NicoloAlbanese / airflow-ml-pipeline-mvp

Related projects ⓘ

Alternatives and complementary repositories for airflow-ml-pipeline-mvp

• srivatsan88 / google_cloud_notebooks
  ☆13Updated 3 years ago
• charumakhijani / spark-ml-deployment
  ☆11Updated 3 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆42Updated 3 years ago
• srivatsan88 / ContinousModelDeploy
  This is code depository for my upcoming session. Will update details post the session
  ☆40Updated last year
• rahul765 / Machine-Learning-Pipelines
  From data gathering to model deployment. Complete ML pipeline using Docker, Airflow and Python.
  ☆13Updated last year
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆18Updated last year
• RCdeWit / dtc-workshop
  Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
  ☆34Updated 11 months ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆39Updated last year
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 2 years ago
• MathiasGruber / ProofOfConcept_MLOps
  Example MLOps using BentoML & mlFlow
  ☆37Updated 3 years ago
• pycaret / pycaret-deployment-aws
  Deploy Machine Learning Pipeline on AWS Fargate
  ☆13Updated last year
• WLDCH / covid19-deaths-prediction
  Predict the number of deaths due to covid19 in the next two weeks
  ☆11Updated 2 years ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆44Updated 5 years ago
• vb100 / deploy-ml-mlflow-aws
  Deploying Models to Production with Mlflow and AWS Sagemaker
  ☆23Updated 3 years ago
• haythemtellili / amazon-sagemaker-cicd
  CI/CD pipeline with Amazon SageMaker and Github actions
  ☆24Updated last year
• FernandoLpz / Kubeflow_Pipelines
  This repository aims to develop a step-by-step tutorial on how to build a Kubeflow Pipeline from scratch in your local machine.
  ☆42Updated 9 months ago
• singhishita / Interactive-Dashboards-With-Streamlit
  Create Interactive Dashboards With Streamlit in Python
  ☆15Updated 4 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 3 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆30Updated 5 months ago
• opeyemibami / TDD-in-MLOps
  This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Gi…
  ☆14Updated 3 years ago
• susanli2016 / Natural-Language-Processing-with-Deep-Learning-in-Python-
  The repository for the course in Udemy
  ☆17Updated 5 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• liartem / mlops-zoomcamp
  ☆14Updated last year
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆48Updated 2 years ago
• BartoszSzablowski / Sell_Out_Sell_In_Forecasting
  Sell Out Sell In Forecasting project implemented at Nestlé
  ☆23Updated 2 years ago
• ashishpatel26 / Kubeflow-installation-on-windows-10
  Kubeflow installation on windows 10/11
  ☆16Updated last year
• khuyentran1401 / employee-future-prediction
  Demo for Using GitHub Actions in MLOps
  ☆40Updated 2 years ago
• srivatsan88 / keras-ocr
  A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
  ☆11Updated 4 years ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆82Updated last year
• elleobrien / automatic_testing
  ☆21Updated last year