mlflow-projects

Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.

This repository provides an example of dataset preprocessing, GBRT (Gradient Boosted Regression Tree) model training and evaluation, model tuning and finally model serving (REST API) in a containerized environment using MLflow tracking, projects and models modules.

MLflow example to track Parameters and Metrics by using MLproject Functionality

A collection of machine learning projects serving as sample applications that can be deployed with FuseML.

The MLflow TensorFlow Guide is an educational project. This project demonstrates how to build, train, and manage a TensorFlow machine learning model using MLflow, a powerful open-source platform for the end-to-end machine learning lifecycle.

Using MLflow to deploy your RAG pipeline, using LLamaIndex, Langchain and Ollama/HuggingfaceLLMs/Groq

This is end to end ml project which is implemented using mlops concepts. I implemented end to end MLOps pipleine using cicd and make docker image.

A hands-on MLflow project demonstrating experiment tracking, model training, and lifecycle management using Scikit-learn, XGBoost, and Dagshub integration.

ML model building using Mlflow workflow for en-to-end development.

A ready-to-run Python/Tensorflow2/MLflow/Docker setup to train models on GPU and log performance and resulting model in MLflow.

Les entreprises perdent chaque année des clients sans toujours comprendre pourquoi. Ce projet vous permettra de suivre et gérer le churn grâce à MLflow, en versionnant les modèles et visualisant les métriques pour améliorer la fidélisation et le revenu client.

MLFLow project for collecting data for the issue tag suggester model

ML Flow Experiments

Mlflow Remote Tracking using AWS

Auto MLFlow is an open-source automated MLOps library for MLFlow in Python. While MLFlow provides a UI for tracking experiments, Auto MLFlow automates and simplifies the logging process, reducing manual effort and ensuring seamless integration with ML workflows.

MLFLow project for training issue tag suggester model

End to End ML Project, from tracking entire experiment, to serving it through a backend containerized using docker, and CI/CD implemented through GitHub Actions to ensure all changes in future do not break production code.

Learning MLOps

Hybrid Graph- and Vector- RAG pipeline built over complex results on three-dimensional quantum field theories. Extends legacy RAG pipeline. Includes a PoC trained on a single paper, and a full pipeline trained on SoTA results.