Search Results for "learning"

The most powerful and easy-to-use HTTP interface tool for agile development, machine learning zero-code testing, code generation and static inspection, document generation and cursor suspension comments. A one-stop experience integrating documentation, testing, mocking, debugging, and management, as well as efficient and easy-to-use shortcut keys such as one-key formatting, commenting/uncommenting, etc. In terms of common functions, it far exceeds Postman, Swagger, YApi and other open-source and commercial API documentation/testing tools, and can import use cases and documents with one click. ...

TinyWebServer is a lightweight C++ web server framework for Linux, intended for learning and small to medium load usage. It leverages nonblocking sockets, epoll, and thread pools to handle high concurrency. It supports HTTP request parsing (GET and POST), serves static content (images, video files), integrates basic database-backed user registration/login, and implements synchronous/asynchronous logging systems. The project is often used by learners to practice network programming in C++ with high concurrency models. ...

Switcher is a proxy server that accepts connections and proxies based on which protocol is detected. Switcher is heavily influenced by sslh. It started out as a learning exercise to discover how sslh worked and attempt an implementation in Go. The result is useful in its own right through use of Go's interfaces for protocol matching (making adding new protocols trivial), and lightweight goroutines (instead of forking, which is more CPU intensive under load).

XappServer is an application server designed to make it easier for web application development in C++. If you are familiar with Java servlets, glassfish, and/or jboss, the learning curve in developing on XappServer should be shorter.

...An 'official' record never diverts to the learning page.

Igino Corona and Davide Ariu and Giorgio Giacinto, "HMM-Web: a framework for the detection of attacks against Web applications", IEEE ICC 2009. Anomaly detection of server-side web attacks based on Hidden Markov Models (unsupervised learning).

Train and Validate QSAR models using state-of-the-art learning algorithms like SVM. Build classification and regression and use them to make predictions. The whole project is intended to serve the need for toxicological predictions.

LOGames is a project that aims e-learning game development based on Learning Object Technology. LOGames are built up an existents patterns , like SCORM (Shared Content Object Model) and DCC (Digital Content Component), using InfraBig infrastructure.

A webserver written entirely in Java. Useful for learning about servers and daemons. The whole package comes in at under 20Kbytes compressed.

Easy to understand, well documented common internet servers in java, targeted for those who may not be ready to comprehend full production-quality concepts and code.