Open source platform for the machine learning lifecycle
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Updated
Jun 10, 2024 - Python
Open source platform for the machine learning lifecycle
A Healthcare System Integrating Azure-Powered Machine Learning, Deep Learning Models for Disease Detection, and a Conversational AI Chatbot
PawMark is a platform for developers to build, schedule and monitor data pipelines.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Simple modern mlops for individuals using docker compose
DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS
Repository de projet de machine learning appliqué et de dashboard interactif
Experiment tracking server focused on speed and scalability
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
This is a simple demonstration of how MLflow can be utilised to track and trace local ML models trained in a Federated Learning set-up.
Open source platform for the machine learning lifecycle
👑 Empowering individual to agnostically deploy and manage applications through the practice of immutable infrastructure
Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc
Comparative analysis of 3 popular regression techniques based on 3 different datasets
Automation of Iris flower classes Mlflow experimental loging and prediction
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