Alternatives and similar repositories for ml-workflow-automation

Users that are interested in ml-workflow-automation are comparing it to the libraries listed below

• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 3 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆65Updated 3 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago
• dkhundley / ds-quick-tips
  Data Science Quick Tips Repository!
  ☆48Updated last year
• AlexIoannides / notes-and-demos
  Study notes and demos.
  ☆12Updated last year
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆59Updated 7 years ago
• AileenNielsen / OReillyHealthcareData
  ☆39Updated 8 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 4 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• mohanakrishnavh / pyspark-tutorial
  ☆18Updated 2 months ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 4 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆43Updated 4 years ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆45Updated 6 years ago
• topspinj / pydata-workshop
  "Building a Recommender System from Scratch" Workshop Material for PyDataDC 2018
  ☆24Updated 7 years ago
• jcdaniel91 / data-science-python-dask
  Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications
  ☆53Updated 5 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated last year
• ryanmark1867 / deep_learning_for_structured_data
  Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…
  ☆73Updated 4 years ago
• susanli2016 / Data-Analysis-with-Python
  Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
  ☆31Updated 6 years ago
• tirthajyoti / Synthetic-data-gen
  Various methods for generating synthetic data for data science and ML
  ☆81Updated 4 years ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆24Updated 6 years ago
• trangel / stats-with-python
  Learning statistics with Python
  ☆53Updated 5 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 3 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 3 years ago
• abaranovskis-redsamurai / automation-repo
  Machine learning and process automation
  ☆137Updated 3 years ago
• andfanilo / pyspark-tutorial
  Jupyter notebooks for pyspark tutorials given at University
  ☆110Updated last week