Notebooks exploring LLMs, AI agents, and their observability and safety with MLOps.

Different flavours of CUSUM for change point detection.

Data imputation with collaborative filtering and latent factor models for wind farms time series data

Machine Learning for GEOspatial applications

Non-parametric statistical tests for multivariate distribution shift detection.

Basic neural matrix factorization for missing data imputation

to rag or not to rag

Notebooks for generative AI.

Online concept drift detection and explanation.

As fast as you recommend

Zebrafish project for Champalimaud Research

streamlit demo app for geospatial graph representation for urban road networks

Simple streamlit app for road traffic forecasting in Belgium with an LSTM-based encoder-decoder model architecture

code for the paper "Attention-based Multi-Task Learning Strategy for Traffic Forecasting"