responsible-ai Scalable fairness Develop fair machine learning systems designed to mitigate bias while maintaining performance across large datasets and complex environments. holisticai library An open-source tool to assess and improve the trustworthiness of AI systems. optimization optymus An optimization environment to solve problems in science and engineering mutual information estimation Comprehensive exploration of theoretical foundations and algorithmic approaches for estimating mutual information, with focus on neural-based estimators. portfolio optimization Portfolio optimization with information theoretical methods learning-on-graphs graph self-supervised learning Learning on graphs with self-supervised methods anomaly detection in global financial market Anomaly detection in global financial market with graph neural networks others Anomaly detection in oil wells Developing unsupervised algorithms for anomaly detection in oil wells at Petrobras, aimed at identifying operational irregularities to enhance safety and optimize performance.
