ahmedbesbes / anonymization-apiLinks
How to build and deploy an anonymization API with FastAPI and SpaCy
☆71Updated 4 years ago
Alternatives and similar repositories for anonymization-api
Users that are interested in anonymization-api are comparing it to the libraries listed below
Sorting:
- An end-to-end project on customer segmentation☆83Updated 2 years ago
- Microservice creation and Machine Learning Model Deployment using FastAPI☆117Updated 3 years ago
- Maternal Health Risk prediction MLOps pipeline☆45Updated 2 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 4 years ago
- Learn how to build and deploy NLP model with FastAPI☆32Updated 4 years ago
- An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell☆77Updated 3 years ago
- Example MLOps using BentoML & mlFlow☆38Updated 4 years ago
- ☆66Updated 5 months ago
- Serving TensorFlow models with TensorFlow Serving☆43Updated 3 years ago
- This is code depository for my upcoming session. Will update details post the session☆40Updated 2 years ago
- Syllabus for Artificial Intelligence for Product Innovation Master of Engineering: https://ai.meng.duke.edu/degree☆32Updated 2 years ago
- Project for real-time anomaly detection using Kafka and python☆58Updated 2 years ago
- Demo for CI/CD in a machine learning project☆112Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 8 months ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated last month
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last month
- Completely Scalable FastAPI based template for Machine Learning, Deep Learning and any other software project which wants to use Fast API…☆226Updated 4 months ago
- deploying an ML model to Heroku with FastAPI☆51Updated last year
- Build Deep Neural Network model in Keras and deploy a REST API to production with Flask on Google App Engine☆33Updated 2 years ago
- Demo for Using GitHub Actions in MLOps☆40Updated 3 years ago
- A Machine Learning Pipeline built with MLflow, Prefect, BentoML, Streamlit and Evidently.☆27Updated 3 years ago
- Production-Ready Applied Deep Learning☆91Updated last month
- The repository contains a list of projects which I will work on while learning and implementing MLOps.☆79Updated 2 years ago
- In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits☆106Updated 3 years ago
- Demo Computer Vision Project☆64Updated 2 years ago
- The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.☆52Updated 2 years ago
- A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit☆93Updated 3 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆92Updated 3 years ago
- Template for data pipelines, ML workflows, API dev and monitoring☆45Updated last year
- A simple guide to MLOps through ZenML and its various integrations.☆187Updated last year