Alternatives and similar repositories for breathing-k-means

Users that are interested in breathing-k-means are comparing it to the libraries listed below

• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆55Updated 3 weeks ago
• TutteInstitute / vectorizers
  Vectorizers for a range of different data types
  ☆103Updated 3 months ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated last year
• erdogant / clusteval
  Clusteval provides methods for unsupervised cluster validation
  ☆65Updated this week
• nla-group / classix
  Fast and explainable clustering in Python
  ☆122Updated last month
• FINRAOS / model-validation-toolkit
  Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…
  ☆29Updated 2 years ago
• sdpython / mlinsights
  Extends scikit-learn with new models, transformers, metrics, plotting.
  ☆73Updated last week
• ben-arnao / StoRM
  A neural network hyper parameter tuner
  ☆30Updated 2 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆107Updated 2 years ago
• scikit-learn-contrib / hiclass
  A python library for hierarchical classification compatible with scikit-learn
  ☆136Updated 10 months ago
• TutteInstitute / fast_hdbscan
  A fast multi-core implementation of HDBSCAN for low dimensional Euclidean spaces
  ☆128Updated 2 months ago
• amazon-science / creating-and-correcting-novel-ml-model-errors
  ☆30Updated 4 years ago
• cmudig / emblaze
  Interactive Jupyter notebook widget for visually comparing embedding spaces.
  ☆117Updated 8 months ago
• kno10 / python-kmedoids
  Fast K-Medoids clustering in Python with FasterPAM
  ☆88Updated 2 months ago
• VIDA-NYU / PipelineVis
  Pipeline Profiler is a tool for visualizing machine learning pipelines generated by AutoML tools.
  ☆86Updated 2 years ago
• oracle / macest
  Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores
  ☆100Updated 4 months ago
• awslabs / amazon-denseclus
  Clustering for mixed-type data
  ☆101Updated last year
• sergeyf / SmallDataBenchmarks
  Small Dataset Benchmarks on the Dataset of Datasets UCI++
  ☆93Updated 3 years ago
• 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
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆58Updated 2 years ago
• wilsonjr / humap
  Hierarchical Uniform Manifold Approximation and Projection
  ☆239Updated 11 months ago
• DBrughmans / NICE
  ☆23Updated 2 years ago
• facebookarchive / fronni
  machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast
  ☆16Updated 4 years ago
• mthorrell / gbnet
  Gradient Boosting Modules for PyTorch
  ☆78Updated 3 weeks ago
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆72Updated 3 years ago
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆42Updated 2 years ago
• fritshermans / pyminhash
  MinHash implementation in Python
  ☆12Updated last year
• AnotherSamWilson / fastshap
  Batch shap calculations.
  ☆31Updated 3 years ago
• koaning / scikit-churn
  Exploring some issues related to churn
  ☆17Updated last year
• avkl / twinning
  Data Twinning
  ☆25Updated 3 years ago