Open source platform for the machine learning lifecycle

Comparative analysis of 3 popular regression techniques based on 3 different datasets

Automation of Iris flower classes Mlflow experimental loging and prediction

This repository serves as a showcase for my data science projects, demonstrating a project on classification on HDPE and PET plastic bottle waste using convolution neural networks

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

mlflow container setup for docker, docker compose and kubernetes including helm chart

Experiment tracking server focused on speed and scalability

Creating an end-to-end machine learning pipeline, implementing experiment tracking with MLflow, and performing hyperparameter optimization using Optuna.

MLflow tracking server with S3 compatible storage

DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

AIOps modules is a collection of reusable Infrastructure as Code (IaC) modules for Machine Learning (ML), Foundation Models (FM), Large Language Models (LLM) and GenAI development and operations on AWS

End-to-End deployment of E-commerce customers segmentation using Clustering Machine learning algorithms in Google Cloud Platform and MLOps Tools

PawMark is a platform for developers to build, schedule and monitor data pipelines.

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

Framework to bring LLM applications to production

👑 Empowering individual to agnostically deploy and manage applications through the practice of immutable infrastructure

This is my repo of MLOps Zoomcamp course at Data Talks Club.

The CORDS ML Resource Manager is an REST API for managing ML assets from MLFlow, integrating with CORDS-local-digital-thread and IDSA Data Applications. It offers comprehensive ML model management and enhances semantic organization through CORDS-Semantic-lib, ensuring efficient cataloging and accessibility of ML artifacts.