cmawer / reproducible-modelLinks
☆86Updated 6 years ago
Alternatives and similar repositories for reproducible-model
Users that are interested in reproducible-model are comparing it to the libraries listed below
Sorting:
- ML project template facilitating both research and production phases.☆109Updated 5 years ago
- ☆44Updated 2 years ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆209Updated 3 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆147Updated last year
- ☆102Updated last year
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated 11 months ago
- This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Be…☆39Updated last year
- Capturing model drift and handling its response - Example webinar☆108Updated 5 years ago
- Tutorial given at PyData LA 2018☆97Updated 10 months ago
- ☆11Updated 9 months ago
- The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…☆171Updated 2 years ago
- A library that implements fairness-aware machine learning algorithms☆125Updated 4 years ago
- 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
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three …☆240Updated 4 years ago
- Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.☆22Updated 5 years ago
- ☆47Updated 5 years ago
- Data Analysis Baseline Library☆132Updated 8 months ago
- Dockerized ML Cookiecutter☆75Updated 2 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated 10 months ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆263Updated 2 years ago
- Repo that generates https://github.com/full-stack-deep-learning/fsdl-text-recognizer-project☆58Updated 2 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆69Updated last month
- An easy to use waterfall chart function for Python☆162Updated 4 years ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 5 years ago
- ☆27Updated 2 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆136Updated last year
- A tiny framework to perform adversarial validation of your training and test data.☆21Updated 5 months ago
- Template repository for data science lifecycle project☆194Updated 4 years ago