Alternatives and similar repositories for cml_base_case

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

• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 4 years ago
• iterative / cml_cloud_case
  ☆22Updated 3 years ago
• tsterbak / pydataberlin-2019
  This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Be…
  ☆39Updated 2 years ago
• chiphuyen / metaflow-transformers-tutorials
  Metaflow tutorials for ODSC West 2021
  ☆64Updated 4 years ago
• manifoldai / orbyter-cookiecutter
  Dockerized ML Cookiecutter
  ☆75Updated 3 years ago
• eugeneyan / testing-ml
  🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
  ☆265Updated 3 years ago
• the-full-stack / conda-piptools
  Quick demo of setting up a deep learning Python environment using conda and pip-tools.
  ☆39Updated 5 years ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆210Updated 4 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆151Updated last year
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 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 2 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆107Updated 2 years ago
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆76Updated 3 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 4 years ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆184Updated last year
• jeremyjordan / model_test
  A proof of concept library for generating and running machine learning model tests
  ☆13Updated 5 years ago
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆86Updated 2 years ago
• arimbr / valohai-fasttext-example
  Production Machine Learning Pipeline for Text Classification with fastText
  ☆33Updated 4 years ago
• MAIF / eurybia
  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
  ☆215Updated 2 months ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 4 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆99Updated last year
• koaning / simsity
  Super Simple Similarities Service
  ☆155Updated 9 months ago
• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆142Updated 3 years ago
• charlesfrye / panndas
  Neural networks in pandas
  ☆51Updated 3 years ago
• shreyashankar / debugging-ml-talk
  Code accompanying the "Debugging machine learning in production" talk
  ☆30Updated 3 years ago
• cosmic-cortex / fastAPI-ML-quickstart
  ☆72Updated 6 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆116Updated 2 years ago