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 4 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 3 years 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 4 years ago
• MonaNashaat / Asterisk
  Generating Training Data Made Easy
  ☆43Updated 4 years ago
• ben-arnao / StoRM
  A neural network hyper parameter tuner
  ☆30Updated last year
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆25Updated 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 …
  ☆107Updated 3 years ago
• ksalama / tfx-workshop
  Machine Learning with TensorFlow Extended (TFX) Pipelines
  ☆13Updated last year
• snehankekre / streamlit-tensorboard
  Streamlit component for TensorBoard, TensorFlow's visualization toolkit
  ☆40Updated 3 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• koaning / sentimany
  Just another sentiment wrapper.
  ☆17Updated 3 years ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated 10 months ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• h2oai / wave-ml
  Automatic Machine Learning (AutoML) for Wave Apps
  ☆32Updated last year
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆54Updated 8 months ago
• tunguz / UCI_Census_Income
  ☆17Updated 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
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated last year
• sgugger / hf_examples
  NLP Examples using the 🤗 libraries
  ☆41Updated 4 years ago
• rasbt / pytorch-fabric-demo
  ☆25Updated 2 years ago
• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 3 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 4 months ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• jacopotagliabue / dag-card-is-the-new-model-card
  Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.
  ☆30Updated 3 years ago
• gianlucamalato / collinearity
  A Python libreary for removing collinearity
  ☆29Updated 3 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• koaning / scikit-churn
  Exploring some issues related to churn
  ☆16Updated last year
• cdpierse / transformers-interpret-streamlit
  Streamlit demo app to demonstrate the features of transformers interpret with multiple models.
  ☆25Updated 3 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• 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 last year