Alternatives and similar repositories for bk_clustering:

Users that are interested in bk_clustering are comparing it to the libraries listed below

• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆146Updated 2 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆89Updated last year
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆64Updated 11 months ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆51Updated 4 months ago
• smazzanti / are_you_still_using_elbow_method
  ☆149Updated last year
• tunguz / UCI_Census_Income
  ☆17Updated 2 years ago
• tunguz / TabularBenchmarks
  ☆197Updated last week
• khuyentran1401 / pretty-print-confusion-matrix
  Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
  ☆19Updated 3 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆58Updated 2 years ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆59Updated this week
• kaislar / ds_template
  ☆38Updated 2 years ago
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆106Updated 2 years ago
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆95Updated last year
• ivanlen / pipreqsnb
  pipreqs with jupyter notebook support
  ☆66Updated last year
• Graphlet-AI / graphml-class
  Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
  ☆71Updated 3 weeks ago
• iusztinpaul / machine-learning-blog
  Implementation of various Machine learning and MLOps applications/tutorials used within my Medium blog.
  ☆9Updated last year
• inovex / recsys-training
  Hands-on Training for Recommender Systems
  ☆11Updated 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 2 years ago
• lucazav / binclass-tools
  The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification …
  ☆75Updated last year
• MAIF / eurybia
  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
  ☆205Updated 2 months ago
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆42Updated last year
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆99Updated last year
• shanakaChathu / churn_model
  ☆22Updated last year
• Shivanandroy / CategoricalEmbedder
  Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks
  ☆25Updated 5 years ago
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆33Updated last week
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆136Updated 4 months ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated 11 months ago
• charlesfrye / panndas
  Neural networks in pandas
  ☆51Updated 2 years ago
• NannyML / examples
  A set of examples illustrating some possible use cases for NannyML
  ☆19Updated last year