Alternatives and similar repositories for automl-gs-examples

Users that are interested in automl-gs-examples are comparing it to the libraries listed below

• augerai / a2ml
  Common API for all "second gen" AutoML APIs: Auger.AI, Google Cloud AutoML and Azure AutoML
  ☆41Updated last year
• hohsiangwu / kdd-2018-hands-on-tutorials
  KDD Hands-On Tutorial (2018)
  ☆29Updated 3 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 3 years ago
• trane-dev / Trane
  An open source python library for automated prediction engineering
  ☆45Updated 6 months ago
• koursaros-ai / microservices
  Neural Elastic Inference and Search
  ☆19Updated 6 years ago
• mljar / automl_comparison
  Comparison of automatic machine learning libraries
  ☆29Updated 8 years ago
• ml-tooling / lazycluster
  🎛 Distributed machine learning made simple.
  ☆49Updated 2 years ago
• radekosmulski / fastai-rails
  ☆25Updated 2 years ago
• kootenpv / xtoy
  Automated Machine Learning: go from 'X' to 'y' without effort.
  ☆49Updated 6 years ago
• google / nitroml
  NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Au…
  ☆43Updated 4 years ago
• comet-ml / comet-for-mlflow
  Comet-For-MLFlow Extension
  ☆66Updated 2 weeks ago
• USCDataScience / autoextractor
  A toolkit for clustering web pages based on various similarity measures.
  ☆34Updated 4 years ago
• tapanalyticstoolkit / spark-tk
  Python and Scala APIs for enhanced Spark analytics
  ☆12Updated 8 years ago
• snorkel-team / snorkel-zoo
  A collection of utilities for writing labeling functions, transformation functions, and slicing functions.
  ☆22Updated 5 years ago
• omegaml / omegaml
  MLOps simplified. One-stop AI delivery platform, all the features you need.
  ☆106Updated this week
• InsightDataScience / Sherlock
  ☆14Updated 3 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆72Updated 4 years ago
• richardxiong / dnnQuery
  Deep neural parser for database query
  ☆18Updated 3 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 8 years ago
• LightTag / ALMa
  ALMa (Active Learning Manager) Keeps track of labeled and unlabeled data for active learning
  ☆42Updated 5 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 4 years ago
• CarsonScott / Online-Category-Learning
  ML algorithm for real-time classification
  ☆72Updated 8 years ago
• hi-primus / bumblebee
  🚕 A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)
  ☆141Updated 2 years ago
• danielfrg / polyaxon-argo-seldon-example
  Model management example using Polyaxon, Argo and Seldon
  ☆23Updated 7 years ago
• polyaxon / polyaxon-examples
  Code for tutorials and examples
  ☆67Updated 2 years ago
• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 3 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 6 years ago
• minimaxir / ml-data-generator
  Python script to generate fake datasets optimized for testing machine learning/deep learning workflows
  ☆50Updated 6 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• minimaxir / legaladvice-gpt2
  Dump of generated texts from GPT-2 trained on /r/legaladvice subreddit titles
  ☆23Updated 6 years ago