Large language models (LLMs) are artificial intelligence (AI) tools that can generate human expert–like content and be used to accelerate the synthesis of scientific literature, but they can spread ...
A complete C++ implementation of the Python hmmlearn library, featuring modern C++17, Eigen for linear algebra, and comprehensive HMM algorithms. hmm_c++/ ├── include/ # Header files │ ├── types.hpp # ...
With practically no expression on his face, babbling away, all kinds of commotion around him, he's funny. I asked, "Why do you think 'less is more' can be funny?" "Well, I think so much of theater, ...
Work is pushing AI pretty hard and some people are chewing up tokens like crazy. We had a session where one coworker showed his cursor setup and the different MCP servers he's tied into to automate ...
The authors present a comprehensive set of tools to compactly characterize the time-frequency interactions across a network. The utility of the toolbox is compelling and demonstrated through a series ...
NeuroKit2 is a Python Toolbox for Neurophysiological Signal Processing. The presented method is an adaptation of NeuroKit2 to simplify and automate computation of the various mathematical estimates of ...
Sequentia is a Python package that provides various classification and regression algorithms for sequential data, including methods based on hidden Markov models and dynamic time warping. Some ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results