Eric Gutiérrez, 6th February 2026. A Python implementation of a 1-hidden layer neural network built entirely from first principles. This project avoids deep learning libraries (like TensorFlow or ...

Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch. #Backpropagation #Python #DeepLearning Trump reaction to watching video of ICE ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We adapted an existing approach to identifying stabilizable crystal structures from ...

After years of debate and development, bcachefs—a modern copy-on-write filesystem once merged into the Linux kernel—is being removed from mainline. As of kernel 6.17, the in-kernel implementation has ...

This project is my independent research into SAT solvers written entirely in Python, designed to explore the theory and practice of propositional satisfiability. It begins with a baseline DPLL ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind Adadelta, why it was introduced as an improvement over Adagrad, and guides you ...

Abstract: Gaussian Process Regression (GPR) is a machine learning technique that, besides predicting certain target values, also quantifies their uncertainty. With that, GPR is increasingly gaining ...