Search Results for "parallel" - Page 20
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Showing 1344 open source projects for "parallel"
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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. ... -
Process Street | Compliance Operations PlatformBring compliance and operations under one roof with an AI agent that automates workflows, policies that enforce rules, and a platform that delivers results.
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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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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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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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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. -
Toast POS for RestaurantsRestaurant success isn’t built on one thing — it’s about a thousand little things coming together, every shift, every service. From FOH to BOH and every moment in between, manage it all with the POS that knows restaurants.
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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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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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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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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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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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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.
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Remme PKI (d) Protocol
Blockchain-based distributed PKI protocol
...Some of the groundbreaking features include: - Free Rate Limited Transactions - Low Latency Block confirmation (0.5 seconds) - Attribute-based identity and access control - Designed for Sparse Header Light Client Validation - Time Delay Security - Hierarchical Role Based Permissions - Support for Biometric Hardware Secured Keys (e.g. Apple Secure Enclave) - Designed for Parallel Execution of Context Free Validation Logic - Designed for Inter Blockchain Communication Read the Tech paper here: https://github.com/Remmeauth/Documentation/blob/master/RemmeProtocolTechPaper.md -
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Quasar
Fibers, channels and actors for the JVM
Quasar is a library that provides high-performance lightweight threads, Go-like channels, Erlang-like actors, and other asynchronous programming tools for Java and Kotlin. Quasar is developed by Parallel Universe and released as free software, dual-licensed under the Eclipse Public License and the GNU Lesser General Public License. Quasar fibers rely on bytecode instrumentation. This can be done at classloading time via a Java Agent, or at compilation time with an Ant task. Quasar’s lightweight thread implementation relies on bytecode instrumentation. ... -
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FastFlow: programming multi-core
Pattern-based multi/many-core parallel programming framework
FastFlow is a C/C++ programming framework supporting the development of pattern-based parallel programs on multi/many-core, GPUs and distributed platforms. FastFlow run-time is built upon non-blocking threads and lock-free queues. Thanks to its very efficient CAS-free communication/synchronization support (e.g. few clock cycles core-to-core latency), FastFlow effectively supports the exploitation of fine grain parallelism, e.g. parallel codes managing very high frequency streams on commodity multi-core. ... -
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Evolution Strategies Starter
Code for the paper "Evolution Strategies.."
evolution-strategies-starter is an archived OpenAI research project that provides a distributed implementation of the algorithm described in the paper “Evolution Strategies as a Scalable Alternative to Reinforcement Learning” by Tim Salimans, Jonathan Ho, Xi Chen, and Ilya Sutskever. The repository demonstrates how to scale Evolution Strategies (ES) for reinforcement learning tasks using a master-worker architecture, where the master node broadcasts parameters to multiple workers, and the... -
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Skylark
Skylark in Go: the Skylark configuration language
...Because it runs deterministically and isolates execution from system state, it’s well-suited for reproducible build systems and other sandboxed environments. The Go implementation focuses on parallel scalability and easy integration into Go-based projects. -
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Virtual Laboratory Environment
A multi-modeling and simulation environment to study complex systems
VLE is a multi-modeling and simulation environment to study complex dynamic systems. VLE is based on the discrete event specification DEVS. and it implements the DSDE formalism (A merge of Dynamic Structure DEVS, DSDEVS, with Parallel DEVS, PDEVS). VLE provides a complete set of C++ libraries, called VFL (VLE Foundation Libraries), to develop DEVS models, to gets results of simulations, to launch simulation on cluster. The models can be developed with the DEVS formalism or with the classical mathematical formalism: Ordinary Differential Equation with Euler, Range-Kutta or QSS integrator, Finite state automaton (FDDEVS, UML State chart, Hybrid Petri net). ... -
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react-native-fcm
react native module for firebase cloud messaging
React native module for firebase cloud messaging and local notification. react-native-firebase now can do what react-native-fcm can so it is a waste of effort to build the same thing in parallel. To allow android to respond to click_action, you need to define Activities and filter on specific intent. Since all javascript is running in MainActivity, you can have MainActivity to handle actions. If you are using RN < 0.30.0 and react-native-fcm < 1.0.16, pass intent into package, edit MainActivity.java. Import libraries, add Capabilities (background running and push notification), upload APNS and etc. ... -
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MarDRe
MapReduce-based tool to remove duplicate DNA reads
MarDRe is a de novo MapReduce-based parallel tool to remove duplicate and near-duplicate DNA reads through the clustering of single-end and paired-end sequences from FASTQ/FASTA datasets. This tool allows bioinformatics to avoid the analysis of not necessary reads, reducing the time of subsequent procedures with the dataset. MarDRe is the Big Data counterpart of ParDRe (link above), which employs HPC technologies (i.e., hybrid MPI/multithreading) to reduce runtime on multicore systems. ... -
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HSRA
Hadoop spliced read aligner for RNA-seq data
HSRA is a MapReduce-based parallel tool for mapping reads from RNA sequencing (RNA-seq) experiments. RNA-seq analyses typically begin by mapping reads to a reference genome in order to determine the location from which the reads were originated, which is a very time-consuming step. This tool allows bioinformatics researchers to efficiently distribute their mapping tasks over the nodes of a cluster by combining a fast multithreaded spliced aligner (HISAT2) with Apache Hadoop, which is a distributed computing framework for scalable Big Data processing. ...
