aditya10 / flask-ml-api
A Flask API to deploy machine learning models
☆19Updated 4 years ago
Alternatives and similar repositories for flask-ml-api:
Users that are interested in flask-ml-api are comparing it to the libraries listed below
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- ☆67Updated 5 years ago
- Deploying Models to Production with Mlflow and AWS Sagemaker☆22Updated 3 years ago
- ☆18Updated 3 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 4 years ago
- Best practices for engineering ML pipelines.☆37Updated 2 years ago
- This repository aims to develop a step-by-step tutorial on how to build a Kubeflow Pipeline from scratch in your local machine.☆41Updated last year
- Book Projects☆24Updated 3 years ago
- ☆24Updated last month
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆35Updated 4 years ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆44Updated 5 years ago
- MLOps hands-on notes, notebooks and scripts of months of learning☆23Updated 2 years ago
- PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.☆47Updated last year
- Slides and notebook for the workshop on serving bert models in production☆25Updated 2 years ago
- Using AWS Lambda with Docker to deploy a deep learning model☆23Updated 4 years ago
- Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'☆119Updated last year
- Kubeflow installation on windows 10/11☆17Updated 2 years ago
- Kafka variant of the MLOps Level 1 stack☆24Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 2 months ago
- Guide on creating an API for serving your ML model☆65Updated 2 years ago
- Project demonstrating dual model deployment scenarios using Vertex AI (GCP).☆35Updated 3 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆39Updated 3 years ago
- ☆14Updated last year
- From data gathering to model deployment. Complete ML pipeline using Docker, Airflow and Python.☆13Updated last year
- A project from the ml_ops Zoomcamp (DataTalks) using Semiconductor data☆22Updated 2 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆34Updated last year
- A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit☆82Updated 2 years ago
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last year
- ☆11Updated 4 years ago
- Pytest for Data Science Beginners☆58Updated 6 years ago