This library was generated with [Angular CLI](https://github.com/angular/angular-cli) version 14.1.0.
Generic build of Mozilla's PDF.js library.
Simple library for learning porpuses
A simple zero-configuration command-line http server
A lossless JSON5 tokenizer and parser for Node.js that maintains indentation, spacing, and comments.
Simple to use, blazing fast and thoroughly tested websocket client and server for Node.js
A conversational AI-driven telecom multi-agent system for managing call balances, push notifications, marketing, targeting, and sales.
List of ML tasks for huggingface.co/tasks
Fastest 5KB JS implementation of secp256k1 ECDH & ECDSA signatures compliant with RFC6979
Just another component library.
Vertex AI client for Node.js
Web Assembly streaming Opus decoder with Machine Learning enhancements
Unzip library for NodeJS
Simple yet powerful framework for building command-line apps.
yargs the modern, pirate-themed, successor to optimist.
Area Proportional Venn and Euler Diagrams
Simple no-frills code editor with syntax highlighting
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
Simple and complete DOM testing utilities that encourage good testing practices.
An open-source machine learning framework.
Self-learning vector memory for AI agents — single-file .rvf cognitive container with HNSW search, episodic Reflexion memory, causal graph + Cypher, 9 RL algorithms, Thompson Sampling bandit, 41 MCP tools, hybrid (BM25 + dense) retrieval, GNN attention. 1
Simple and complete React DOM testing utilities that encourage good testing practices.
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
Evaluate Content Security Policies for a wide range of bypasses and weaknesses
(work in progress)
Qoa is a simple machine learning library for Ruby, including a basic feedforward neural network implementation with backpropagation.
This is a simple machine learning library written in Ruby. It provides implementations of linear regression and multiclass perceptron and visualization and validation methods to verify results. Also included are helper methods to work with training and testing data.
This is my first gem and I'm learning how to make one while making a simple yet useful ruby library for my personal projects.
An implementation of a linear regression machine learning algorithm implemented in Ruby. The library supports simple problems with one independent variable used to predict a dependent variable as well as multivariate problems with multiple independent variables to predict a dependent variable. You can train your algorithms using the normal equation or gradient descent. The library is implemented in pure ruby using Ruby's Matrix implementation.
An implementation of a linear regression machine learning algorithm implemented in Ruby. The library supports simple problems with one independent variable used to predict a dependent variable as well as multivariate problems with multiple independent variables to predict a dependent variable. You can train your algorithms using the normal equation or gradient descent. The library is implemented in pure ruby using Ruby's Matrix implementation.
Ruby bindings for Strophe 'http://code.stanziq.com/strophe/', a C library for writing XMPP clients. If all you need is a simple XMPP bot that react to message and presence notifications, you might be better off with XMPPBot, which is an implementation I wrote on top of StropheRuby. IMPORTANT : This gem is quite experimental currently... it is not ready for production! Strophe 'http://code.stanziq.com/strophe/' is a robust and well written C library that allows the developer to implement XMPP clients. I wanted to be able to use the power of this library with the ruby syntax. I didn't use SWIG to generate the bindings for 2 reasons : 1. I wanted to learn how to write a C extension for ruby 2. I didn't like how SWIG generate gazilions of lines of code My other project, XMPPBot, is an implementation of Strophe Ruby that allows the ruby developer to write a XMPP bot in a few lines of code.
Arachni is a feature-full, modular, high-performance Ruby framework aimed towards helping penetration testers and administrators evaluate the security of web applications. It is smart, it trains itself by monitoring and learning from the web application's behavior during the scan process and is able to perform meta-analysis using a number of factors in order to correctly assess the trustworthiness of results and intelligently identify (or avoid) false-positives. Unlike other scanners, it takes into account the dynamic nature of web applications, can detect changes caused while travelling through the paths of a web application’s cyclomatic complexity and is able to adjust itself accordingly. This way, attack/input vectors that would otherwise be undetectable by non-humans can be handled seamlessly. Moreover, due to its integrated browser environment, it can also audit and inspect client-side code, as well as support highly complicated web applications which make heavy use of technologies such as JavaScript, HTML5, DOM manipulation and AJAX. Finally, it is versatile enough to cover a great deal of use cases, ranging from a simple command line scanner utility, to a global high performance grid of scanners, to a Ruby library allowing for scripted audits, to a multi-user multi-scan web collaboration platform.
IrtRuby is a comprehensive Ruby library for Item Response Theory (IRT) analysis, commonly used in educational assessment, psychological testing, and survey research. Features three core IRT models: • Rasch Model (1PL) - Simple difficulty-only model • Two-Parameter Model (2PL) - Adds item discrimination • Three-Parameter Model (3PL) - Includes guessing parameter Key capabilities: • Robust gradient ascent optimization with adaptive learning rates • Flexible missing data strategies (ignore, treat as incorrect/correct) • Comprehensive performance benchmarking suite • Memory-efficient implementation with excellent scaling • Production-ready with extensive test coverage Perfect for researchers, data scientists, and developers working with educational assessments, psychological measurements, or any binary response data where item and person parameters need to be estimated simultaneously.
<div id="top"></div> <!-- *** Thanks for checking out the Best-README-Template. If you have a suggestion *** that would make this better, please fork the repo and create a pull request *** or simply open an issue with the tag "enhancement". *** Don't forget to give the project a star! *** Thanks again! 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I want to create a README template so amazing that it'll be the last one you ever need -- I think this is it. Here's why: * Your time should be focused on creating something amazing. A project that solves a problem and helps others * You shouldn't be doing the same tasks over and over like creating a README from scratch * You should implement DRY principles to the rest of your life :smile: Of course, no one template will serve all projects since your needs may be different. So I'll be adding more in the near future. You may also suggest changes by forking this repo and creating a pull request or opening an issue. Thanks to all the people have contributed to expanding this template! Use the `BLANK_README.md` to get started. <p align="right">(<a href="#top">back to top</a>)</p> ### Built With This section should list any major frameworks/libraries used to bootstrap your project. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples. * [Next.js](https://nextjs.org/) * [React.js](https://reactjs.org/) * [Vue.js](https://vuejs.org/) * [Angular](https://angular.io/) * [Svelte](https://svelte.dev/) * [Laravel](https://laravel.com) * [Bootstrap](https://getbootstrap.com) * [JQuery](https://jquery.com) <p align="right">(<a href="#top">back to top</a>)</p> <!-- GETTING STARTED --> ## Getting Started This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps. ### Prerequisites This is an example of how to list things you need to use the software and how to install them. * npm ```sh npm install npm@latest -g ``` ### Installation _Below is an example of how you can instruct your audience on installing and setting up your app. This template doesn't rely on any external dependencies or services._ 1. Get a free API Key at [https://example.com](https://example.com) 2. Clone the repo ```sh git clone https://github.com/your_username_/Project-Name.git ``` 3. Install NPM packages ```sh npm install ``` 4. Enter your API in `config.js` ```js const API_KEY = 'ENTER YOUR API'; ``` <p align="right">(<a href="#top">back to top</a>)</p> <!-- USAGE EXAMPLES --> ## Usage Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources. _For more examples, please refer to the [Documentation](https://example.com)_ <p align="right">(<a href="#top">back to top</a>)</p> <!-- ROADMAP --> ## Roadmap - [x] Add Changelog - [x] Add back to top links - [ ] Add Additional Templates w/ Examples - [ ] Add "components" document to easily copy & paste sections of the readme - [ ] Multi-language Support - [ ] Chinese - [ ] Spanish See the [open issues](https://github.com/othneildrew/Best-README-Template/issues) for a full list of proposed features (and known issues). <p align="right">(<a href="#top">back to top</a>)</p> <!-- CONTRIBUTING --> ## Contributing Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**. If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". 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I've included a few of my favorites to kick things off! * [Choose an Open Source License](https://choosealicense.com) * [GitHub Emoji Cheat Sheet](https://www.webpagefx.com/tools/emoji-cheat-sheet) * [Malven's Flexbox Cheatsheet](https://flexbox.malven.co/) * [Malven's Grid Cheatsheet](https://grid.malven.co/) * [Img Shields](https://shields.io) * [GitHub Pages](https://pages.github.com) * [Font Awesome](https://fontawesome.com) * [React Icons](https://react-icons.github.io/react-icons/search) <p align="right">(<a href="#top">back to top</a>)</p> <!-- MARKDOWN LINKS & IMAGES --> <!-- https://www.markdownguide.org/basic-syntax/#reference-style-links --> [contributors-shield]: https://img.shields.io/github/contributors/othneildrew/Best-README-Template.svg?style=for-the-badge [contributors-url]: https://github.com/othneildrew/Best-README-Template/graphs/contributors [forks-shield]: https://img.shields.io/github/forks/othneildrew/Best-README-Template.svg?style=for-the-badge [forks-url]: https://github.com/othneildrew/Best-README-Template/network/members [stars-shield]: https://img.shields.io/github/stars/othneildrew/Best-README-Template.svg?style=for-the-badge [stars-url]: https://github.com/othneildrew/Best-README-Template/stargazers [issues-shield]: https://img.shields.io/github/issues/othneildrew/Best-README-Template.svg?style=for-the-badge [issues-url]: https://github.com/othneildrew/Best-README-Template/issues [license-shield]: https://img.shields.io/github/license/othneildrew/Best-README-Template.svg?style=for-the-badge [license-url]: https://github.com/othneildrew/Best-README-Template/blob/master/LICENSE.txt [linkedin-shield]: https://img.shields.io/badge/-LinkedIn-black.svg?style=for-the-badge&logo=linkedin&colorB=555 [linkedin-url]: https://linkedin.com/in/othneildrew [product-screenshot]: images/screenshot.png