Search Results for "parallel search" - Page 2

Showing 71 open source projects for "parallel search"

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  • 1
    Ominis-Osint

    Ominis-Osint

    Ominis OSINT: Secure Web-history Search

    Ominis OSINT Secure Web-history Search stands as a premier solution for digital reconnaissance, offering unparalleled capabilities in gathering, analyzing, and interpreting publicly available information sourced from diverse online platforms. With its comprehensive suite of features, Ominis equips users to navigate through the expansive digital landscape with precision and efficiency, enabling the extraction of valuable insights from a myriad of sources.
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  • 2
    Custom-Puppy-Linux-For-Scripts

    Custom-Puppy-Linux-For-Scripts

    A Custom Puppy Linux Live CD For Creating & Running Shell Scripts

    This Live CD is created for the purpose of writing & running shell scripts on various computers. This is a 64-bit system for better performance and features. Please see the Images of its Desktop below. Pressing F4 from any Folder on the File Manager will launch the Terminal and will set your working directory automatically. After Downloading, Either Burn this .iso image to a DVD and boot from it on any computer OR install it to a USB drive with the multiboot-usb software, available here...
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  • 3
    Isar Database

    Isar Database

    Extremely fast, easy to use, and fully async NoSQL database

    ...The sky is the limit. Composite & multi-entry indexes, query modifiers, JSON support etc. Asynchronous, parallel query operations & multi-isolate support by default. Open source. Everything is open source and free forever!
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  • 4
    Fairseq

    Fairseq

    Facebook AI Research Sequence-to-Sequence Toolkit written in Python

    Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the...
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  • 5
    HiPlot

    HiPlot

    HiPlot makes understanding high dimensional data easy

    HiPlot is an interactive visualization toolkit for exploring high-dimensional experiments, especially those produced during hyperparameter search or ablation studies. Its core view is a parallel-coordinates plot that lets you brush, filter, and highlight runs to spot trade-offs, correlations, and Pareto fronts at a glance. You can load results from simple CSV/JSON logs or programmatically push “experiments” with typed fields, metrics, and tags. The UI supports dynamic filtering, color mapping, and tooltip details so you can iteratively narrow to the most promising configurations. ...
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  • 6
    igel

    igel

    Machine learning tool that allows you to train and test models

    A delightful machine learning tool that allows you to train/fit, test, and use models without writing code. The goal of the project is to provide machine learning for everyone, both technical and non-technical users. I sometimes needed a tool sometimes, which I could use to fast create a machine learning prototype. Whether to build some proof of concept, create a fast draft model to prove a point or use auto ML. I find myself often stuck writing boilerplate code and thinking too much about...
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  • 7
    VITS

    VITS

    Conditional Variational Autoencoder with Adversarial Learning

    ...Unlike traditional two-stage systems that separately train an acoustic model and a vocoder, VITS trains an end-to-end model that maps text directly to waveform using a conditional variational autoencoder combined with normalizing flows and adversarial training. This architecture enables parallel generation (fast inference) while achieving speech quality that rivals or surpasses many two-stage systems. The repository provides training and inference pipelines for common datasets such as LJ Speech (single-speaker) and VCTK (multi-speaker), including filelists, configs, and preprocessing scripts. It also includes monotonic alignment search code and g2p preprocessing, which are crucial components for aligning text and speech in an end-to-end setup.
    Downloads: 1 This Week
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  • 8
    RadonDB

    RadonDB

    RadonDB is an open source, cloud-native MySQL database

    RadonDB is a cloud-native database based on MySQL, and architected in fully distributed cluster that enable unlimited scalability (scale-out), capacity and performance. It supported distributed transaction that ensure high data consistency, and leveraged MySQL as storage engine for trusted data reliability. RadonDB is compatible with MySQL protocol, and sup-porting automatic table sharding as well as batch of automation feature for simplifying the maintenance and operation workflow. RadonDB...
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  • 9

    Gap-SPH

    Basic SPH solver for 3D subsonic fluid flow models

    ...Viscosity is updated every half-time step to account for nonlinear behavior of one of the phases and all solid boundaries are modeled using the virtual particle method. A basic all-pair search algorithm is used to determine pair lists. The purpose of this self-contained solver is to further develop the code to optimize it to the case of river bedload dynamics. Parallel programming directives have been added where applicable. No GUI for pre- or post- processing is provided yet.
    Downloads: 1 This Week
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  • 10
    Tdarr V2

    Tdarr V2

    Distributed transcode automation using FFmpeg/HandBrake

    Tdarr is a distributed media transcoding and automation system designed to manage and optimize large audio and video libraries across multiple machines. It operates through a central server and multiple worker nodes that process files in parallel, leveraging both CPU and GPU resources for efficient transcoding. The system uses FFmpeg and HandBrake to convert media files according to user-defined rules, such as codec standardization, bitrate optimization, or format compatibility. Tdarr also...
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  • 11

    prll

    A utility for parallelizing the execution of shell functions.

    PRLL HAS MOVED TO GITHUB https://github.com/exzombie/prll A utility for parallelizing the execution of shell functions. Focuses on convenience in interactive use, but is just as usable in shell scripts. Put your multicore to good use, or combine prll with ssh to create an instant cluster.
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  • 12

    Xoptfoil

    Airfoil optimization with Xfoil

    Airfoil optimization using the highly-regarded Xfoil engine for aerodynamic calculations. Starting with a seed airfoil, Xoptfoil uses particle swarm, genetic algorithm and direct search methodologies to perturb the geometry and maximize performance. The user selects a number of operating points over which to optimize, desired constraints, and the optimizer does the rest.
    Downloads: 2 This Week
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  • 13

    ParBiBit

    Parallel tool to search biclusters on binary datasets

    ParBiBit is a parallel tool to accelerate the search of biclusters on binary datasets, especially useful for gene expression data. This tool receives as input the expression values of n genes and m samples in a file with ARFF extension and returns a file with the biclustering information.
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  • 14

    popt4jlib

    Parallel Optimization Library for Java

    popt4jlib is an open-source parallel optimization library for the Java programming language supporting both shared memory and distributed message passing models. Implements a number of meta-heuristic algorithms for Non-Linear Programming, including Genetic Algorithms, Differential Evolution, Evolutionary Algorithms, Simulated Annealing, Particle Swarm Optimization, Firefly Algorithm, Monte-Carlo Search, Local Search algorithms, Gradient-Descent-based algorithms, as well as some well-known network flow and other graph algorithms. ...
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  • 15

    CUBiBit

    Tool to search binary biclusters on CUDA-enabled GPUs

    CUBiBit is a parallel tool to accelerate the search of biclusters on binary datasets using CUDA-enabled GPUs. This data mining procedure is especially useful for gene expression data. This tool receives as input a file with ARFF extension that contais the binary values of m attributes and n samples and returns a file with the biclustering information.
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  • 16
    Kue

    Kue

    Kue is a priority job queue backed by redis, built for node.js

    Kue is a feature rich priority job queue for node.js backed by redis. A key feature of Kue is its clean user-interface for viewing and managing queued, active, failed, and completed jobs. At any point in the job's life-time you can view verbose details, including the job's arbitrary data, creation, update, failure, and completion times. Jobs may incrementally update their progress, providing vital feedback for long-running tasks. Job-specific logging allows you to see how your job's are...
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  • 17
    Catberry

    Catberry

    Catberry is an isomorphic framework

    ...The entire architecture of the framework is built using the Service Locator pattern, which helps to manage module dependencies and create plugins, and Flux, for the data layer. Search crawler receives a full page from the server. The whole state of the application is restored from URL. Server-side progressive rendering based on node.js streams and parallel rendering of components in a browser. The framework is well-tested (code coverage is about 90%) and it is already used in production.
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  • 18
    optpack

    optpack

    FE simulation based automatic global optimisation in modern Fortran

    ...The initial application is for FE simulation of elasto-plastic buckling of steel rods aimed at tuning the hardening model. Unix shell scripts are used extensively. High concurrency is achieved with parallel multi-start global search and with parallel MPI FE. Powell's BOBYQA or LINCOA are used (not included in this package). Automatic mesh generation of 3D cylinders is provided + automatic boundary conditions, all via Fortran and shell scripting.
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  • 19

    PhyloPart

    automated partition of phylogenetic trees

    Understanding the determinants of virus transmission is a fundamental step for effective design of screening and intervention strategies to control viral epidemics. Phylogenetic analysis can be a valid approach for the identification of transmission chains, and very-large data sets can be analysed through parallel computation. Here we propose and validate a new methodology for the partition of large-scale phylogenies and the inference of transmission clusters. This approach, on the basis of a depth-first search algorithm, conjugates the evaluation of node reliability, tree topology and patristic distance analysis.
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  • 20

    MSRE-HTPrimer

    A high-throughput primer design tool for MSRE-assay in epigenetics

    ...MSRE-HTPrimer provides significant improvements over existing solutions with following unique features: 1) visualization of primer pairs in UCSC genome browser, 2) search each resulting primer pair in UCSC In-Silico PCR database, 3) flexible primer selection and filtering based on custom quality matrix and 4) parallel primer design for several target sequences. The pipeline is equipped with multiprocessing capability and uses custom inputs and parameters to design specific primers.
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  • 21

    SWAPHI: Smith-Waterman on Intel Xeon Phi

    The first protein sequence database search on shared-host Xeon Phis

    The first parallel algorithm to accelerate the Smith-Waterman protein database search on shared-host multiple Intel Xeon Phi coprocessors. By searching against the UniProtKB/TrEMBL database, SWAPHI achieves a performance of up to 58.8 billion cell updates per second (GCUPS) on a single Xeon Phi and up to 228.4 GCUPS on four Xeon Phis.
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  • 22

    PRADA

    PRADA : Pipeline for RNA-Sequencing Data Analysis

    ...PRADA currently supports 7 modules to process and identify abnormalities from RNAseq data: preprocess: Generates aligned and recalibrated BAM files. expression: Generates gene expression (RPKM) and quality metrics. fusion: Identifies candidate gene fusions. guess-ft: Supervised search for fusion transcripts. guess-if: Supervised search for intragenic fusions. homology: Calculates homology between given two genes. frame: Predicts functional consequence of fusion transcript
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  • 23
    Scripture

    Scripture

    Biblical Data-Research Tool

    the real is finite; the irreal is infinite. The unreal is bigger than infinite. real is the physical; irreal is the possible. Unreal is the incoherent, useless, meaningless, insane.. all religions offend me, when someone tries to sell me their delusions. when someone say i can't have morals without religion. when someone doesn't hold others to their level just because of a iron age book. when they refuse to understand why faith is harmful. when they kill and hate for their imagenary gods....
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  • 24

    Hierarchical cluster engine HCE

    Hierarchical Cluster Engine project

    The main idea of this project – to implement the solution that can be used to: construct custom network mesh or distributed network cluster structure with several relations types between nodes, formalize the data flow processing goes from upper node level central source point to down nodes and backward, formalize the management requests handling from multiple source points, support native reducing of multiple nodes results (aggregation, duplicates elimination, sorting and so on), internally support powerful full-text search engine and data storage, provide transactions-less and transactional requests processing, support flexible run-time changes of cluster infrastructure, have many languages bindings for client-side integration APIs in one product build on C++ language... Also, HCE includes the highlighter application. This is utility to get fast parallel multi-algorithmic textual patterns highlighting. ...
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  • 25

    Fast Matrix for Java

    General purpose matrix utilities for Java in Parallel Computing

    Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors.
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