Alternatives and similar repositories for full-stack-on-prem-cv-mlops

Users that are interested in full-stack-on-prem-cv-mlops are comparing it to the libraries listed below

• npogeant / flight-delay
  A Machine Learning Pipeline built with MLflow, Prefect, BentoML, Streamlit and Evidently.
  ☆27Updated 3 years ago
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆111Updated 2 years ago
• evidentlyai / community-examples
  Examples of using Evidently to evaluate, test and monitor ML models.
  ☆39Updated last month
• mymlops / airflow-mlflow
  MLOps stack example using Airflow, MLflow and other popular tools.
  ☆44Updated 2 years ago
• dpleus / mlops
  A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit
  ☆89Updated 2 years ago
• kennethleungty / End-to-End-AutoML-Insurance
  An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
  ☆78Updated 3 years ago
• razorcd / mlops-project
  Machine Learning Ops Project
  ☆30Updated last year
• RCdeWit / dtc-workshop
  Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
  ☆35Updated last year
• AntonisCSt / Mlops_project_semicon
  A project from the ml_ops Zoomcamp (DataTalks) using Semiconductor data
  ☆22Updated 3 years ago
• Peco602 / maternal-health-risk
  Maternal Health Risk prediction MLOps pipeline
  ☆45Updated 2 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆91Updated 3 years ago
• PacktPublishing / Machine-Learning-Model-Serving-Patterns-and-Best-Practices
  Machine Learning Model Serving Patterns and Best Practices
  ☆35Updated last week
• alexeygrigorev / fitness-assistant
  This is your friendly fitness assistant, which is a RAG applications built as a part of LLM Zoomcamp
  ☆75Updated last year
• khuyentran1401 / detect-data-drift-pipeline
  A pipeline to detect data drift and retrain the model when there is drift
  ☆24Updated 2 years ago
• iterative / magnetic-tiles-defect
  Demo Computer Vision Project
  ☆63Updated 2 years ago
• GokuMohandas / feature-store
  Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
  ☆57Updated 3 years ago
• sayakpaul / ml-deployment-k8s-fastapi
  This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.
  ☆220Updated 3 years ago
• JINO-ROHIT / fastapi_with_celery_redis
  serving a torch model using Celery, Redis and RabbitMQ to serve users asynchronously
  ☆22Updated last year
• GokuMohandas / data-engineering
  Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
  ☆226Updated 3 years ago
• ashishpatel26 / MLOps-Engineering-in-Action
  Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson
  ☆20Updated last year
• khuyentran1401 / employee-future-prediction
  Demo for Using GitHub Actions in MLOps
  ☆40Updated 3 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 8 months ago
• jeremyarancio / reservation_cancellation_prediction
  Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow
  ☆63Updated last year
• khuyentran1401 / prefect-dvc
  ☆23Updated 2 years ago
• jomariya23156 / sales-forecast-mlops-at-scale
  Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retrainin…
  ☆70Updated last year
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆162Updated last week
• ahmedbesbes / anonymization-api
  How to build and deploy an anonymization API with FastAPI and SpaCy
  ☆71Updated 4 years ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 2 years ago
• zenml-io / zenbytes
  A simple guide to MLOps through ZenML and its various integrations.
  ☆187Updated last year
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆134Updated 2 years ago