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Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover
Cougar Squared is a new Java library for machinelearning and data mining research, supporting research needs of the community. It is written by researchers for researchers. It extends the WEKA and YALE machinelearning frameworks.
Mantra Machine is an emulation of the Buddha Machine hardware, a small box that endlessly plays ambient loops. In this release you will find the original loops of the hardware plus an exclusive set of sounds. Two versions: Java Edition and Linux Qt.
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Feating constructs a classification ensemble comprising a set of local models. It is effective at reducing the error of both stable and unstable learners, including SVM. For details see the paper at http://dx.doi.org/10.1007/s10994-010-5224-5.
Leark is a Data Mining library developed in C#.NET. It contains several methods for ranking web documents described with a set of normalized features, and a feature selection algorithm. The methods are based on perceptron and clustering.
This is a software to access and download your files on a remote sytem to your own machine (over the internet) with Java for cross-compatibility. Works perfectly to browse and copy files, directories on a computer behind a proxy (eg: at your office).
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RoboBeans is an interface to the "Robocup 2D Soccer Simulation Server" that allows developers to write Robocup teams\agents concentrating on behaviour and AI without having to worry about syntax of communication or network issues.
Torch5 provides a matlab-like environment for state-of-the-art machinelearning algorithms. It is easy to use and provides a very efficient implementation, thanks to a easy and fast scripting language (Lua) and a underlying C++ implementation.
The TM Simulator is a Java/JavaFX Application which provides a graphical user interface to configure and simulate Turing Machines. This is a student project from the technical university of Vienna, to support presentations of Turing Machines.
The data complexity library, DCoL, is a machinelearning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and can be run on multiple platforms.
SURIKATA (Syntactic Universal Reasoning for Inducing Kolmogorov Abstract Theories Automatically) is a system for searching large spaces of artifacts and inducing algorithms for generating similar artifacts.
The aim of ALIVE is to develop new approaches to the engineering of flexible, adaptable distributed service-oriented systems based on the adaptation of social coordination and organisation mechanisms.
Lightweight multi-platform virtual machine for Zeek Execution Enviroment (ZEE). The ZEE provide a system for developing and run applications in a cross-platform environment.
This project contains the source code and data for my paper "Transliterated Arabic Name Identification Using MachineLearning and Bayesian Inferencing". Code compiles and runs under MS .NET 4.0 -or- Mono 2.8.1.
The Python Computer Vision Framework is an opened project deisgned for all those interested in computer vision. It aims at making computer vision more easy and structured and matlab-free.
It may also be used for other artistic and scientific areas.
Content Addressable Memory, Multi-Variate Statistics, Data Mining Includes analyzing datasets, extracting patterns, creating empirical expert system. Computes joint probabilities and implements a "belief" as the solution of an equilibrium equation
Pika is a fast, lightweight, dynamic multi-paradigm programming language. Its list of features includes: First Class Functions, Closures, Lexical Scoping, Optimized Tail Calls, Classes, Cooperative threads, Packages, Properties and Exceptions.
Parallel Reinforcement Evolutionary Artificial Neural Networks (PREANN) is a framework of flexible multi-layer ANN's with reinforcement learning based on genetic algorithms and a parallel implementation (using XMM registers and NVIDIA's CUDA).
Foad is an open source software which receive an EKG Signal from scanner, WFDB database or heart sensors. Finding patient disease started by taking Fourier transform (FFT) from input signal and extract a single cycle. Based on some heuristic algorithm the most important feature like P , Q , R , S , T captured and feed to trained neural network. and so the final decision made by CNN library. As mentioned before this software also capable do some image processing on scanned paper to lower...