Alternatives and similar repositories for nestedcvtraining

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

• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 9 months 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
• jaswinder9051998 / zoofs
  zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…
  ☆250Updated 4 months ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆108Updated 3 years ago
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆72Updated 2 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• smazzanti / valicast
  Validation for forecasts
  ☆17Updated 2 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 4 years ago
• ag-ds-bubble / tseuler
  A library for Time-Series exploration, analysis & modelling.
  ☆17Updated 4 years ago
• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆143Updated 2 years ago
• BCG-X-Official / sklearndf
  DataFrame support for scikit-learn.
  ☆63Updated last month
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆55Updated last year
• AutoViML / deep_autoviml
  Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…
  ☆121Updated last year
• online-ml / chantilly
  🍦 Deployment tool for online machine learning models
  ☆98Updated 3 years ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆72Updated last year
• tvdboom / ATOM
  Automated Tool for Optimized Modelling
  ☆162Updated last year
• sdv-dev / RDT
  A library of Reversible Data Transforms
  ☆128Updated this week
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆167Updated last week
• sdv-dev / DeepEcho
  Synthetic Data Generation for mixed-type, multivariate time series.
  ☆118Updated 2 weeks ago
• manitadayon / tsBNgen
  ☆60Updated 2 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• atif-hassan / PyImpetus
  PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…
  ☆138Updated 8 months ago
• SylwiaOliwia2 / xgboost-AutoTune
  Wrap-up to automatically tune xgboost in Python.
  ☆80Updated 4 years ago
• eserie / wax-ml
  A Python library for machine-learning and feedback loops on streaming data
  ☆62Updated 2 years ago
• MAIF / eurybia
  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
  ☆214Updated last week
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆126Updated 2 years ago
• supsi-dacd-isaac / mbtr
  Multivariate Boosted TRee
  ☆63Updated 3 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆65Updated 8 months ago
• noklam / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆60Updated last year