Alternatives and similar repositories for awesome-auto-ml:

Users that are interested in awesome-auto-ml 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.
  ☆64Updated 11 months ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆25Updated 2 years ago
• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 3 years ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 5 months ago
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated 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 …
  ☆106Updated 2 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆51Updated 4 months ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• ahmed-mohamed-sn / ATgfe
  Automated Transparent Genetic Feature Engineering
  ☆22Updated 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…
  ☆120Updated 8 months ago
• smazzanti / tds_you_dont_need_statistics_to_run_experiments
  ☆12Updated 6 months ago
• tonyleidong / OptimalFlow
  OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…
  ☆27Updated 11 months ago
• feature-engine / feature-engine-examples
  ☆33Updated 8 months ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆50Updated last year
• gianlucamalato / collinearity
  A Python libreary for removing collinearity
  ☆28Updated 3 years ago
• polakowo / mlprojects
  Some of my ML projects and Kaggle competitions
  ☆19Updated 2 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆89Updated last year
• Minyus / kedro-starters-sklearn
  Kedro starter templates using Scikit-learn and optionally MLflow
  ☆9Updated last year
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆61Updated 3 months ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated last week
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆40Updated 4 months ago
• mavillan / tsforest
  Time series forecasting with tree ensembles
  ☆13Updated 3 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆60Updated last year
• h2oai / wave-apps
  Sample AI Apps built with H2O Wave.
  ☆151Updated 2 months ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆104Updated last year
• meffmadd / pandas-visual-analysis
  A package for interactive visual analysis in jupyter notebooks
  ☆22Updated 2 years ago