step-size

Python implementation of solvers for differential algebraic equation's (DAE's) that should be added to scipy one day.

Improved Hypergradient optimizers for ML, providing better generalization and faster convergence.

R package for accurate and quick numerical derivatives of arbitrary order

Q-Learing algorithm solves simple mazes.

classicsml ⛈️🔄📉 : Classsic Supervised ML # Cost Function # Gradient Descent

Learning-rate schedules from boundary-value constrained trust-region problems.

A feature-rich React Counter App with customizable step size, upper/lower bounds, negative toggle, and persistent state using localStorage.

🔄 Implement supervised machine learning models, minimize errors with cost functions, and optimize using gradient descent for effective model training.