Alternatives and similar repositories for AutoMunge

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

• firmai / datagene
  DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
  ☆204Updated 3 years ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆104Updated 2 years ago
• online-ml / chantilly
  🍦 Deployment tool for online machine learning models
  ☆97Updated 3 years ago
• MLBazaar / MLBlocks
  A library for composing end-to-end tunable machine learning pipelines.
  ☆120Updated 6 months ago
• alteryx / autonormalize
  python library for automated dataset normalization
  ☆116Updated 2 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated 9 months ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆107Updated 2 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• anodot / MLWatcher
  ☆96Updated 5 years ago
• tonyleidong / OptimalFlow
  OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…
  ☆27Updated last year
• linkedin / LiFT
  The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…
  ☆172Updated 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 3 years ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆97Updated 10 months ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆102Updated 3 years ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 4 years ago
• heidelbergcement / hcrystalball
  A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…
  ☆150Updated 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 2 years ago
• oracle / macest
  Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores
  ☆100Updated 2 months ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆71Updated 3 years ago
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆136Updated 6 years ago
• EthicalML / explainability-and-bias
  ☆102Updated 2 years ago
• janfreyberg / superintendent
  Practical active learning in python
  ☆190Updated 2 years ago
• anovos / anovos
  Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark
  ☆76Updated 2 years ago
• MLBazaar / AutoBazaar
  AutoBazaar: An AutoML System from the Machine Learning Bazaar
  ☆33Updated 4 years ago
• IBM / lale
  Library for Semi-Automated Data Science
  ☆339Updated 2 months ago
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆84Updated last year
• tcapelle / timeseries_fastai
  fastai V2 implementation of Timeseries classification papers.
  ☆241Updated 2 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• manifoldai / orbyter-docker
  Dockerfiles for images used as part of the Orbyter toolset
  ☆44Updated last year