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A DOM-only, super-fast, uber-tolerant XSS sanitizer for HTML, SVG and MathML. It's also very simple to use and get started with. DOMPurify was started in February 2014 and, meanwhile, has reached version 2.3.0. DOMPurify is written in JavaScript and works in all modern browsers (Safari (10+), Opera (15+), Internet Explorer (10+), Edge, Firefox and Chrome - as well as almost anything else using Blink or WebKit). It doesn't break on MSIE6 or other legacy browsers. It either uses a fall-back...

A lightweight, cross-platform, portable, and easy-to-maintain LaTeX distribution based on TeX Live. TinyTeX is a custom LaTeX distribution based on TeX Live that is small in size but functions well in most cases, especially for R users. If you run into the problem of missing LaTeX packages, it should be super clear to you what you need to do (in fact, R users won’t need to do anything). You only install LaTeX packages you actually need. Currently, TinyTeX works best for R users. Other users can...

An input method thesaurus conversion software, supports the following more than 20 input method tools and thesaurus. This program supports batch conversion (drag and drop multiple thesaurus files at a time, or hold down Ctrl to select multiple files), support command line mode (use -? command to view help under the command line), and support Windows, Linux, and MacOS. Supports Cangjie, Erbi (Super Strong Erbi, Qingsong Erbi, etc.), Pinyin (full spelling, double spelling), Wubi (Wubi 86, Wubi 98...

Grassroots DiCoM is a C++ library for DICOM medical files. It is accessible from Python, C#, Java and PHP. It supports RAW, JPEG, JPEG 2000, JPEG-LS, RLE and deflated transfer syntax. It comes with a super fast scanner implementation to quickly scan hundreds of DICOM files. It supports SCU network operations (C-ECHO, C-FIND, C-STORE, C-MOVE). PS 3.3 & 3.6 are distributed as XML files. It also provides PS 3.15 certificates and password based mecanism to anonymize and de-identify DICOM...

This framework provides cross-platform JSON-RPC (remote procedure call) support for C++. It is fully JSON-RPC 2.0 & 1.0 compatible.

This tutorial tries to do what most Most Machine Learning tutorials available online do not. It is not a 30 minute tutorial that teaches you how to "Train your own neural network" or "Learn deep learning in under 30 minutes". It's a full pipeline which you would need to do if you actually work with machine learning - introducing you to all the parts, and all the implementation decisions and details that need to be made. The dataset is not one of the standard sets like MNIST or CIFAR, you...