Alternatives and similar repositories for concept-drift

Users that are interested in concept-drift are comparing it to the libraries listed below

• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆243Updated last month
• feedzai / fairgbm
  Train Gradient Boosting models that are both high-performance *and* Fair!
  ☆106Updated 2 weeks ago
• benedekrozemberczki / shapley
  The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
  ☆222Updated last week
• Baukebrenninkmeijer / table-evaluator
  Evaluate real and synthetic datasets against each other
  ☆92Updated 5 months ago
• steverab / failing-loudly
  Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…
  ☆107Updated last year
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆77Updated 3 years ago
• sdv-dev / RDT
  A library of Reversible Data Transforms
  ☆131Updated this week
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆128Updated 2 years ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆196Updated 2 years ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 3 years ago
• sdv-dev / SDMetrics
  Metrics to evaluate quality and efficacy of synthetic datasets.
  ☆255Updated this week
• sdv-dev / SDGym
  Benchmarking synthetic data generation methods.
  ☆289Updated this week
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆69Updated last year
• online-ml / beaver
  🦫 MLOps for (online) machine learning
  ☆91Updated last year
• MAIF / eurybia
  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
  ☆215Updated 2 months ago
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆42Updated 2 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆68Updated last year
• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆143Updated 3 years ago
• NextBrain-ai / nbsynthetic
  nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets
  ☆69Updated 2 years ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆66Updated 4 months ago
• ngoix / EMMV_benchmarks
  ☆50Updated 8 years ago
• google / madi
  Multivariate Anomaly Detection with Interpretability (MADI) published in ICML 2020
  ☆78Updated last year
• navefr / ExKMC
  Expanding Explainable K-Means Clustering
  ☆96Updated 2 years ago
• worldbank / REaLTabFormer
  A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
  ☆242Updated last week
• AstraZeneca / rexmex
  A general purpose recommender metrics library for fair evaluation.
  ☆278Updated 2 years ago
• alipsgh / tornado
  The Tornado framework, designed and implemented for adaptive online learning and data stream mining in Python.
  ☆129Updated 2 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 3 years ago
• autonlab / weasel
  Weakly Supervised End-to-End Learning (NeurIPS 2021)
  ☆156Updated 2 years ago
• ronniemi / explainAnomaliesUsingSHAP
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆44Updated 4 years ago