Arslan-Mehmood1 / Machine-learning-pipeline-deployment-using-Docker-and-FastAPILinks
This project is focused on the Deployment phase of machine learning. The Docker and FastAPI are used to deploy a dockerized server of trained machine learning pipeline.
☆26Updated 3 years ago
Alternatives and similar repositories for Machine-learning-pipeline-deployment-using-Docker-and-FastAPI
Users that are interested in Machine-learning-pipeline-deployment-using-Docker-and-FastAPI are comparing it to the libraries listed below
Sorting:
- Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson☆20Updated 2 years ago
- An end-to-end project on customer segmentation☆83Updated 3 years ago
- Maternal Health Risk prediction MLOps pipeline☆46Updated 3 years ago
- "1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data…☆50Updated last year
- meta_llama_2finetuned_text_generation_summarization☆21Updated 2 years ago
- This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various fra…☆54Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated last year
- A pipeline to detect data drift and retrain the model when there is drift☆24Updated 2 years ago
- Machine Learning Model Serving Patterns and Best Practices☆36Updated 3 weeks ago
- This is code depository for my upcoming session. Will update details post the session☆40Updated 2 years ago
- Create a local dashboard to visualize and filter your GitHub feed☆29Updated 3 years ago
- Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.☆17Updated 2 years ago
- An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell☆81Updated 3 years ago
- ☆66Updated 8 months ago
- How to build and deploy an anonymization API with FastAPI and SpaCy☆71Updated 4 years ago
- Demo for CI/CD in a machine learning project☆116Updated 2 years ago
- Datastructure for data science☆23Updated last year
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits☆108Updated 4 years ago
- Awesome MLOps Course Outline☆36Updated 3 years ago
- This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…☆27Updated 10 months ago
- Deep Learning Projects on TensorFlow and Keras☆20Updated last year
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆57Updated 3 years ago
- An end-to-end project on customer segmentation☆22Updated 3 years ago
- A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit☆96Updated 3 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆95Updated 3 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆43Updated 4 years ago
- ☆23Updated 3 years ago
- MLFlow End to End Workshop at Chandigarh University☆11Updated 2 years ago
- Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, d…☆20Updated 9 months ago