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.
☆46Updated 11 months ago
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 Computer Vision Project☆62Updated 2 years ago
- A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit☆87Updated 2 years ago
- Demo for CI/CD in a machine learning project☆107Updated 2 years ago
- Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retrainin…☆68Updated last year
- Practical Deep Learning at Scale with MLFlow, published by Packt☆161Updated last year
- A project from the ml_ops Zoomcamp (DataTalks) using Semiconductor data☆22Updated 2 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆87Updated 2 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆35Updated last year
- An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell☆77Updated 3 years ago
- This is your friendly fitness assistant, which is a RAG applications built as a part of LLM Zoomcamp☆69Updated 10 months ago
- A Machine Learning Pipeline built with MLflow, Prefect, BentoML, Streamlit and Evidently.☆26Updated 2 years ago
- A simple guide to MLOps through ZenML and its various integrations.☆187Updated last year
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last year
- MLOps stack example using Airflow, MLflow and other popular tools.☆44Updated 2 years ago
- This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.☆216Updated 2 years ago
- Maternal Health Risk prediction MLOps pipeline☆44Updated 2 years ago
- Machine Learning Ops Project☆29Updated last year
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 6 months ago
- An end-to-end project on customer segmentation☆82Updated 2 years ago
- Project for real-time anomaly detection using Kafka and python☆57Updated 2 years ago
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆48Updated 3 years ago
- In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits☆107Updated 3 years ago
- serving a torch model using Celery, Redis and RabbitMQ to serve users asynchronously☆21Updated last year
- Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker☆103Updated 3 years ago
- Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson☆20Updated last year
- NLP/LLM Mlops Pipeline to dev/train/evaluation, scalable deploy and monitoring systems.☆22Updated last year
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆134Updated 2 years ago
- This repository about how to deploy machine learning model end serving with FastAPI and using MLFlow-MINIO☆19Updated 2 years ago
- ☆23Updated 2 years ago
- How to build and deploy an anonymization API with FastAPI and SpaCy☆71Updated 3 years ago