Alternatives and similar repositories for reproducible-model

Users that are interested in reproducible-model are comparing it to the libraries listed below

• ml-tooling / ml-project-template
  ML project template facilitating both research and production phases.
  ☆109Updated 5 years ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆209Updated 3 years ago
• manifoldai / orbyter-cookiecutter
  Dockerized ML Cookiecutter
  ☆74Updated 2 years ago
• tgoldenberg / kedro-mlflow-example
  ☆44Updated 2 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated 10 months ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆147Updated last year
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆97Updated 8 months ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆135Updated last year
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆183Updated 10 months ago
• radekosmulski / nvt_op_examples
  ☆27Updated 2 years ago
• ttzt / catalog_of_requirements_for_ai_products
  The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and produc…
  ☆129Updated 4 years ago
• klemag / pydataLDN_2019-maintainable-code-for-data-science
  ☆47Updated 5 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆79Updated last year
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 9 months ago
• the-full-stack / fsdl-text-recognizer
  Repo that generates https://github.com/full-stack-deep-learning/fsdl-text-recognizer-project
  ☆58Updated 2 years ago
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆165Updated 3 months ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated 11 months ago
• dataiku-research / mealy
  Model Error Analysis for scikit-learn models.
  ☆29Updated 3 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• dmatrix / mlflow-workshop-part-1
  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 …
  ☆238Updated 4 years ago
• 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
• osin-vladimir / mlflow_tutorial
  Managing machine learning life-cycle with MLflow tutorial
  ☆23Updated 2 years ago
• linkedin / LiFT
  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
• YuriyGuts / odsc-target-leakage-workshop
  Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)
  ☆37Updated 5 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆66Updated 2 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• fastai / tf-fit
  Fit your tensorflow model using fastai and PyTorch
  ☆91Updated 5 years ago
• mchrestkha / machine_learning_examples
  ☆11Updated 8 months ago
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated last month
• MaartenGr / UnitTesting
  Guide for applying Unit Testing in data-driven projects
  ☆19Updated 5 years ago