The current machine_learning directory in TheAlgorithms/Python lacks implementations of neural network optimizers, which are fundamental to training deep learning models effectively. To fill this gap ...

Abstract: Adaptive optimizers are pivotal in guiding the weight updates of deep neural networks, yet they often face challenges such as poor generalization and oscillation issues. To counter these, we ...

tensorkit-learn is a hybrid C++/Python machine learning framework that demonstrates the implementation of core ML concepts from first principles. It features a custom tensor library written in C++ for ...