A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions—but there is always room ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

There's a selection of pre-built Google templates for those who need them. Microsoft's equivalent apps, Word, Excel, and PowerPoint, offer advanced word-processing tools, like a wider choice of ...

This MSc course gives you the opportunity to learn computer and data science skills, as well as introducing you to functional approaches to applied machine learning. From October 2024, you can only ...

LaTeX is a valuable tool for communicating machine learning concepts to others. We expect you to typeset your homeworks in LaTeX. We always release a LaTeX starter template. You will lose 1 point on ...

mlpack is an intuitive, fast, and flexible header-only C++ machine learning library with bindings to other languages ... Citations are beneficial for the growth and improvement of mlpack. mlpack is a ...