Reverse Dependencies of imbalanced-learn

The following projects have a declared dependency on imbalanced-learn:

• accelerometer — A package to extract meaningful health information from large accelerometer datasets e.g. how much time individuals spend in sleep, sedentary behaviour, walking and moderate intensity physical activity
• actinet — Activity detection algorithm compatible with the UK Biobank Accelerometer Dataset
• adaptivepca — An advanced PCA implementation with adaptive feature scaling and preprocessing
• advanced-data-processing — An advanced data processing pipeline for machine learning workflows
• advdpp — An advanced data processing pipeline
• adversarial-labeller — Sklearn compatiable model instance labelling tool to help validate models in situations involving data drift.
• aequilibrium — Python package for classification of imbalanced data.
• aideml — Autonomous AI for Data Science and Machine Learning
• Aitomatic-Contrib — Aitomatic Contrib
• ale-uy — Tool to perform data cleaning, modeling and visualization in a simple way.
• alphaml — Build a CLETE Binary Classification Model
• alphapy — AlphaPy: A Machine Learning Pipeline for Speculators
• anai-opensource — Automated ML
• animal-classification — classification of animals using machine learning models
• anoapycore — Anoa Python Core Package
• ASAPPpy — Semantic Textual Similarity and Dialogue System package for Python
• AstroSubtractor — Machine learning classifier
• atom-ml — A Python package for fast exploration of machine learning pipelines
• AutoDataPreprocess — A high-level library for automatic preprocessing of tabular data
• autolr — A simple package for automatic logistic regression
• AutomatedCleaning — Automated Data Cleaning Library
• AutoMLBench — A Python package for automated ML model benchmarking and comparison
• automlkiller — Auto machine learning, deep learning library in Python.
• autoneuro-pypi — Template python package
• autoqtl — Automated Quantitative Trait Locus Analysis Tool
• autorad — Radiomics-related modules for extraction and experimenting
• autotonne — Auto machine learning, deep learning library in Python.
• autoviml — Automatically Build Variant Interpretable ML models fast - now with CatBoost!
• azureml-designer-classic-modules — A variety of modules for data processing, model training, inferencing and evaluation.
• bambu-qsar — bambu (bioassays model builder) is CLI tool to build QSAR models based on PubChem BioAssays datasets
• behavysis_classifier — Behaviour classifier for the behavysis suite
• behavysis_pipeline — An animal behaviour processing and analysis package
• bfscan — bfscan is designed to detect foodborne pathogens using bloom filter and machine learning
• biobb-ml — Biobb_ml is the Biobb module collection to perform machine learning predictions.
• biofit — BioFit: Bioinformatics Machine Learning Framework
• bipartite-learn — Machine learning estimators for bipartite data.
• blobcity — Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.
• bugbug — ML tools for Mozilla projects
• buildml — Let's make building machine learning models the complex way, easy.
• bytetrade-recommend-model-sdk — no summary
• cafe — Classifying Antibodies for Expression
• capfinder — A package for decoding RNA cap types
• carom-sblab — An awesome package that does something
• cellphe — CellPhe: Toolkit for cell phenotyping from time-lapse videos
• chady — A package for ML libraries
• churn_prediction — Pacote para previsão de churn
• churn-prediction-dani — no summary
• civetqc — CivetQC is a command-line tool for automated quality control of CIVET outputs
• classification-analysis — This library is to monitor your model during the training process and track the metrics to find the best model
• climaticai — climaticai is a library that builds, optimizes, and evaluates machine learning pipelines
• clust-learn — A Python package for explainable cluster analysis
• cotkg-ids — A network intrusion detection system using Chain of Thought, knowledge graphs and GraphSAGE
• cratonml — Python application for W-Seis
• CS-MINI-2024Z-AutoML — An AutoML project with various machine learning capabilities.
• cumulative-cost-boosting — Parameter free cost-sensitive adaptive boosting
• cytopy — Data centric algorithm agnostic cytometry analysis framework
• datafit — This is a Python package that automates the data preprocessing
• datascienv — Data Science package for setup data science environment in single line
• datawaza — Datawaza is a collection of tools for data exploration, visualization, data cleaning, pipeline creation, model iteration, and evaluation.
• decision-rules — Package implementing decision rules. Includes tools for calculations of various measures and indicators, as well as algorithms for filtering rulesets.
• deep-kolibri — Deep Learning and more NLP toolkit
• DeFi-Assessment — A prototype project to perfrom risk assessment for DeFi lending platforms.
• delta-nlp — DELTA is a deep learning based natural language and speech processing platform.
• DigCNV — DigCNV: Discriminating True CNVs from artifacts from genotyping without further visualisation
• diversampling — An unsupervised methodology to implement a diversified under-sampling process to deal with the extremely imbalanced binary classification problem
• Djaizz — Artificial Intelligence (AI) in Django Applications
• dl-cliche — dl-cliche: Packaging cliche utilities
• DMWT — no summary
• dnneasyensemble — a package for easyensemble whose basemodel is dnn
• dorkylever-lama-phenotype-detection — Phenotype detection pipeline for finding abnormalities in mouse embryos
• dpks — Data processing package for the analysis of omics data
• dsbundle — Streamline your data science setup with dsbundle in one effortless install.
• dummyML — Automated data analysis pipelines on tabular data for data analyst
• e2eml — An end-to-end solution for automl
• easypreprocessing — An easy to use pre-processing utility for machine learning.
• edgaro — Explainable imbalanceD learninG compARatOr
• ehrapy — Electronic Health Record Analysis with Python.
• eis_toolkit — EIS Toolkit is a comprehensive collection of tools suitable for mineral prospectivity mapping. This toolkit has been developed as part of the Exploration Information System project which has been funded by European Union.
• empulse — Value-driven and cost-sensitive tools for scikit-learn
• end2endML — Automated data analysis pipelines on tabular data for data analyst
• enigmx — enigmx package
• ensemble-integration — Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles
• eslearn — This project is designed for machine learning in resting-state fMRI field
• EtaML — An automated machine learning platform with a focus on explainability
• evalml — an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions
• evoml.framework — An Open-Source Classification-Based Nature-Inspired Optimization Clustering Framework in Python
• EvoPreprocess — Data Preprocessing with Evolutionary and Nature Inspired Algorithms.
• fact-checker — A fact checker with justification
• falcon-ml — AutoML library for fast experementations.
• FeatureFlex — An AutoML project with various machine learning capabilities.
• fold-core — A Time Series Cross-Validation library that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour.
• forgetnet — A package for applying differential privacy to model training using gradient shuffling and membership inference attack detection.
• funmap — generate gene co-function networks using omics data
• Galaxy-ML — Galaxy Machine Learning Library
• gargaml — A personal ML lib
• Gedi — Generating Event Data with Intentional Features for Benchmarking Process Mining
• GeeseTools — Modular and extensible data preprocessing library
• genmrmr — Algorithm that uses genetic and MRMR for feature selection
• gentab — A synthetic tabular data generation library.
• gitlabds — Gitlab Data Science and Modeling Tools