dataset.

https://github.com/harrymvr/absorbing-centrality • Rank 8.0 • Science 20%

An implementation of the absorbing random-walk centrality

https://github.com/centrefordigitalhumanities/exploring-culture-through-data • Rank 1.1 • Science 26%

Course materials for Summer School by Data School

https://github.com/alibaba/alink • Rank 11.0 • Science 13%

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

https://github.com/baggepinnen/matrixprofile.jl • Rank 6.3 • Science 13%

Time-series analysis using the Matrix profile in Julia

cleandata • Rank 7.5 • Science 10%

R Package "cleandata"

https://github.com/erictleung/ml-portfolio • Rank 1.4 • Science 10%

:book: Experiment with various machine learning algorithms on various data sets from the University of California, Irvine (UCI) Machine Learning Repository (http://archive.ics.uci.edu/ml/index.html)

pygrinder • Science 67%

PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at random), MAR (at random), MNAR (not at random), sub sequence missing, and block missing

eyes • Science 54%

Public Opinion Mining System of Taiwanese Forums

arctic3d • Science 67%

Automatic Retrieval and ClusTering of Interfaces in Complexes from 3D structural information

corpusexplorer.sdk • Science 44%

Korpuslinguistik war noch nie so einfach...

https://github.com/civicdatalab/up-fiscal-data-backend • Science 13%

TSrepr R package — Peer-reviewed • Science 93%

TSrepr R package: Time Series Representations - Published in JOSS (2018)

pybiodatafuse • Science 57%

Python package for biodatafuse project.

src • Science 18%

lua code for a multi-objective optimizer

https://github.com/cvjena/libmaxdiv • Science 10%

Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.

awesome-arm-in-smart-agriculture • Science 67%

A collection of literature on the use of association rule mining methods in smart agriculture

https://github.com/emptymalei/mini-lab • Science 13%

Some code snippets used to explain stuff to myself in my personal data science wiki

https://github.com/desbordante/desbordante-core • Science 49%

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

tap-clinicaltrials • Science 44%

Singer tap for ClinicalTrials.gov study records data.

https://github.com/firefly-cpp/tcxread • Science 26%

A parser for TCX files

https://github.com/grrvlr/tsmd • Science 26%

The TSMD project brings together Motif Discovery methods for Time Series, aiming to compare their performance through well-defined research questions and to simplify their practical use. It provides both guidelines for selecting the most suitable methods based on the data, and accessible implementations of the most relevant approaches.

tsb-uad • Science 26%

An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection

core-periphery-hypergraphs • Science 57%

[KDD 2022] Official Code Release for "Core-periphery Models for Hypergraphs"

https://github.com/cn-tu/py-outlier-detection-stream-data • Science 13%

Outlier Detection in Stream Data with Python. CN contact: Félix Iglesias

https://github.com/avallecam/cdcper • Science 13%

Miscelanea de funciones customizadas a tareas de análisis en CDC Perú

awesome-production-machine-learning • Science 62%

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

data-mining • Science 18%

Data mining notebooks and scripts

https://github.com/equinor/timeseriesanalysis • Science 26%

Library that combines control engineering, dynamic simulation and machine learning on time-series. Developed to describe industrial processes and -automation. Lightweight, robust and fast for use in advanced analytics. Built on .NET to run anywhere.

https://github.com/centrefordigitalhumanities/gabber • Science 31%

A project for the Data School.

shortr • Science 54%

A little lab of learning algorithms (in LUA). Less XAI, but better

https://github.com/amr-yasser226/data-mining-and-information-retrieval • Science 26%

Revision notes and MCQs for DSAI 201 – Data Mining and Information Retrieval. Includes lecture summaries, algorithm overviews, and practice questions to support course preparation and review.

nuggets • Science 57%

R package for searching of patterns in subspaces described with elementary conjunctions

https://github.com/robelgium/msnoise • Science 59%

A Python Package for Monitoring Seismic Velocity Changes using Ambient Seismic Noise | http://www.msnoise.org

socialmediaegographanalysis • Science 31%

Ego Graph Analysis on Social Media.

tsdb • Science 67%

a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather, and etc.