Mouse primary motor and somatosensory cortices contain detailed information about the many time-varying arm and paw joint angles during reaching and grasping, implying a 'low-level' role in ...

This is a custom implementation of a logistic regression model in Python, created from scratch. The model uses gradient descent optimization to learn the optimal weights and bias for binary ...

Ballot (Balanced Lloyd with Optimal Transport) is a high-performance Python package for balanced clustering. It solves the problem of creating equal-sized clusters (or clusters with specific capacity ...

We list the best IDE for Python, to make it simple and easy for programmers to manage their Python code with a selection of specialist tools. An Integrated Development Environment (IDE) allows you to ...

Abstract: Different from the traditional supervised learning in which each training example has only one explicit label, superset label learning (SLL) refers to the problem that a training example can ...

Abstract: Algorithms for signal denoising that combine wavelet-domain sparsity and total variation (TV) regularization are relatively free of artifacts, such as pseudo-Gibbs oscillations, normally ...