jomariya23156 / full-stack-on-prem-cv-mlopsLinks
"1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data versioning to Model monitoring and drift detection.
☆51Updated last year
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
Sorting:
- Demo for CI/CD in a machine learning project☆115Updated 2 years ago
- Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retrainin…☆74Updated last year
- Machine Learning Ops Project☆30Updated last year
- A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit☆97Updated 3 years ago
- Demo Computer Vision Project☆65Updated 2 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆92Updated 3 years ago
- An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell☆81Updated 3 years ago
- A Machine Learning Pipeline built with MLflow, Prefect, BentoML, Streamlit and Evidently.☆28Updated 3 years ago
- Example project with a CNN to train a Pok émon type classifier, adapted for DTC workshop☆36Updated 2 years ago
- This is an overview of a MLOps architecture that includes both Airflow and MLflow running on separate Docker containers.☆22Updated 3 years ago
- A project from the ml_ops Zoomcamp (DataTalks) using Semiconductor data☆22Updated 3 years ago
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last week
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆49Updated 4 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆43Updated 4 years ago
- An end-to-end project on customer segmentation☆83Updated 3 years ago
- This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.☆221Updated 3 years ago
- How to build and deploy an anonymization API with FastAPI and SpaCy☆71Updated 4 years ago
- Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow☆64Updated last year
- A pipeline to detect data drift and retrain the model when there is drift☆24Updated 2 years ago
- Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson☆20Updated 2 years ago
- Maternal Health Risk prediction MLOps pipeline☆46Updated 3 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆163Updated last week
- MLOps for deploying a Credit Risk model☆34Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 11 months ago
- MLOps stack example using Airflow, MLflow and other popular tools.☆45Updated 3 years ago
- In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits☆107Updated 4 years ago
- This is code depository for my upcoming session. Will update details post the session☆40Updated 2 years ago
- Examples of using Evidently to evaluate, test and monitor ML models.☆44Updated last week
- Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker☆105Updated 4 years ago
- Demo for Using GitHub Actions in MLOps☆40Updated 3 years ago