Alternatives and similar repositories for wine:

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

• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆86Updated 2 years ago
• thejat / mlops-code-examples
  ☆23Updated last week
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆65Updated 2 years ago
• MathiasGruber / ProofOfConcept_MLOps
  Example MLOps using BentoML & mlFlow
  ☆37Updated 3 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆42Updated 3 years ago
• dkhundley / ds-quick-tips
  Data Science Quick Tips Repository!
  ☆47Updated last year
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated last month
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆107Updated 5 years ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆179Updated 7 months ago
• axsaucedo / seldon_experiments
  ☆16Updated 4 years ago
• sayakpaul / Dual-Deployments-on-Vertex-AI
  Project demonstrating dual model deployment scenarios using Vertex AI (GCP).
  ☆35Updated 3 years ago
• xLaszlo / CQ4DS-notebook-sklearn-refactoring-exercise
  ☆30Updated 2 years ago
• cosmic-cortex / fastAPI-ML-quickstart
  ☆67Updated 5 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• alexeygrigorev / aws-lambda-docker
  Using AWS Lambda with Docker to deploy a deep learning model
  ☆23Updated 3 years ago
• GokuMohandas / feature-store
  Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
  ☆55Updated 2 years ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆58Updated 6 years ago
• SaschaDittmann / MLOps-Lab
  This repository contains sample code, which is used for a MLOps Workshop
  ☆26Updated last year
• tgoldenberg / kedro-mlflow-example
  ☆43Updated 2 years ago
• npatta01 / pytorch-serving-workshop
  Slides and notebook for the workshop on serving bert models in production
  ☆25Updated 2 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 3 years ago
• datarobot-community / examples-for-data-scientists
  ☆61Updated 8 months ago
• thejat / mlops-notebooks
  ☆64Updated this week
• srivatsan88 / ContinousModelDeploy
  This is code depository for my upcoming session. Will update details post the session
  ☆40Updated 2 years ago
• ryanmark1867 / deep_learning_for_structured_data
  Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…
  ☆72Updated 3 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• machine-learning-apps / actions-ml-cicd
  A Collection of GitHub Actions That Facilitate MLOps
  ☆207Updated 2 years ago
• RCdeWit / dtc-workshop
  Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
  ☆34Updated last year
• 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 last year