Search Results for "tiny-core-plus" - Page 3
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Showing 77 open source projects for "tiny-core-plus"
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MIC* comes with a new vision of multi-agent system engineering: The multi-agent system is devided explicitly into two dimensions: the deployment environment and the autonomous agents. MIC* is an algebraic model of a deployment environment (container of a
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This is a prolog-like programming language based on the fuzzy logic. It includes the class-libraries for fuzzy logic, probability theory and method of resolution, all made in C++. Java releases possible in the future.
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Can calculate mathematical expression. It have a module system witch make it very easy to add own functions. Other features are a graph painter and a tiny programming language designed too make it easy too write small mathematical tools.
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MATHLIB3D: MATHLIB3D is a Vector/Matrix/Quaternion/Plane/Polynomial C++/Java library targeting either precision or fast mathematical operations executed on vectors, matrices and quaternions.
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TM4 is a suite of applications for managing and analyzing microarray data. TM4 provides data storage and tracking, image analysis, normalization, data filtering, clustering and statistical analysis capabilities. Includes MADAM, Spotfinder, MIDAS, and MeV.
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Interval Analysis is a collection of interval analysis tools, allowing for robust root-finding and tracking of bounds of numerical error due to uncertain inputs and floating-point error.
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Computational modelling is a interdisciplinary field spanning many techniques and programming languages. AgenTools is a project dedicated to establishing increased modularity in scientific computing packages and a portal linking to other existing project
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HmmSDK is a hidden Markov model (HMM) software development kit written in Java. It consists of core library of HMM functions (Forward-backward, Viterbi, and Baum-Welch algorithms) and toolkits for application development.
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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RandService is a Web Service which supplies pseudo- or true- random numbers through JAX-RPC API. Any random number generators can be used behind this Web Service.
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The Open Source Space Flight Dynamics (OSSFD) project is intended to provide the community with an open source solution to space flight dynamics.
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Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.
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LOOP (Language Object Oriented Parallel) is a visual programming language project dedicated to creating a full suite of components for simulation of hierarchical dynamical systems in discrete time.
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GNU Autoconf, Automake and Libtool scripts and makefiles for the Open CASCADE solid modeler. http://www.opencascade.org
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Our goal is to surpass the performance of the Matching Pursuit and Best Basis algorithms and provide progressive time-frequency analysis.
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A .Net Library that lets you make full use of multi-core and multiprocessor computers. It is very efficient, and easily integrated into existing applications. It is modeled after the Parallel FX usage model, and is faster than the PFX too.
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Numerikus is an attempt to build a set of numerical libraries written in C/C++, Fortran, Java and C# for single processor and multi-core processors. It wil have from basic functions to Linear Algebra solvers and ODE's and PDE's methods.
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This projects aims at providing java-bindings to the CUDA numeric environment. CUDA is an extension to the C/C++ programming language by NVIDIA.
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VectTens
A library for handling vectors, tensors, and more.
VectTens is an object-oriented numerical library designed to manipulate vectors, tensors, and other mathematical quantities in a simple and efficient manner. -
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This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
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Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other
