sayakpaul / ml-deployment-k8s-fastapiLinks
This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.
☆218Updated 3 years ago
Alternatives and similar repositories for ml-deployment-k8s-fastapi
Users that are interested in ml-deployment-k8s-fastapi are comparing it to the libraries listed below
Sorting:
- Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker☆105Updated 3 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated 10 months ago
- Demo Computer Vision Project☆63Updated 2 years ago
- BentoML Example Projects 🎨☆138Updated 7 months ago
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆233Updated last year
- A simple guide to MLOps through ZenML and its various integrations.☆187Updated last year
- ☆48Updated last year
- Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs☆82Updated last year
- 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
- MLOps for Vision Models (TensorFlow) from 🤗 Transformers with TensorFlow Extended (TFX)☆114Updated 2 years ago
- Basic and advanced MLflow examples for many ML flavors☆231Updated last year
- Machine Learning Pipeline for Semantic Segmentation with TensorFlow Extended (TFX) and various GCP products☆95Updated 2 years ago
- Get your MLOps (Level 1) platform started and going fast.☆122Updated 2 years ago
- A repository that showcases how you can use ZenML with Git☆69Updated 3 weeks ago
- "1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data…☆46Updated last year
- Demo for Using GitHub Actions in MLOps☆40Updated 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
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆263Updated 2 years ago
- 🎲 A curated list of MLOps projects, tools and resources☆186Updated last year
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆89Updated 2 years ago
- Demo for CI/CD in a machine learning project☆111Updated 2 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆88Updated 2 years ago
- Get started DVC project☆60Updated last year
- A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit☆87Updated 2 years ago
- This repository shows various ways of deploying a vision model (TensorFlow) from 🤗 Transformers.☆30Updated 3 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated last year
- Software Architecture for ML engineers☆411Updated 3 years ago
- Metaflow tutorials for ODSC West 2021☆64Updated 3 years ago
- A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.☆229Updated last month
- ☆31Updated 4 years ago