Search Results for "parallel" - Page 4
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Showing 1670 open source projects for "parallel"
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Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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Mako
An extremely fast, production-grade web bundler based on Rust
Mako is a new web bundler for web apps, libraries, and frameworks. It's designed to be fast, reliable, and easy to use. It has been used in hundreds of projects in production by Ant Group, and other companies. If you are looking for a modern web bundler, Mako is the right choice. -
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Greenplum Database
Massive parallel data platform for analytics, machine learning and AI
Rapidly create and deploy models for complex applications in cybersecurity, predictive maintenance, risk management, fraud detection, and many other areas. With its unique cost-based query optimizer designed for large-scale data workloads, Greenplum scales interactive and batch-mode analytics to large datasets in the petabytes without degrading query performance and throughput. Based on PostgreSQL, Greenplum provides you with more control over the software you deploy, reducing vendor... -
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mvnd
Apache Maven Daemon
Apache Maven is a software project management and comprehension tool. Based on the concept of a project object model (POM), Maven can manage a project's build, reporting and documentation from a central piece of information. -
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higgsfield
Fault-tolerant, highly scalable GPU orchestration
Higgsfield is an open-source, fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters, such as Large Language Models (LLMs). -
The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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TensorStore
Library for reading and writing large multi-dimensional arrays
...It separates the logical view (shape, dtype, chunking) from the physical layout so the same code can target Zarr, N5, TIFF pyramids, or custom backends. Rich indexing, slicing, and broadcasting operations make it feel like a familiar array API, while asynchronous I/O pipelines stream chunks efficiently in parallel. Transactional semantics allow atomic updates and consistent snapshots, which is essential for large, shared datasets used by ML and scientific workflows. The library is engineered for scalability—background caching, chunk sharding, and retryable operations keep throughput high even over unreliable networks. With language bindings, it fits into Python-heavy analysis pipelines while retaining a fast C++ core. -
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Claude Code Subagents Command Collection
Claude Code Subagents & Commands Collection + CLI Tool
...It includes a CLI helper and documentation site that streamline installation, customization, and authoring of your own agents. The project’s framing mirrors modern software teams—delegate tasks to experts that can run in parallel under Claude’s subagent support. Frequent updates and community contributions keep the catalog current with new roles and best practices. -
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GenAI Processors
GenAI Processors is a lightweight Python library
...Its central abstraction is the Processor, a unit of work that consumes an asynchronous stream of parts (text, images, audio, JSON) and produces another stream, making it natural to chain operations and keep everything streaming end-to-end. Processors can be composed sequentially (to build multi-step flows) or in parallel (to fan-out work and merge results), which makes sophisticated agent behaviors easy to express with simple operators. The library offers built-in processors for classic turn-based Gemini calls as well as Live API streaming, so you can mix “batch” and real-time interactions in the same graph. It leans on Python’s asyncio to coordinate concurrency, handle network I/O, and juggle background compute threads without blocking. -
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Tillywork
Opensource work management solution
Tillywork is a workflow automation and job scheduling system built on top of PostgreSQL. It’s designed for executing complex job chains with dependency management and error handling. Tillywork leverages SQL to define workflows, making it well-suited for data engineers and backend teams who want fine-grained control without adding a new runtime. -
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Barman
Backup and Recovery Manager for PostgreSQL
Barman (Backup and Recovery Manager) is an enterprise-grade tool for managing backups and disaster recovery of PostgreSQL databases. It supports both full and incremental backups, Point-In-Time Recovery (PITR), and remote backup via SSH. Barman is widely used by DBAs to ensure secure, reliable, and consistent backups in production environments. -
Effortlessly manage macOS, iOS, iPadOS and tvOS devices across multiple clients and locations.Addigy solutions accelerate Apple adoption in any environment.
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openTSNE
Extensible, parallel implementations of t-SNE
openTSNE is a modular Python implementation of t-Distributed Stochasitc Neighbor Embedding (t-SNE) [1], a popular dimensionality-reduction algorithm for visualizing high-dimensional data sets. openTSNE incorporates the latest improvements to the t-SNE algorithm, including the ability to add new data points to existing embeddings [2], massive speed improvements [3] [4] [5], enabling t-SNE to scale to millions of data points, and various tricks to improve the global alignment of the resulting... -
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ParallelStencil.jl
Package for writing high-level code for parallel stencil computations
ParallelStencil empowers domain scientists to write architecture-agnostic high-level code for parallel high-performance stencil computations on GPUs and CPUs. Performance similar to CUDA C / HIP can be achieved, which is typically a large improvement over the performance reached when using only CUDA.jl or AMDGPU.jl GPU Array programming. For example, a 2-D shallow ice solver presented at JuliaCon 2020 [1] achieved a nearly 20 times better performance than a corresponding GPU Array programming implementation; in absolute terms, it reached 70% of the theoretical upper performance bound of the used Nvidia P100 GPU, as defined by the effective throughput metric, T_eff. ... -
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ComputeSharp
.NET library to run C# code in parallel on the GPU through DX12
ComputeSharp is a .NET library to run C# code in parallel on the GPU through DX12 and dynamically generated HLSL compute shaders. The available APIs let you access GPU devices, allocate GPU buffers and textures, move data between them and the RAM, write compute shaders entirely in C# and have them run on the GPU. The goal of this project is to make GPU computing easy to use for all .NET developers! -
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Otter-Grader
A Python and R autograding solution
...It is designed to work with classes at any scale by abstracting away the autograding internals in a way that is compatible with any instructor's assignment distribution and collection pipeline. Otter supports local grading through parallel Docker containers, grading using the autograder platforms of 3rd party learning management systems (LMSs), the deployment of an Otter-managed grading virtual machine, and a client package that allows students to run public checks on their own machines. Otter is designed to grade Python scripts and Jupyter Notebooks, and is compatible with a few different LMSs, including Canvas and Gradescope. -
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Packer
Build Automated Machine Images
...Lightweight yet modern, Packer encourages the use of automated scripts to install and configure the software within your Packer-made images. It is highly performant, able to run on every major operating system and create machine images for several platforms in parallel. Packer supports a great number of platforms out of the box, and support for other platforms can be added through plugins. Any image it creates can also be easily turned into Vagrant boxes. -
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The Julia Programming Language
High-level, high-performance dynamic language for technical computing
Julia is a fast, open source high-performance dynamic language for technical computing. It can be used for data visualization and plotting, deep learning, machine learning, scientific computing, parallel computing and so much more. Having a high level syntax, Julia is easy to use for programmers of every level and background. Julia has more than 2,800 community-registered packages including various mathematical libraries, data manipulation tools, and packages for general purpose computing. Libraries from Python, R, C/Fortran, C++, and Java can also be used. -
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Stopwatch Component
Provides a way to profile code
Symfony Stopwatch is a lightweight component designed to measure the time and memory usage of code execution. It helps developers profile their applications by tracking the duration of specific operations and monitoring performance. Stopwatch is ideal for identifying bottlenecks and optimizing performance, especially in complex Symfony applications. It can also be used independently in any PHP project to measure the efficiency of code segments. -
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Balloon
Modernized and sophisticated tooltips, fully customizable
Modernized and sophisticated tooltips, fully customizable with an arrow and animations on Android. -
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PartitionedArrays.jl
Vectors and sparse matrices partitioned into pieces
This package provides distributed (a.k.a. partitioned) vectors and sparse matrices in Julia. See the documentation for further details. -
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ClassicUO
An open source implementation of the Ultima Online Classic Client
...It’s built using .NET Core and runs cross-platform, offering smoother input, faster rendering, and extensibility for private servers. The project is community-driven and continues to evolve in parallel with the fan-maintained ClassicUO ecosystem. -
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Laravel Envoy
Elegant SSH tasks for PHP
Laravel Envoy is a tool for executing common tasks you run on your remote servers. Using Blade-style syntax, you can easily set up tasks for deployment, Artisan commands, and more. Currently, Envoy only supports the Mac and Linux operating systems. However, Windows support is achievable using WSL2. -
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Dokkatoo
Generates documentation for Kotlin Gradle projects (based on Dokka)
Dokkatoo is a Gradle plugin that generates documentation for your Kotlin projects. Under the hood it uses Dokka, the API documentation engine for Kotlin. Dokkatoo has a number of improvements over the existing Dokka Gradle Plugin. Dokkatoo has basic functionality, and can generate documentation for single-projects and multimodule projects. -
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Megatron
Ongoing research training transformer models at scale
Megatron is a large, powerful transformer developed by the Applied Deep Learning Research team at NVIDIA. This repository is for ongoing research on training large transformer language models at scale. We developed efficient, model-parallel (tensor, sequence, and pipeline), and multi-node pre-training of transformer based models such as GPT, BERT, and T5 using mixed precision. Megatron is also used in NeMo Megatron, a framework to help enterprises overcome the challenges of building and training sophisticated natural language processing models with billions and trillions of parameters. ... -
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Kilo Code
Gives you a whole dev team of AI agents in your code editor
...With features like automatic failure recovery, hallucination-free code, and deep context awareness, Kilo ensures reliable and accurate outputs. Developers can install Kilo across terminals, VS Code, and JetBrains editors for seamless integration into existing workflows. The platform also provides parallel agents, smart autocomplete, one-click deployment, and automated code reviews. As the #1 agent on OpenRouter with 750,000+ users, Kilo has become a trusted companion for agentic engineering at scale. -
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LWJGL
Java library that enables cross-platform access to popular native APIs
LWJGL is a Java library that enables cross-platform access to popular native APIs useful in the development of graphics (OpenGL, Vulkan), audio (OpenAL) and parallel computing (OpenCL) applications. This access is direct and high-performance, yet also wrapped in a type-safe and user-friendly layer, appropriate for the Java ecosystem. LWJGL is an enabling technology and provides low-level access. It is not a framework and does not provide higher-level utilities than what the native libraries expose. ... -
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Petri
An alignment auditing agent capable of exploring alignment hypothesis
...The system supports major model APIs and comes with starter seeds and judge dimensions, enabling minutes-to-insight workflows for questions like reward hacking, self-preservation, or eval awareness. Petri is designed for parallel exploration: it spins many audits in flight, aggregates findings, and highlights transcripts that deserve human review.
