Arslan-Mehmood1 / Machine-learning-pipeline-deployment-using-Docker-and-FastAPI
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.
☆24Updated 2 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
- MLFlow End to End Workshop at Chandigarh University☆11Updated 2 years ago
- Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson☆20Updated last year
- ☆15Updated 8 months ago
- End to End MLOps☆10Updated 4 years ago
- meta_llama_2finetuned_text_generation_summarization☆21Updated last year
- Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, d…☆17Updated last year
- Code Repository for Blog - How to Productionize Large Language Models (LLMs)☆11Updated 11 months ago
- Awesome MLOps Course Outline☆34Updated 2 years ago
- LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading a…☆9Updated last year
- Create a local dashboard to visualize and filter your GitHub feed☆29Updated 2 years ago
- Kubeflow installation on windows 10/11☆17Updated 2 years ago
- Examples of using Evidently to evaluate, test and monitor ML models.☆21Updated last week
- Maternal Health Risk prediction MLOps pipeline☆43Updated 2 years ago
- ☆8Updated last year
- This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…☆17Updated last month
- Running load tests on a FastAPI application using Locust☆13Updated 4 months ago
- Test LLMs automatically with Giskard and CI/CD☆29Updated 7 months ago
- A set of jupyter notebooks☆23Updated 3 months ago
- Docker For Python Machine learning