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

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

The backend of the KOI-system.

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

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.

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.

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