Alternatives and similar repositories for teaching-ml-in-production:

Users that are interested in teaching-ml-in-production are comparing it to the libraries listed below

• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• bgweber / DS_Production
  ☆154Updated 4 years ago
• hypergol / hypergol
  Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…
  ☆53Updated last year
• 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
• tgoldenberg / kedro-mlflow-example
  ☆43Updated 2 years ago
• nocomplexity / FreeAndOpenMachineLearning
  This project is created to promote and advocate the use of FOSS machine learning.
  ☆44Updated last week
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆15Updated 2 years ago
• alexcoca / DistributedKernelShap
  ☆12Updated 4 years ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆81Updated 3 years ago
• priceloop / conventions
  ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc
  ☆101Updated 2 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆76Updated 2 years ago
• arimbr / valohai-fasttext-example
  Production Machine Learning Pipeline for Text Classification with fastText
  ☆32Updated 3 years ago
• online-ml / chantilly
  🍦 Deployment tool for online machine learning models
  ☆97Updated 2 years ago
• boxkite-ml / boxkite
  Concept drift monitoring for HA model servers.
  ☆101Updated last year
• weehyong / MLScore
  Know your ML Score based on Sculley's paper
  ☆34Updated 5 years ago
• iterative / cml_base_case
  ☆20Updated 8 months ago
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆75Updated last year
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆164Updated last week
• manifoldai / orbyter-cookiecutter
  Dockerized ML Cookiecutter
  ☆71Updated 2 years ago
• deliveryhero / pyconde2019-airflow-ml-workshop
  PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.
  ☆46Updated last year
• veekaybee / til
  Today I Learned Some Computer Stuff
  ☆39Updated 6 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 years ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆110Updated 2 years ago
• eugeneyan / poc-docker-template
  Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.
  ☆22Updated 8 months ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated 3 months ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆104Updated 2 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• darenasc / auto-eda
  Automated Exploratory Data Analysis. Simplifying Data Exploration
  ☆34Updated 4 years ago