Search Results for "parallel" - Page 2
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63 projects for "parallel" with 2 filters applied:
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QtContribs - Harbour Qt Projects
New home to HbQt, HbIDE & HbDBU once Harbour SVN hosted contribs.
This is the repository to host all those Harbour's contrib libraries and applications which could not comply with strict Harbour project goals but had the potentiality to march into the future. The goal is to keep this repository parallel with Harbours contrib and use the same build system which Harbour uses. This way it will be possible easily to shift any library/application from here to Harbour or vice-verse. As I am totally ignorant of Harbour's build system, it will be appreciated if someone knowledgeable take over this responsibility, which might be one-time task. ... -
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WFEF .NET Bindings
.NET bindings for the WFEF project.
Home Browse Open Source WFIO .NET Bindings WFIO .NET Bindings .NET bindings for WFIO Status: Pre-Alpha Brought to you by: thylordroot Add a Review Downloads: 0 This Week Last Update: 2023-01-25 Browse Code Get Updates Share This Windows Mac Linux BSD ChromeOS Summary Reviews Support Code This subproject contains a parallel implementation effort for the .NET Virtual Machine. It allows for you to use the WFEF interface in your .NET applications and will include a translation layer so that you can talk to the native WFEF libraries. This subproject exists partially to overcome the 8.3 file naming convention that WFEF itself is limited to. -
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FairScale
PyTorch extensions for high performance and large scale training
FairScale is a collection of PyTorch performance and scaling primitives that pioneered many of the ideas now used for large-model training. It introduced Fully Sharded Data Parallel (FSDP) style techniques that shard model parameters, gradients, and optimizer states across ranks to fit bigger models into the same memory budget. The library also provides pipeline parallelism, activation checkpointing, mixed precision, optimizer state sharding (OSS), and auto-wrapping policies that reduce boilerplate in complex distributed setups. ... -
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Statistical Rethinking 2022
Statistical Rethinking course winter 2022
...The code emphasizes Bayesian data analysis using R, the rethinking package, and Stan models. It includes lecture code files, example datasets, and structured exercises that parallel the topics covered in the lectures (probability, regression, model comparison, Bayesian updating). The repo functions as a direct hands-on reference for students following the 2022 recorded lecture series. There are 10 weeks of instruction. Links to lecture recordings will appear in this table. Weekly problem sets are assigned on Fridays and due the next Friday, when we discuss the solutions in the weekly online meeting. -
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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Plumbing
Prismatic's Clojure(Script) utility belt
...A Graph encodes the structure of a computation, but not how it happens, allowing for many execution strategies. For example, we can compile a Graph lazily so that step values are computed as needed. Or, we can parallel-compile the Graph so that independent step functions are run in separate threads. -
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Lightweight-Stream-API
Stream API from Java 8 rewritten on iterators for Java 7 and below
Stream API from Java 8 rewritten on iterators for Java 7 and below. -
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Saturn
The vip.com's distributed job scheduling platform
Saturn is a platform created by VIP.com to provide a distributed, fault-tolerant and high available job scheduling service. -
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jQuery & Zepto Lazy
A lightweight, fast, feature-rich, powerful and highly configurable
Lazy is a fast, feature-rich, and lightweight delayed content-loading plugin for jQuery and Zepto. It's designed to speed up page loading times and decrease traffic to your users by only loading the content in view. You can use Lazy in all vertical and horizontal scroll ways. It supports images in img / tags and backgrounds, supplied with CSS like background-image, by default. On those elements, Lazy can set a default image or a placeholder while loading and supports retina displays as well.... -
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usbmuxd
A socket daemon to multiplex connections from and to iOS devices
A socket daemon to multiplex connections from and to iOS devices. usbmuxd stands for "USB multiplexing daemon". This daemon is in charge of multiplexing connections over USB to an iOS device. The daemon is automatically started by udev or systemd depending on what you have configured upon hotplug of an iOS device and exits if the last device was unplugged. When usbmuxd is running it provides a socket interface at /var/run/usbmuxd that is designed to be compatible with the socket interface... -
Free and Open Source HR SoftwareGive your HR team the tools they need to streamline administrative tasks, support employees, and make informed decisions with the OrangeHRM free and open source HR software.
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ResNeXt
Implementation of a classification framework
ResNeXt is a deep neural network architecture for image classification built on the idea of aggregated residual transformations. Instead of simply increasing depth or width, ResNeXt introduces a new dimension called cardinality, which refers to the number of parallel transformation paths (i.e. the number of “branches”) that are aggregated together. Each branch is a small transformation (e.g. bottleneck block) and their outputs are summed—this enables richer representation without excessive parameter blowup. The design is modular and homogeneous, making it relatively easy to scale (by tuning cardinality, width, depth) and adopt in existing residual frameworks. ... -
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RecNN
Reinforced Recommendation toolkit built around pytorch 1.7
This is my school project. It focuses on Reinforcement Learning for personalized news recommendation. The main distinction is that it tries to solve online off-policy learning with dynamically generated item embeddings. I want to create a library with SOTA algorithms for reinforcement learning recommendation, providing the level of abstraction you like. -
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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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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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Phaser 3 Webpack Loader
Asset loader for Phaser + Webpack.
Phaser Webpack Loader is a plugin that streamlines the process of loading game assets in Phaser projects using Webpack. It facilitates parallel asset loading and integrates with Webpack's module system for efficient game development. -
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Tiramisu
Polyhedral compiler for expressing fast and portable data algorithms
Tiramisu is a compiler for expressing fast and portable data parallel computations. It provides a simple C++ API for expressing algorithms (Tiramisu expressions) and how these algorithms should be optimized by the compiler. Tiramisu can be used in areas such as linear and tensor algebra, deep learning, image processing, stencil computations and machine learning. The Tiramisu compiler is based on the polyhedral model thus it can express a large set of loop optimizations and data layout transformations. ... -
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Incanter
Clojure-based, R-like statistical computing and graphics environment
Incanter is a Clojure-based, R-like statistical computing and visualization library running on the JVM. It integrates core numerical libraries like Parallel Colt and JFreeChart to deliver data manipulation, modeling, statistical tests, and charting in a REPL-friendly environment. Start by visiting the Incanter website for an overview, check out the documentation page for a listing of HOW-TOs and examples, and then download either an Incanter executable or a pre-built version of the latest build of Incanter, which includes all the necessary dependencies, and unpack the file (if you would like to build it from source, read Building Incanter). ... -
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PyCNN
Image Processing with Cellular Neural Networks in Python
Image Processing with Cellular Neural Networks in Python. Cellular Neural Networks (CNN) are a parallel computing paradigm that was first proposed in 1988. Cellular neural networks are similar to neural networks, with the difference that communication is allowed only between neighboring units. Image Processing is one of its applications. CNN processors were designed to perform image processing; specifically, the original application of CNN processors was to perform real-time ultra-high frame-rate (>10,000 frame/s) processing unachievable by digital processors. -
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neuranep
Neural Network Engineering Platform
A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. -
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Java OpenBase
Java all purpose Library
A small library with some day to day problemsolving classes. Database, XML, Parallel, Math, String, ... -
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instantFSM
C++ inline state machine library
instantFSM is a header-only C++ state machine library. Its goal is to make state machine declaration and use easy enough that it can be integrated into your projects painlessly. Have a look atp the wiki where you will find a tutorial, samples, and a cheatsheet to get accustomed with instantFSM. The only instantFSM header file is downloadable from the files section or you can check it out from the git repository. -
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STMX
High-performance transactional memory for Common Lisp
...Instead of traditional lock-based programming, one programs with atomic memory transactions: if a memory transaction returns normally it gets committed, if instead it signals an error (Lisp slang for throwing an exception) it is rolled back. Memory transactions can safely run in parallel in different threads, are re-executed from the beginning in case of conflicts or if consistent reads cannot be guaranteed, and effects of a transaction are not visible from other threads until it commits. STMX gives freedom from deadlocks, automatic rollback on failure, and it aims at resolving the tension between granularity and concurrency. -
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LABjs
Loading And Blocking JavaScript
LABjs is a lightweight JavaScript loader focused on speeding up page performance by controlling how and when scripts download and execute. It provides an expressive API to load multiple files in parallel while guaranteeing execution order, so dependent scripts don’t break. By decoupling fetch from execute, it avoids the blocking behavior of traditional tags and helps reduce perceived load time. LABjs embraces a “load groups, then wait” model that makes dependency management clear without a separate build step. It’s designed to work across a wide range of browsers, including older ones, which is why it relies on robust feature detection and time-tested loading techniques. ... -
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Java Parallel Loops
Parallel loops in Java
A library that makes writing parallel (multithreaded) for loops in Java 5+ easier. It also supports parallel processing of lists and arrays, asynchronous invocation, progress and completion notification, computation interruption and results merging. -
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MapReduce++ is a project for implementation of parallel algorithms. It has currently two C++ implementations of the MapReduce abstraction: the MapMP library (multiprocessors) and the MaPI framework (multicomputers).
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A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. Each microthread is conceptually similar to a task in Ada and it is much lighter weight than an operating system thread. SpikeOS was designed to handle millions of microthreads, for example in a neural network hosting millions of spiking model neurons.
