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Stop vibe-debugging.
Plug Claude into your app's actual errors.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
Software helping to build a SOA without depending on an ESB: Services look up each other in a registry and talk directly (no spaghetti: links are configured in registry). Management and monitoring is provided by clients and server stacks.
Clothes - sewing CAD for creation of models of clothes.
Based on the new concept of the automated designing of clothes with use of parametrical model. Creates a base design of model of clothes and allows to change it depending on necessity of updating.
NeuronDotNet is a neural network engine written in C#. It provides an interface for advanced AI programmers to design various types of artificial neural networks and use them.
this is a small JSP tag library which allows you to create PDF documents within your JSPs. All you need to do is add the jar file to your lib folder under WEB-INF and the tld file in a tld folder under WEB-INF and you are ready to use the tags.
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 tool allows to compute LOLIMOT models. LOLIMOT models are also called neuro-fuzzy models or fast neural network models. This tool can export the model into C, C++, Matlab.
The aim of GUINNEA (Graphical User Interfaced Neural Network Architecture) is to develop a comfortable and high-featured neural net simulator which is highly configurable and flexible. It will support many neural nets and visualization features for those
NNFpp (Neural Network Framework plus plus) is a C++ porting of the NNF library. The library is a complete and portable C++ class with specified functions for using neural networks.
NeuralJ is a free, open-source neural network library for Java applications. It is the purpose of this project to make the easiest, most flexible and reliable, neural network platform available.
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Lightweight backpropagation neural network in C++. The project provides a class implementing a feedforward neural network, and a class for easily train it. It is highly customizable to manage your problem and comes with a simple graphical interface.
Lightweight backpropagation neural network in C. Intended for programs that need a simple neural network and do not want needlessly complex neural network libraries. Includes example application that trains a network to recognize handwritten digits.
Do you want a neural network OO class?
With documentation?
Do not go further... You found it!
you have here a complete library of different neural network in an OO encapsulation.
Starting from adaline, back propagation, Kohonen
TIKAPP is becoming a collection of tools for simulation of neural networks. The first available part is an ANSI-C++ library with support for backpropation networks.
nn-utility is a neural network library for C++ and Java. Its aim is to simplify the tedious programming of neural networks, while allowing programmers to have maximum flexibility in terms of defining functions and network topology.
Cluster Networks are a new style of neural simulation / neural network modeling, that models networks of neural populations ("clusters") that transform and transmit information using precisely-timed, graded bursts ("pulses" or "volleys") of firing.
PDFLib-free PDF creation using PHP. It has interface compatible with php pdf creator (pdf-php library).
Implements most of Adobe recommended features like PageTrees, Outlines, and so on.
Neural network library for C++ applications in Windows and Linux.
Multi-Layer perceptron, radial-basis function networks and Hopfield networks are supported.
You can interface this with Matlab's Neural Network Toolbox using the Matlab Extensions Pack
The subject of this project is development of the Intrusion Detection System (IDS) with Artificial Neural Network (ANN). This model will allow the implementation of a system capable to analyze and to identify possible intrusions, based on the method of an
A java based neural network framework. The Auratus network is built around an XML messaging system, allowing for a complete MVC design. Additionally, Auratus networks are constructed and at the node/edge level, allowing for advanced topologies.
RooCARDS is a set of C++ classes written for the ROOT analysis framework
which interface ROOT to the Stuttgart Neural Network Simulator (SNNS). This
interface is based on a concept originally developed by Professor Yibin Pan
at the UW-Madison.
Provides millisecond-precision time mimicing C's time.h
Functionality is identical to that provided by C's time.h, except with millisecond precision.
Requires compiler support for int64_t and a standards-compliant runtime library.
Tested only on Windows (and with MinGW), but provides a POSIX version (using well-documented POSIX APIs).
This STL-like C++ library contains classes for long integer numbers processing with using of assembler functions as a backend. Lazy evaluation is also used for optimization. It also contains generic implementation of classical number-theory algorithms.