I'm working on a personal project called KaoCards, a flashcard app for remembering people's names and faces. When I designed the product I thought it'd be cool to have an animated gradient as the ...

Understanding the mathematical intricacies behind machine learning models is pivotal to the whole data science process. From choosing the right model, data preparation, model tuning and evaluation, ...

Deep learning frameworks leverage GPUs to perform massively-parallel computations over batches of many training examples efficiently. However, for certain tasks, one may be interested in performing ...

Autograd is a python package that can provide us with a way to differentiate Numpy and Python code. It is a library for gradient-based optimization. Using this package we can work with a large subset ...

Abstract: Editing a photo-realistic gradient mesh is a tough task. Even only editing the colors of an existing gradient mesh can be exhaustive and time-consuming. To facilitate user-friendly color ...