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Create and run cloud-based virtual machines.
Secure and customizable compute service that lets you create and run virtual machines.
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
Geom4J is a computational geometry library for Java. It contains implementation of the most important computational geometry data structures and algorithms coded in pure Java, designed for ease of use and optimized for performance.
A generic implementation of STL containers and some STL algorithms. The main intent is no make this STL implementation to work with any kind of pointers defined by allocator classes, e.g. memory_mgr::offset_ptr.
SPLITNEURON is a completely new approach to large-scale, biologically plausible, neural-network simulation library based on data structures and methods directly coded into database and conceived to explicitly share load on multiple machines.
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ExtraDix is a sorting algorithm based on Radixsort. It is faster than Quicksort, stable, realized in C and can sort by any basic data type. Testing was done with 1 million data records sorting char, short, int, long, float, double and strings.
clibutils is collection of common data structures , This library supports any type, Following are the datastructures currently implemented.
1. Dynamic Array
2. Single Linked List
3. Heap
4. Map
4. Set.
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Modules for developing, configuring and running a computation based on function blocks entirely in Python. Function block based computation is a data, event and state driven approach to data processing.
My personal computing suite provides some programs I developed as a hobbyist and currently include a lambda calculus interpreter and a calculator which solves arithmetic expressions; both are written in C++.
Stochastic discrete event system analysis and verification are essential in order to ensure reliability in such systems. However, models that cannot be constructed with an hand-made process need to be learned. Thus, the SDES toolbox proposes an automated solution that is embedded in Matlab to learning and analisis generalized semi-Markov processes.
This is a python implementation that handles floating points correctly,there are still some bugs but I'm working on it . The point was to work around some stuff that made no sense for floats,like 0.1+0.2 == 0.3 is false.
ProViz is a program visualization framework for Java. It is built as a plugin to the Eclipse IDE. (We are getting close to publishing resources and making this project distributable. Stay tuned!) A video demo: http://www.youtube.com/watch?v=BsoK1n-OM
swIMP (swig-based Interfaces for Mathematical Programming) provides Java wrappers for solvers written in C or C++. The current focus is on accessing OSI-compatible linear programming (LP) solvers from the Coin-OR-project (e.g. Clp, GLPK, MOSEK, CPLEX).
http://www.open-source-soft.narod.ru/VoiceDetector.7z It voice detector class,for detecting human speech, anti noise, anti tones, standard C++, completely cross-platform by recompilation.
RobGP is a genetic programming system written from the ground up in C++. It's primary goals are efficiency, ease of use, and extensibility. It's distinguishing feature is that it has a modified version of Koza's architecture altering operations.
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
NOTE: Project has been delayed due to other tasks.
Genetic Algorithms General Solver (GAGENES) is a C++ implementation of the genetic algorithm concept.
SWARD (System for Weapon Allocation Research and Development) is a testbed for benchmarking weapon allocation algorithms against each other. It is intended for researchers within operations research, information fusion, and related areas.