Alternatives and similar repositories for fast_ml

Users that are interested in fast_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.
  ☆65Updated 10 months ago
• khuyentran1401 / pretty-print-confusion-matrix
  Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
  ☆19Updated 4 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 …
  ☆108Updated 3 years ago
• 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
• 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
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• tvdboom / ATOM
  Automated Tool for Optimized Modelling
  ☆162Updated last year
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• benedekrozemberczki / tigerlily
  TigerLily: Finding drug interactions in silico with the Graph.
  ☆100Updated 3 years ago
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆42Updated 2 years ago
• ben-arnao / StoRM
  A neural network hyper parameter tuner
  ☆30Updated last year
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated last year
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 3 years ago
• tunguz / UCI_Census_Income
  ☆17Updated 3 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆56Updated last year
• tusharsarkar3 / TLA
  A comprehensive tool for linguistic analysis of communities
  ☆49Updated 4 years ago
• decile-team / spear
  SPEAR: Programmatically label and build training data quickly.
  ☆109Updated last year
• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆143Updated 3 years ago
• amazon-science / creating-and-correcting-novel-ml-model-errors
  ☆30Updated 4 years ago
• IvanReznikov / bk_clustering
  Burj Khalifa Clustering method
  ☆53Updated 2 years ago
• ivanlen / pipreqsnb
  pipreqs with jupyter notebook support
  ☆71Updated 2 years ago
• charlesfrye / panndas
  Neural networks in pandas
  ☆51Updated 3 years ago
• Brett-Kennedy / CountsOutlierDetector
  Interpretable, intuitive outlier detector intended for categorical and numeric data.
  ☆12Updated 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…
  ☆140Updated 9 months ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 3 years ago
• DanilZherebtsov / verstack
  ☆102Updated 2 months ago
• opeyemibami / TDD-in-MLOps
  This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Gi…
  ☆15Updated 5 years ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 3 years ago
• MAIF / eurybia
  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
  ☆215Updated last month