Alternatives and similar repositories for wine

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

• sayakpaul / Dual-Deployments-on-Vertex-AI
  Project demonstrating dual model deployment scenarios using Vertex AI (GCP).
  ☆34Updated 3 years ago
• khuyentran1401 / employee-future-prediction
  Demo for Using GitHub Actions in MLOps
  ☆40Updated 2 years ago
• RCdeWit / dtc-workshop
  Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
  ☆35Updated last year
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆42Updated 4 years ago
• dkhundley / ds-quick-tips
  Data Science Quick Tips Repository!
  ☆47Updated last year
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆81Updated 2 years ago
• dmatrix / mlflow-workshop-part-3
  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 four p…
  ☆35Updated 4 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆44Updated 5 years ago
• AutoViML / deep_autoviml
  Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…
  ☆121Updated last year
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• tgoldenberg / kedro-mlflow-example
  ☆44Updated 2 years ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 3 years ago
• abhishekkrthakur / csv_test
  ☆26Updated 4 years ago
• shanakaChathu / churn_model
  ☆22Updated 2 years ago
• alexeygrigorev / aws-lambda-docker
  Using AWS Lambda with Docker to deploy a deep learning model
  ☆23Updated 4 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆79Updated last year
• rahul765 / Machine-Learning-Pipelines
  From data gathering to model deployment. Complete ML pipeline using Docker, Airflow and Python.
  ☆13Updated last year
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 4 months ago
• the-full-stack / conda-piptools
  Quick demo of setting up a deep learning Python environment using conda and pip-tools.
  ☆38Updated 4 years ago
• iterative / awesome-iterative-projects
  A list of projects relying on Iterative.AI tools to achieve awesomeness
  ☆66Updated 10 months ago
• SaschaDittmann / MLOps-Lab
  This repository contains sample code, which is used for a MLOps Workshop
  ☆26Updated last year
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆108Updated 5 years ago
• khuyentran1401 / Machine-learning-pipeline
  Example machine learning pipeline with MLflow and Hydra
  ☆89Updated 2 years ago
• axsaucedo / seldon_experiments
  ☆16Updated 4 years ago
• DanilBaibak / ml-in-production
  The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.
  ☆52Updated 2 years ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆183Updated 10 months ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 2 years ago
• hamedonline / ml-workflow
  A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.
  ☆37Updated last year