FourthBrain / FastAPI-for-Machine-Learning-Live-DemoLinks
This repository contains the files to build your very own AI image generation web application! Outlined are the core components of the FastAPI web framework, and application leverage the newly-released Stable Diffusion text-to-image deep learning model.
☆171Updated 2 years ago
Alternatives and similar repositories for FastAPI-for-Machine-Learning-Live-Demo
Users that are interested in FastAPI-for-Machine-Learning-Live-Demo are comparing it to the libraries listed below
Sorting:
- A repository for all ZenML projects that are specific production use-cases.☆273Updated last week
- Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.☆240Updated 2 years ago
- A simple guide to MLOps through ZenML and its various integrations.☆187Updated last year
- Demo for CI/CD in a machine learning project☆111Updated 2 years ago
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆134Updated 2 years ago
- Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit☆129Updated last year
- Demo Computer Vision Project☆63Updated 2 years ago
- An end-to-end project on customer segmentation☆83Updated 2 years ago
- An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell☆78Updated 3 years ago
- mlops template☆296Updated 7 months ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated last year
- Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)☆145Updated 2 years ago
- MLOps maturity assessment☆61Updated 2 years ago
- This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.☆416Updated 7 months ago
- Streamlit and FastAPI app for water potability assessment☆30Updated 3 years ago
- This repository will take you through creating a FastAPI StableDiffusion app (including Dockerfile) all the way to adding a new feature u…☆38Updated 2 years ago
- Demo for Using GitHub Actions in MLOps☆40Updated 3 years ago
- Deploy ML models with FastAPI, Docker, and Heroku☆86Updated 3 years ago
- Machine Learning Engineering with Python☆185Updated 2 years ago
- Educational materials on deep learning by Weights & Biases☆638Updated 7 months ago
- 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
- Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker☆105Updated 3 years ago
- The repository contains a list of projects which I will work on while learning and implementing MLOps.☆79Updated 2 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆35Updated last year
- This is your friendly fitness assistant, which is a RAG applications built as a part of LLM Zoomcamp☆72Updated 11 months ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆102Updated 2 years ago
- Different tutorials how to deploy Machine Learning models☆111Updated 3 years ago
- 💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML☆138Updated 5 months ago
- This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various fra…☆51Updated 2 years ago
- ☆240Updated 3 months ago