🧹 Automated Filtering of Undesirable Web Data to Update LLM Knowledge

Open-Source Machine Learning Platform

Data version control with Makefile and DVC for a regression task to estimate insurance costs for certain individuals.

mini project

🏷️ An AI-driven approach to Label LLM Training Data

Fully automated MLOps pipeline with continuous training, drift detection, model versioning, and self-healing deployments using canary releases and real-time monitoring.

The backend of the KOI-system.

The runtime environment for the KOI-System. Train models, run instances, and collect samples.

🌱 Manifeste de la Clairveillance : pour des institutions qui mesurent, doutent et apprennent

End-to-end Financial MLOps pipeline for automated stock forecasting featuring PyTorch LSTM, Apache Airflow orchestration, MLflow tracking, MongoDB Atlas, and FastAPI containerized with Docker and GHCR.

A production-grade, end-to-end MLOps platform designed to automate the complete lifecycle of a financial fraud detection system. This repository demonstrates how to transition from a static ML model to a self-healing, automated production system.

A concurrent training and generation pipeline leveraging active learning to drive synthetic data rendering. By generating customized datasets simultaneously alongside model training, it creates a real-time feedback loop to dynamically refine object detection models.

This project integrates Airflow, EC2, MLFlow, and MLOps principles to deploy a robust pipeline for classifying medical MNIST images. Streamlit enables user-friendly image uploads, MLFlow handles model registry and inference, while Airflow automates data updates and model retraining on AWS EC2.

🌟 Explore how entropy and negentropy shape our world and learn to build a clearer future with insights from machine intelligence.