Popular GitHub Repositories for Mlflow Tracking Server

Experiment tracking server focused on speed and scalability

This repository hosts the code to make it easier to deploy a customizable and flexible MLflow tracking server solution to your Kubernetes cluster.

Host MLFlow Tracking Server and Model Registry as a containerized application on Kubernetes

Wind Power Forecasting using Machine Learning techniques.

Setting up an MLflow Workspace with Docker

The Oracle Cloud Infrastructure (OCI) MLflow plugin empowers users of OCI by providing seamless integration with OCI resources, allowing them to effectively manage the entire life cycle of their machine learning use cases.

A use case of a reproducible machine learning pipeline using Dask, DVC, and MLflow.

MLflow-tracking server example with Minio and H2O

Project to deploy MLflow Tracking Server on an Azure Web App for Containers (Linux).

Использование MLflow для трекинга экспериментов PyTorch и Sklearn

Run easily MLflow with docker compose

A simple template for using MLflow from Papermill

This repository shows the use of MLflow to track parameters, metrics and artifacts of a pipeline on a machine learning model.

MLOps Zoomcamp hosted by DataTalksClub.

MSc Dissertation: Ensemble neural network for static malware classification using multiple representations

MLflow setup using Docker and AWS S3

Slides, code and demo of some CD/CI tasks for ML models deployed using MLFlow + Streamlit + FastAPI

Testing the integration of MLFlow and BentoML

Open source code for the mflux-ai python package

The goal of this project is to develop a machine learning model that predicts the likelihood of early readmission for hospital patients. The model will be trained using a dataset containing patient demographics, medical history, and hospital outcomes. The primary focus will be on improving the accuracy and interpretability of the model.