markdouthwaite / serverless-scikit-learn-demo
A repository providing demo code for deploying a lightweight Scikit-Learn based ML pipeline modelling heart disease data as a Google Cloud Function.
☆9Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for serverless-scikit-learn-demo
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆39Updated last year
- This is code depository for my upcoming session. Will update details post the session☆40Updated last year
- "1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data…☆42Updated 3 months ago
- The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info☆16Updated 3 years ago
- Demonstration of the Model Training as a CI/CD System in Vertex AI☆30Updated 3 years ago
- Demo for CI/CD in a machine learning project☆93Updated last year
- Deep Learning Projects on TensorFlow and Keras☆20Updated 5 months ago
- Table detection with Florence.☆13Updated 4 months ago
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆44Updated 2 years ago
- Demo on how to use Prefect with Docker☆26Updated 2 years ago
- Project demonstrating dual model deployment scenarios using Vertex AI (GCP).☆35Updated 2 years ago
- In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits☆105Updated 3 years ago
- Data pipeline for extracting, transforming, and visualising Covid-19 data☆14Updated last year
- A repository that showcases how you can use ZenML with Git☆64Updated 3 months ago
- Kedro starter templates using Scikit-learn and optionally MLflow☆9Updated 11 months ago
- Code examples to demonstrate the use of mlflow tracking and serving instances☆13Updated last year
- Tutorials/use cases of using Prefect in an ML project.☆40Updated last year
- Test LLMs automatically with Giskard and CI/CD☆28Updated 3 months ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆34Updated 11 months ago
- Code labs for Vertex AI☆46Updated 3 years ago
- Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker☆99Updated 2 years ago
- A Machine Learning Pipeline built with MLflow, Prefect, BentoML, Streamlit and Evidently.☆25Updated 2 years ago
- Examples of using Evidently to evaluate, test and monitor ML models.☆18Updated 2 months ago
- An end-to-end MLOps pipeline(CI/CD/CT/CM) project for training, versioning, deploying, and monitoring machine learning models using FastA…☆9Updated 4 months ago
- serving a torch model using Celery, Redis and RabbitMQ to serve users asynchronously☆19Updated 9 months ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆64Updated 9 months ago
- A beginner's project on automating the training, evaluation, versioning, and deployment of models using GitHub Actions.☆26Updated 8 months ago
- Demo on how to use Prefect 2 in an ML project☆40Updated 2 years ago
- an end-to-end data pipeline extracting music listening habits and producing an insightful dashboard☆14Updated 7 months ago