Search Results for "network security toolkit"

...PyOD has multiple neural network-based models, e.g., AutoEncoders, which are implemented in both PyTorch and Tensorflow. PyOD contains multiple models that also exist in scikit-learn. It is possible to train and predict with a large number of detection models in PyOD by leveraging SUOD framework. A benchmark is supplied for select algorithms to provide an overview of the implemented models.

The Modular toolkit for Data Processing (MDP) is a Python data processing framework. From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures. From the scientific developer's perspective, MDP is a modular framework, which can easily be expanded.

The toolkit glpk supports methods for mixed integer linear programming (MILP). These methods solve Capital Budgeting Problems (CBP). Unfortunately, glpk does not support any multithreading and there is no feature to distribute problems via network connections. Today, this is a pitiable sight, because modern computer systems are coupled by networks and support multi threading.

libmng -THE reference library for reading, displaying, writing and examining Multiple-Image Network Graphics. MNG is the animation extension to the popular PNG image-format.

The purpose of the project is summarising effort from a number of analytic libraries, adding interactive web-based user interface and making a free open source solution for risk analytics and stress testing. Feb 8, 2012 Paul Glasserman's Importance Sampling and Tail Approximations as well as plain Monte Carlo have been implemented for for the widely used normal copula model of portfolio credit risk. The package includes source code, examples, spreadsheet with results and references to the papers.

Syntactic is a simple C++ library for constructing general Neural networks. For now the library supports creation of multi layered networks for the Feedforward Backpropagation algorithm as well as Time Series Networks. More will be implemented soon.

* EpLibrary project in this site is not maintained anymore. * The project has been moved to https://github.com/juhgiyo/EpLibrary EpLibrary is a utility library for Visual C++. The features includes: - Math Framework - Enhanced Binary Search - Sort - Stream Framework - Container Framework - Simple Debugger Framework - FileSystem Framework - Other Frameworks - Server/Client Template Framework - System Framework - Thread System For detailed documentation,...

An encryption library written in C# on .net 2.0, includes SHA1 and MD5 encryption atm. Also includes usercontrols for Visual Studio. Readme can me downloaded separately in the files section.

Secure P2P Instant Messenger running on .NET Framework 2.0. Uses server to store user information (user name, password, email address, friends list, log in state, IP address) in encrypted form. Uses custom designed symmetric encryption algorithm.

PHPNN Is an open source, GPL licensed, PHP class library for the easy creation and manipulation of Neural Network based artificial intelligence. This library is intended for use in experimentation, games, quality control, or any other purpose.

This project uses massively parallel Graphics Processing Units(GPU) for neural network(Backpropagation) purposes.

Robot Warfare is a real-time strategy game that gives the user an opportunity to manage and program a team of battling robots that autonomously face opposing teams in a network-enabled environment.

Flash/PHP adaptation of the XTEA encryption algorithm. Allows encryption/decryption of sensitive data using 128-bit key. May be used for network data (HTTP) or offline for implementations like secure CD-ROM projects.