Reverse Dependencies of mlxtend

The following projects have a declared dependency on mlxtend:

• adasher — Dash with analytics utilities
• aif360 — IBM AI Fairness 360
• anai-opensource — Automated ML
• anoapycore — Anoa Python Core Package
• autoarm — AutoARM simplifies and automates association rule mining and related tasks.
• backtester — A backtesting for timeseries data in a pandas dataframe
• bizkit — A package that streamlines business data analytics
• Cannai — data visualization for machine learning
• chady — A package for ML libraries
• datascienv — Data Science package for setup data science environment in single line
• declare4py — Python library to perform discovery, conformance checking and query checking of DECLARE constraints.
• deep-kolibri — Deep Learning and more NLP toolkit
• DeepGapSeq — An smFRET analysis package, including deeplearning for gap state identification
• describer-ml — A set of descriptive statistics and hypothesis tests
• dishook-py — discord webhook client.
• divexplorer — Analyze Pandas dataframes, and other tabular data (csv), to find subgroups of data with properties that diverge from those of the overall dataset
• dorkylever-lama-phenotype-detection — Phenotype detection pipeline for finding abnormalities in mouse embryos
• drifter-ml — Testing for models confirming to the scikit-learn api
• enade-py — A library for facilitating data analysis over Enade microdata
• erexplain — library to explain models for Entity Resolution
• evolutionary-forest — An open source python library for automated feature engineering based on Genetic Programming
• explainy — explainy is a library for generating explanations for machine learning models in Python. It uses methods from Machine Learning Explainability and provides a standardized API to create feature importance explanations for samples. The explanations are generated in the form of plots and text.
• feature-selectionpy — A Python feature selection project
• Galaxy-ML — Galaxy Machine Learning Library
• genereg — A library for analyzing the regulation systems of target genes belonging to genomic pathways relevant for a specific cancer type.
• geoz — A Library to convert Unsupervised Clustering Results into Geographical Maps
• GMSDB — GMSDB Clusterer
• gmsdblib — GMSDB Clusterer
• Hive-ML — Python package to run Machine Learning Experiments, within the Hive Framework.
• imodels — Implementations of various interpretable models
• investsai — a SAI algorithm to rank securities
• kkpyai — Utility over popular low-level AI API
• loci-st — LOCI is a component providing functionalities for analysing, mining, and visualizing spatial and temporal data.
• luntaiDs — Make Data Scientist life Easier Tool
• mAdvisor — An automated AI/ML solution from Marlabs
• MagicSelection — feature selection method with support for combined features
• mba — Market Basket Analysis.
• minos-judge — Demo library
• mll — A machine learning language that have a specific grammar made to simplify large and complex machine learning and deep learning tasks
• mlmachine — Accelerate machine learning experimentation
• MLOne — A Python package with which users can just drop their dataset and download the best ML model for their dataset
• mlrap — Machine Learning Regression Analyse Packages
• modelsight — Better insights into Machine Learning models performance
• moses-crossval — A tool to run cross-validation using moses
• p-tlkc-privacy — TLKC-privacy model for process mining
• p-tlkc-privacy-ext — TLKC-privacy model for process mining
• petanalysis — The TIC wrapper API allows you to access the analysis on thousands of pets listed on Petfinder.com and animal welfare shelters hosting these pets.
• picai-eval — PICAI Evaluation
• picklepie — a Python Package
• prenigma-automl — prenigma_automl - An open source, low-code machine learning library.
• prenigmaautoml — prenigma_automl - An open source, low-code machine learning library.
• Prism — PRISM: An alternative to MCMC for rapid analysis of models
• protlearn — A Python package for extracting protein sequence features
• punditkit — PunditKit: A GUI for Scikit-Learn Models
• py-packman — A software package for molecular PACKing and Motion ANalysis (PACKMAN)
• pyBigKinds — BigKinds Data Analysis Toolkit for python
• pycaret — PyCaret - An open source, low-code machine learning library in Python.
• pycaret-nightly — Nightly version of PyCaret - An open source, low-code machine learning library in Python.
• pycaret-ts-alpha — PyCaret - An open source, low-code machine learning library in Python.
• pyrarecomb — A python tool to identify oligogenic combinations of genes with rare variants
• pyxvis — Python package for Xvis toolbox
• qrmine — Qualitative Research support tools in Python!
• raimitigations — Python library for implementing and exploring mitigations for Responsible AI.
• randomizer-ml — Training for models conforming to the scikit-learn api
• relionai — Comprehensive ML Testing directly into your stack with just a few lines of code
• rule-mining-algs — The package contains a few selected association rule mining algorithms.
• scikit-physlearn — A machine learning library for regression.
• seaborn-analyzer — seaborn-analyzer: data visualization of regression, classification and distribution
• slipo-loci — A high-level library for analyzing Points and Areas of Interest
• spotfire-dsml — Toolkit for data science and machine learning built by Spotfire
• thext — THExt - Transformer-based Highlights Extraction
• ToolBiox — a biological toolkit for genome assembly, annotation and analysis that we have accumulated from our bioinformatics work
• tui-dsmt — everything you need for our jupyter notebooks