Alternatives and similar repositories for AutoBazaar

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

• laic-ufmg / Recipe
  Automated machine learning (AutoML) with grammar-based genetic programming
  ☆54Updated last year
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆82Updated 4 years ago
• MLBazaar / MLBlocks
  A library for composing end-to-end tunable machine learning pipelines.
  ☆122Updated last year
• alteryx / autonormalize
  python library for automated dataset normalization
  ☆117Updated 2 years ago
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆164Updated 7 months ago
• easeml / automl
  A Scalable Auto-ML System
  ☆55Updated 3 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 3 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years 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.
  ☆104Updated last week
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆72Updated 4 years ago
• Innixma / autogluon-benchmarking
  Benchmarking Utilities for AutoGluon
  ☆21Updated 4 years ago
• logicalclocks / maggy
  Distribution transparent Machine Learning experiments on Apache Spark
  ☆91Updated last year
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 3 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆37Updated 4 years ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 4 years ago
• trane-dev / Trane
  An open source python library for automated prediction engineering
  ☆45Updated 7 months ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆66Updated 5 months ago
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• flytxtds / AutoGBT
  AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…
  ☆114Updated 6 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆107Updated 2 years ago
• tonyleidong / OptimalFlow
  OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…
  ☆27Updated 2 years ago
• HDI-Project / FeatureHub
  A collaborative feature engineering system built on JupyterHub
  ☆94Updated 6 years ago
• ostamand / tensorflow-tabnet
  Improved TabNet for TensorFlow
  ☆53Updated 3 years ago
• automl / HPOlib1.5
  ☆69Updated 5 years ago
• EvgeniDubov / hellinger-distance-criterion
  Random Forest model using Hellinger Distance as split criterion
  ☆33Updated 2 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 5 years ago
• Robin888 / hccEncoding-project
  ☆11Updated 5 years ago
• giladkatz / ExploreKit
  ☆74Updated 7 years ago