Procedurally generate seeded and customizable 2D maps with optional towns and roads, rendered with ansi colours or described in a 2D array of hashes ...

Fast Hierarchical Dart Throwing (HDT) implementation for generating 2D Poisson Disk blue noise distributions, written in Rust with Python bindings ...

Sampling isn’t just recycling old sounds—it’s a powerful form of musical storytelling that bridges generations, honors cultural legacy, and sparks innovation. Imagine sitting in your car, listening to ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demo of Poisson regression, where the goal is to predict a count of things arriving, such as the number of telephone calls ...

Differentially Private Stochastic Gradient Descent (DP-SGD) is a key method for training machine learning models like neural networks while ensuring privacy. It modifies the standard gradient descent ...

Abstract: To develop accurate inference algorithms on embedded manifolds such as the Grassmannian, we often employ several optimization tools and incorporate the characteristics of known manifolds as ...