Search Results for "parallel" - Page 25
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Showing 1481 open source projects for "parallel"
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CUDA-JMI
Tool for feature selection using the JMI metric and multiple GPUs
CUDA-JMI is a parallel tool to accelerate the feature selection process using Joint Mutual Information as metric. This tool receives as input a file with ARFF, CVS or LIBSVM extensions that contais the values of m individuals and n features and returns a file with those features that provide more non-rendundant information. -
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Just-API
Test REST, GraphQL APIs
...Runs test suites in parallel/serial mode. Supports all widely used HTTP methods. Supports x-www-form-urlencoded requests, Multipart requests, File uploads. Built-in Response Validation Constructs(Headers, Cookies, Status code, JSON body, JSON schema) Custom Response validator functions. Supports running custom inline or module javascript sync/async functions. -
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YouTubeCrawler
Go-based automation utility that downloads YouTube videos
This tool is a Go-based automation utility that downloads YouTube videos and permanently embeds or “hard-codes” their subtitles (typically English) into MP4 output files. The workflow involves specifying one or more URLs (via a simple “url” text file in each folder) and the program uses youtube-dl to fetch video and subtitle, then ffmpeg to overlay the subtitles onto the video track. The architecture follows a command-pattern setup: tasks implement a common interface and are scheduled and... -
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parexec
Execute multiple commands in parallel and display output with ncurses
Usage: parexec NUMTHREADS where NUMTHREADS is the number of commands you want to execute in parallel The commands are read from stdin. Empty lines are ignored. Lines containing a single `-' instruct parexec to wait until all previous commands have finished before starting to execute further commands. When sending a SIGINT to parexec (usually done when you hit CTRL-C) it will wait for currently running processes, but if they are done parexec will exit ignoring all the following commands. ... -
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Flightplan
Run sequences of shell commands against local and remote hosts
A task automation and deployment tool for Node.js, allowing developers to execute remote SSH commands and manage deployments efficiently. -
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pipupgrade
Like yarn outdated/upgrade, but for pip
...By analyzing semantic versioning, pipupgrade categorizes updates into major, minor, and patch changes, allowing developers to make informed decisions about which packages to upgrade. Additionally, it supports updating requirements.txt and Pipfile files, ensuring that dependency specifications remain current. With features like parallel processing and dependency graph visualization, pipupgrade enhances the efficiency and clarity of Python package maintenance. -
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UnsupervisedMT
Phrase-Based & Neural Unsupervised Machine Translation
Unsupervised Machine Translation is a research repository that implements both phrase-based SMT and neural MT approaches for translation without parallel corpora. The neural component supports multiple architectures—seq2seq, biLSTM with attention, and Transformer—and allows extensive parameter sharing across languages to improve data efficiency. Training relies on denoising auto-encoding and back-translation, with on-the-fly, multithreaded generation of synthetic parallel data to continually refresh supervision signals. ... -
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IQM
Scientific Image and Signal Analysis in Java
IQM has moved to GitHub -
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dupost
Dual Porosity Stokes model implemented with FEniCS
A coupled dual porosity Stokes model implemented with FEniCS. References: 1. C. Douglas, X. Hu, B. Bai, X. He, M. Wei and J. Hou, "A Data Assimilation Enabled Model for Coupling Dual Porosity Flow with Free Flow," 2018 17th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES), Wuxi, 2018, pp. 304-307. doi: 10.1109/DCABES.2018.00085 2. Hu X., Douglas C.C. (2019) An Implementation of a Coupled Dual-Porosity-Stokes Model with... -
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MUSE
A library for Multilingual Unsupervised or Supervised word Embeddings
MUSE is a framework for learning multilingual word embeddings that live in a shared space, enabling bilingual lexicon induction, cross-lingual retrieval, and zero-shot transfer. It supports both supervised alignment with seed dictionaries and unsupervised alignment that starts without parallel data by using adversarial initialization followed by Procrustes refinement. The code can align pre-trained monolingual embeddings (such as fastText) across dozens of languages and provides standardized evaluation scripts and dictionaries. By mapping languages into a common vector space, MUSE makes it straightforward to build cross-lingual applications where resources are scarce for some languages. ... -
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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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fft
A fast distributed file transfer
fft is a distributed file transfer tool designed to accelerate large file movement by coordinating multiple relay nodes in parallel rather than depending on a single server’s bandwidth ceiling. Its architecture splits a transfer into concurrent “workers” that fetch or push chunks across multiple paths, improving throughput on high-latency or bandwidth-constrained links. The project is implemented in Go and exposes a straightforward command-line interface so operators can stand up senders, receivers, and relays with minimal ceremony. ... -
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Pipelines
An experimental programming language for data flow
Pipelines is a language and runtime for crafting massively parallel pipelines. Unlike other languages for defining data flow, the Pipeline language requires the implementation of components to be defined separately in the Python scripting language. This allows the details of implementations to be separated from the structure of the pipeline while providing access to thousands of active libraries for machine learning, data analysis, and processing. -
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Kalibr Allan
IMU Allan standard deviation charts
kalibr_allan is a utility repository that provides scripts and tools for calculating IMU noise parameters for use in Kalibr and other IMU filtering systems. While manufacturers typically provide “white noise” values in IMU datasheets, the bias instability and random walk parameters must be determined experimentally. This project enables users to compute those values using Allan variance analysis from recorded IMU data. The workflow involves recording IMU measurements with the device... -
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Galen Framework
Layout and functional testing framework for websites
...You can set up your tests to run in a cloud-like HeadSpin, LambdaTest, Sauce Labs, or BrowserStack so that you can even test your responsive websites on different mobile devices. Galen can run multiple tests in parallel which is also a nice time saver. Galen Framework is designed with responsiveness in mind. It is easy to set up a test for different browser sizes. Galen just opens a browser, resizes it to a defined size, and then tests the page according to specifications. -
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Scalable Distributed Deep-RL
A TensorFlow implementation of Scalable Distributed Deep-RL
...IMPALA introduced a new paradigm for efficiently training agents across large-scale environments by decoupling acting and learning processes. In this architecture, multiple actor processes interact with their environments in parallel to collect trajectories, which are then asynchronously sent to a centralized learner for policy updates. The learner uses importance weighting to correct for policy lag between actors and the learner, enabling stable off-policy training at scale. This design allows the system to scale efficiently to hundreds of environments and billions of frames while maintaining sample efficiency and stability. ... -
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Kotlin Coroutines for Retrofit
Kotlin Coroutines await() extension for Retrofit Call
This is a small library that provides the Kotlin Coroutines suspending extension Call.await() for Retrofit 2. Based on kotlinx.coroutines implementation. Kotlin 1.2 and experimental coroutines are not supported anymore, but you can use version 0.13.0 for old projects. -
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HelloNzb
The Binary Usenet Tool
With HelloNzb you can download (binary) files from Usenet servers via NZB index files. The software is based on Java and can thus run on many platforms (tested on Windows and Linux). Automatic archive verification via PAR2, automatic RAR archive extraction, built-in yEnc- and UU-decoding. Portable, no installation required. -
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FolioReaderKit
A Swift ePub reader and parser framework for iOS
...TTS - Text to Speech Support, parse epub cover image, RTL Support. Vertical or/and Horizontal scrolling, share Custom Image Quotes NEW, supports multiple instances at same time, like parallel reading. -
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wklaas
JMeasurement is a api for monitoring java production code
JMeasurement is a free and simple java api for monitoring runtime and usage (count, parallel activation, last activation) of user defined points in java production code. It is simple to use and extended. JMX is supported. Actual version is always in maven central. http://mvnrepository.com/artifact/net.sourceforge.jmeasurement2/JMeasurement -
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OpenDino
Open Source Java platform for Optimization, DoE, and Learning.
...Implemented Modules Evolutionary Algorithms: - CMA-ES - (1+1)-ES - Differential Evolution Deterministic optimization algorithm: - SIMPLEX Learning: - a simple Artificial Neural Net Optimization problems: - test functions - interface for executing other programs (solvers) - parallel execution of problems - distributed execution of problems via socket connection between computers Others: - data storage - data analyser and viewer -
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Tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed
...Uses TensorFlow in the efficient way with no extra overhead. On common CNNs, it runs training 1.2~5x faster than the equivalent Keras code. Your training can probably gets faster if written with Tensorpack. Scalable data-parallel multi-GPU / distributed training strategy is off-the-shelf to use. Squeeze the best data loading performance of Python with tensorpack.dataflow. Symbolic programming (e.g. tf.data) does not offer the data processing flexibility needed in research. Tensorpack squeezes the most performance out of pure Python with various auto parallelization strategies. ... -
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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. -
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ComplexEventExtraction
Expression pattern collection of Chinese compound event extraction
ComplexEventExtraction is a Chinese NLP project for identifying relationships between events expressed in compound sentences. It defines patterns for causal, conditional, sequential, contrastive, and parallel event structures. The system uses explicit connective words and phrase combinations to split text into linked event pairs. Extracted results can support event graphs that represent how situations develop, conflict, or depend on one another. The repository catalogs hundreds of linguistic patterns and demonstrates them on a large Chinese news corpus. ... -
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Our idea is to deploy a society of computational agents that collaborate in order to achieve the shared goal of decrypting a chunk of ciphertext or recovering a password from an hash by means of a dictionary-based attack.
