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

Open source platform for the machine learning lifecycle

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

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

Simple open source MLOps with docker compose

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

Multi classification for automated detection of faults in a production machine

Framework to bring LLM applications to production

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

Implement, test, and organize recent reseach of GNN-based methods. Enable lifecycle controlled with MLflow.

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

This is a production grade project which is used to classify eight different types of Skin Diseases using CNN. It is trained on top of VGG16 architecture and used MLFLOW for model versioning. It also uses DVC pipeline to automate the complete each stage of the project. Finally I have dockerized the project and Hosted In AWS using EC2 instance, ECR.

Experiment tracking server focused on speed and scalability

Réalisez un dashboard et assurez une veille technique

Developing delivery time estimation model using Neural Networks

Predicting building heating and cooling loads from it's architectural features using ML and utilizing MLflow for experiment tracking.

an open-sourced highly automated machine learning Python framework for data-driven geochemistry discovery

A resuable template for Machine Learning projects