Magenta: Music and Art Generation with Machine Intelligence

Lightwood is Legos for Machine Learning. . Contribute to mindsdb/lightwood development by creating an account on GitHub.

mlpack: a fast, header-only C++ machine learning library

Create a simple PDF effortlessly. :smile:. Contribute to nRewik/SimplePDF development by creating an account on GitHub.

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Create a knowledgebase quickly and easily. Perfect for apps, websites, wikis, and more. Write Markdown, get docs.

A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files - GitHub - py-pdf/pypdf: A pure-python PDF library capable of splitting, merging, cropping...

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. - GitHub - pytorch/ignite: High-level library to help with training and evaluating neu...

Build and maintain your APIs with Less downtimes, Fewer support tickets, Faster time to resolution and always up to date insights into your APIs

WeasyPrint, The Awesome Document Factory. Transform HTML and CSS into PDF documents.

Nessus Pro: The most widely deployed vulnerability assessment solution for identifying vulnerabilities, misconfigurations and out-of-compliance settings.

Learning Rust by building a partial Game Boy emulator.

Presenting timelines as cards, single or bundled in scrollable feed!

Find, compete, and earn points at the largest, most diverse hacker events in the world.

course website 2022

The National Cyber Summit (NCS) is the nation’s most innovative cyber security-technology event.

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These brief videos, recorded in 2020, contain ideas and suggestions from Professor Strang about the recommended order of topics in teaching and learning linear algebra. The first topic is called _A New Way to Start Linear Algebra_. The key point is to start right in with the columns of a matrix _A_ and the multiplication _Ax_ that combines those columns. That leads to _The Column Space of a Matrix_ and the idea of independent columns and the factorization _A = CR_ that tells so much about _A_. With good numbers, every student can see dependent columns. The remaining videos outline very briefly the full course: _The Big Picture of Linear Algebra_; _Orthogonal Vectors_; _Eigenvalues & Eigenvectors_; and _Singular Values & Singular Vectors_. Singular values have become so important and they come directly from the eigenvalues of _A'A_. A new video recorded in 2021, _Finding the Nullspace: Solving Ax = 0 by Elimination_, computes the nullspace of any matrix _A_. You can see this new idea developing in the [first video lecture](/courses/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018/resources/lecture-1-the-column-space-of-a-contains-all-vectors-ax) of Professor Strang’s 2019 course _[18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning](/courses/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018/)_.

An introduction to the Swift programming language. Nail the basics of iOS programming with this free tutorial by Swiftcast.tv

For anyone who wants to discover computer science, because it is cool!