Integrating Advanced CMA-ES Strategies into mlpack
beny
This proposal seeks to enrich the mlpack library by incorporating advanced evolutionary strategies, specifically focusing on enhancing the Covariance...
Implementing XGBoost
Abhimanyu Dayal
The goal of this project is to finish the XGBoost implementation inside of mlpack, followed by intense tuning, profiling, and improving such that it...
Adding NSGA-3 and AGE-MOEA Multi Objective Optimizers
Satyam Govind Shukla
Multi-objective optimization (MOO) plays a crucial role in decision-making across diverse fields, where conflicting objectives need to be balanced....
Performance and Memory Optimization for Machine Learning Algorithms in mlpack
Mark Fischinger
In Google Summer of Code 2024, I focused on optimizing key algorithms in the mlpack library, targeting both performance and memory usage across...
ONNX-mlpack converter
kumar utkarsh
Training intricate machine learning models to achieve the desired level of proficiency can be time-consuming and require high computational...
Implementing yolov3-tiny in mlpack
Andrew Furey
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...
