Nneji123 / Serving-Machine-Learning-ModelsLinks
This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various frameworks and applications such as Docker, Flask, FastAPI, BentoML, Streamlit, MLflow and even code on how to deploy your machine learning model as an android app.
☆53Updated 2 years ago
Alternatives and similar repositories for Serving-Machine-Learning-Models
Users that are interested in Serving-Machine-Learning-Models are comparing it to the libraries listed below
Sorting:
- Serving TensorFlow models with TensorFlow Serving☆44Updated 3 years ago
- An end-to-end project on customer segmentation☆81Updated 2 years ago
- The repository contains a list of projects which I will work on while learning and implementing MLOps.☆78Updated 2 years ago
- Machine Learning Ops Project☆29Updated last year
- Maternal Health Risk prediction MLOps pipeline☆43Updated 2 years ago
- ☆31Updated 2 years ago
- A project from the ml_ops Zoomcamp (DataTalks) using Semiconductor data☆22Updated 2 years ago
- A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit☆82Updated 2 years ago
- Awesome MLOps Course Outline☆34Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 4 months ago
- Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…☆183Updated 3 years ago
- A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.☆37Updated last year
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆135Updated last year
- ☆14Updated 2 years ago
- Demo Computer Vision Project☆62Updated 2 years ago
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- This is code depository for my upcoming session. Will update details post the session☆40Updated 2 years ago
- Machine Learning Engineering Camp 2022☆40Updated 2 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆160Updated last year
- Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit☆129Updated last year
- Machine Learning Model and Deployment for Classification of Mango Varieties☆10Updated 2 years ago
- ☆65Updated last month
- Demo for CI/CD in a machine learning project☆106Updated last year
- 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 2 years ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 2 years ago
- A starter notebook for the Kitchenware classification competition on Kaggle☆15Updated 2 years ago
- Example machine learning pipeline with MLflow and Hydra☆89Updated 2 years ago
- MLOps hands-on notes, notebooks and scripts of months of learning☆27Updated 2 years ago
- Create a local dashboard to visualize and filter your GitHub feed☆29Updated 2 years ago