The goal of this project is to finish the XGBoost implementation inside of mlpack, followed by intense tuning, profiling, and improving such that it...

I will implement the yolov3-tiny model using mlpack. I will get Darknet-19 working, flesh out the API, build and train yolov3-tiny, publish the...

This proposal seeks to enrich the mlpack library by incorporating advanced evolutionary strategies, specifically focusing on enhancing the Covariance...

Training intricate machine learning models to achieve the desired level of proficiency can be time-consuming and require high computational...

The project proposes to implement the TD7 algorithm, an optimized version of the TD3 algorithm. It introduces four key new components: State-Action...

Multi-objective optimization (MOO) plays a crucial role in decision-making across diverse fields, where conflicting objectives need to be balanced....