Alternatives and similar repositories for aml

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

• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated 9 months ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 11 months ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆247Updated 3 years ago
• MaartenGr / UnitTesting
  Guide for applying Unit Testing in data-driven projects
  ☆19Updated 5 years ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆59Updated 6 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆164Updated 5 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• mihail911 / fake-news
  Building a fake news detector from initial ideation to model deployment
  ☆155Updated last week
• rasbt / stat451-machine-learning-fs21
  ☆152Updated 3 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• ritchie46 / vanilla-machine-learning
  vanilla machine learning
  ☆111Updated 2 years ago
• abhishekkrthakur / csv_test
  ☆26Updated 4 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆142Updated 5 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆269Updated 3 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated last year
• vopani / fortyone
  Machine Learning begins with Human Learning
  ☆108Updated 3 years ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆62Updated 2 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• bgweber / DS_Production
  ☆155Updated 4 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆128Updated 4 years ago
• khuyentran1401 / Machine-learning-pipeline
  Example machine learning pipeline with MLflow and Hydra
  ☆91Updated 2 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated last year
• parulnith / What-I-learnt-by-interviewing-numerous-Kaggle-Grandmasters
  ☆38Updated 3 years ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆182Updated last year
• vinyluis / Articles
  References to the Medium articles
  ☆86Updated 2 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 2 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆42Updated 4 years ago