Search Results for "using" - Page 4
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Showing 121 open source projects for "using"
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Retool your internal operationsBuild internal software that meets enterprise security standards without waiting on engineering resources. Retool connects to your databases, APIs, and data sources while maintaining the permissions and controls you need. Create custom dashboards, admin tools, and workflows from natural language prompts—all deployed in your cloud with security baked in. Stop duct-taping operations together, start building in Retool.
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Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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An R package implementation of a consensus clustering methodology. This package allows users to perform re-sampling statistics based clustering using multiple clustering algorithms to assess the robustness of both clusters and members of clusters.
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Fast search using a standard SQL on Oracle or PostgreSQL database. The package includes the database creator, loader and web application. It supports SMILES and SMARTS substructure searches, similarity search, stereochemistry.
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LSGTL means LLX’s Static Graph Template Library which is a light-weighted header-only template library developed mainly for static graph analysis. LSGTL is expected to be used in laboratories for research purposes mostly.
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Classroom allocation using Genetic Algorithms and restricted mutation. Developed by AIGroup: Pablo Cababie, Facundo Cancelo, Alvaro Zweig y Gabriel Barrera
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Find Hidden Risks in Windows Task SchedulerWindows Task Scheduler might be hiding critical failures. Download the free JAMS diagnostic tool to uncover problems before they impact production—get a color-coded risk report with clear remediation steps in minutes.
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This project is using genetics algorithms to complete scheduling tasks such as timetables for elementary / high schools etc. Currently NetBeans project with no GUI and simple HTML export.
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The project is created with an aim to provide - design patterns implemented in C++ using boost. Following are the primary requirements 1) Generic Header Only Library 2) Using Boost Libraries, Coding Style, Philosophy 3) Standard C++
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Fuzzy numbers and basic fuzzy arithmetics (+, -, *, /, 1/x) implementation written in Java. Should be used as a library, but it also has a GUI which demonstrates its capabilities (using SWT widgets).
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An implementation of Bruhn et al.'s fast variational optical flow algorithm using the OpenCV image processing library. The code calculates dense flow fields with a user-specified level of precision.
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Tpl makes it easy to serialize your C data using just a handful of API functions. The data is stored in its native binary form for maximum efficiency. C, Perl and XML supported. Data is portable across CPU types and OS's from Unix to Mac to Windows.
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Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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A collection of Concurrent and Highly Scalable Utilities. These are intended as direct replacements for the java.util.* or java.util.concurrent.* collections but with better performance when many CPUs are using the collection concurrently.
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The Java Boolean Expression Library (JBEL) enhances the Java Collections API by implementing on-the-fly sorting, filtering and reasoning capabilities including, select(), collect(), reject(), detect(), doForEach() using functional programming techniques.
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Alternative approach to minimum redundancy coding (fixed-length) without using tree data structures. The main advantages are simplicity and flexibility.
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This is a fully STL-compliant C++ map/set/multimap/multiset implementation for g++ using an AVL tree instead of a Red-Black tree (that is present in current libstdc++).
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Application provide indexing and searching capability using Inverted File & TVSM methods. Also provide native integration with UNIX based indexing service also GoogleBase & YouTube search via Atom feeds.
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darknocK detects edges in images. It is using Artificial Neural Networks to enchance the results of standard algorithms.
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STLshm provides an C++ STL Allocator implementation for creating and using STL containers (and any other allocator aware types) in shared memory regions. It supports multiple shared region implementations.
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The library currently consists of an implementation of collision detection of static/moving ellipsoids that exploits frame-coherence using separating planes. Please visit http://www.cs.hku.hk/GraphicsGroup/cd.html for paper references.
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`ABL' is a basic flexible abstract list library defined using C preprocessor. It allows you to define linked lists of arbitrary types very easily. You also can use it as stacks and queues. You can easily define complicated types like list of lists etc.
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OW.NET -- 1-Wire API port from Java (and J#) to C#. Use the Dallas 1-Wire and iButton chips with standard C# using a serial adapter (also CF.net) or the TMEX drivers on the Windows platform. No J# distribution installation required.
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Locality Sensitive Hashing is an improved indexing method for high dimensional data. lshtools provides indexing with LSH and an intelligent non supervised subsampling strategy using this indexing method.
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Open Linux TSPL is a multiplatform (cross-platform) free software suite for software and web development. Open Linux TSPL helps developers create applications for Win32, Linux, Unix and Mac using one codebase. [Will be released: September, 2008]
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PyPlayground is an environment for developing algorithms involving movement in a space of up to three dimensions using Python.
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A portable C++ library of multi-threaded STL algorithms (transform, accumulate...) using standard containers and iostreams. Thread, mutex, spinlock are templatized. Close to Intel Threading Building Blocks, HPC++ or PSTL. Idea of A.Stepanov and M.Austen.
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Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.
