Search Results for "high performance computing" - Page 24
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Showing 2510 open source projects for "high performance computing"
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TensorFlow Datasets
TFDS is a collection of datasets ready to use with TensorFlow,
TensorFlow Datasets is a collection of datasets ready to use, with TensorFlow or other Python ML frameworks, such as Jax. All datasets are exposed as tf.data. Datasets , enabling easy-to-use and high-performance input pipelines. To get started see the guide and our list of datasets. -
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ojg
Optimized JSON for Go
Optimized JSON for Go is a high-performance parser with a variety of additional JSON tools. OjG is optimized to processing huge data sets where data does not necessarily conform to a fixed structure. -
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Open 3D Engine (O3DE)
Open 3D Engine (O3DE) is an Apache 2.0-licensed multi-platform 3D
Easier team collaboration, artist workflows & multiplayer setup, increased terrain performance, new rendering features. Developed with cutting-edge, real-time graphics and complex interactions in mind, O3DE allows you to create robust, engaging experiences using our multi-threaded and extensible photorealistic renderer. O3DE's modular architecture is built for customization from day one. Each component, known as a Gem, can be adopted separately, giving you access to the specific... -
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YugabyteDB
The high-performance distributed SQL database for global apps
Microservices need a cloud-native relational database that is resilient, scalable, and geo-distributed. YugabyteDB powers your modern applications. Get instantly productive with a Postgres compatible RDBMS. YugabyteDB reuses PostgreSQL’s query layer and supports all advanced features. Scale-out and in with zero impact. Proven in production to scale beyond 300K TPS, over 100TB of data, and thousands of concurrent connections. Achieve continuous availability during infrastructure failures and... -
PRTG Catches Network Issues Before They Cause DowntimeReactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
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FerrumC
A reimplementation of the minecraft server in rust
FerrumC is a re-implementation of a server for the game Minecraft (version 1.21.8) built from scratch in Rust, designed to offer significantly improved performance and memory efficiency compared to vanilla server implementations. By using Rust’s concurrency and safety guarantees, FerrumC runs fully multithreaded, allowing it to utilize all available CPU cores — which helps deliver smoother, low-latency, high-throughput multiplayer experiences. The project aims both at providing a fast, lean server for typical use (friends or small communities) and offering a foundation that could support large-scale servers, mod/plugin systems, and custom server configurations. ... -
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CogDB
Micro Graph Database for Python Applications
Cog is a lightweight, embedded graph database for Go that provides a simple interface for storing and querying graph-based data structures, making it useful for knowledge representation and graph analytics. -
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redis-rs
Redis library for rust
Redis-rs is a Rust library for interacting with Redis databases, offering high-performance data manipulation capabilities for Rust developers. -
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NautilusTrader
A high-performance algorithmic trading platform
NautilusTrader is an open-source, high-performance, production-grade algorithmic trading platform, provides quantitative traders with the ability to backtest portfolios of automated trading strategies on historical data with an event-driven engine, and also deploy those same strategies live, with no code changes. The platform is 'AI-first', designed to develop and deploy algorithmic trading strategies within a highly performant and robust Python native environment. -
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MiroFlow
Agent framework that enables tool-use agent tasks
MiroFlow is a high-performance open-source framework designed for building intelligent AI agents capable of solving complex reasoning and research tasks. The system introduces a hierarchical architecture that organizes components into control, agent, and foundation layers, allowing developers to manage agent orchestration and tool interactions in a structured manner. -
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UCCL
UCCL is an efficient communication library for GPUs
UCCL is a high-performance GPU communication library designed to support distributed machine learning workloads and large-scale AI systems. The library focuses on enabling efficient data transfer and collective communication between GPUs during training and inference processes. It supports a variety of communication patterns including collective operations such as all-reduce as well as peer-to-peer transfers that are commonly used in modern machine learning architectures. ... -
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OpenVINO Model Server
A scalable inference server for models optimized with OpenVINO
OpenVINO™ Model Server is a high-performance inference serving system designed to host and serve machine learning models that have been optimized with the OpenVINO toolkit. It’s implemented in C++ for scalability and efficiency, making it suitable for both edge and cloud deployments where inference workloads must be reliable and high throughput. The server exposes model inference via standard network protocols like REST and gRPC, allowing any client that speaks those protocols to request predictions remotely, abstracting away the complexity of where and how the model runs. ... -
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MMKV
The fastest key/value storage for React Native
...Fully synchronous calls, no async/await, no Promises, no Bridge. Encryption support (secure storage). Multiple instances support (separate user-data with global data). Customize storage location. High performance because everything is written in C++. ~30x faster than AsyncStorage. Uses JSI instead of the "old" Bridge. iOS, Android and Web support. Easy to use React Hooks API. StorageBenchmark compares popular storage libraries against each other by reading a value from storage for 1000 times. -
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morilog/jalali
This Package helps developers to easily work with Jalali
Jalali calendar is a solar calendar that was used in Persia, variants of which today are still in use in Iran as well as Afghanistan. Read more on Wikipedia or see Calendar Converter. Calendar conversion is based on the algorithm provided by Kazimierz M. Borkowski and has a very good performance. CalendarUtils class was ported from jalaali/jalaali-js. -
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SmartSql
SmartSql = MyBatis in C# + .NET Core+ Cache(Memory | Redis)
SmartSql is a lightweight, high-performance ORM for .NET inspired by MyBatis. It provides a hybrid approach that separates SQL from application code while supporting dynamic queries, mapping, and caching. With XML or annotation-based configuration, SmartSql is designed to balance control and productivity for .NET developers. -
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Wavebox
Wavebox, the revolutionary and feature-rich Chromium browser
This is an issues & release-only repo for Wavebox, the revolutionary and feature-rich Chromium browser that's built for productive working across Google Workspaces, Microsoft Teams, ClickUp, Monday, Atlassian, Asana, AirTable, Slack, and every other web app you use to get work done. Wavebox gives you customizable toolbars, sleeping tabs, cookie containers and multiple profiles. -
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Apache Sedona
Cluster computing framework for processing large-scale geospatial data
Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive... -
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PapersGPT
A powerful Zotero AI and MCP plugin with ChatGPT, Gemini 3.1, Claude
PapersGPT is an AI-powered plugin that integrates directly into Zotero to transform how researchers interact with academic papers and literature collections. It enables users to chat with individual PDFs or entire collections, allowing them to extract insights, generate summaries, and explore connections between documents without leaving the Zotero environment. The plugin supports a wide range of state-of-the-art language models, including GPT, Claude, Gemini, and open-source alternatives,... -
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BehaviorTree.CPP
C++ behavior tree library for robotics and AI decision systems
BehaviorTree.CPP is a C++ library designed to create, manage, and execute behavior trees, a widely used model for decision-making in robotics and artificial intelligence systems. It provides a flexible and modular framework that allows developers to define complex behaviors as reusable tree structures composed of nodes. BehaviorTree.CPP emphasizes performance and real-time execution, making it particularly suitable for robotics applications where responsiveness is critical. It supports... -
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dqlite
Embeddable, replicated and fault tolerant SQL engine
Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. Dqlite (distributed SQLite) extends SQLite across a cluster of machines, with automatic failover and high-availability to keep your application running. It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint. Stable Golang client and a documented wire protocol for other languages. Runs on ARM, X86, POWER and IBM Z architectures. ... -
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MLC LLM
Universal LLM Deployment Engine with ML Compilation
...The project focuses on compiling models into optimized runtimes that can run natively on devices such as GPUs, mobile processors, browsers, and edge hardware. By leveraging machine learning compilation techniques, mlc-llm produces high-performance inference engines that maintain consistent APIs across platforms. The system supports deployment on environments including Linux, macOS, Windows, iOS, Android, and web browsers while utilizing different acceleration technologies such as CUDA, Vulkan, Metal, and WebGPU. It also provides OpenAI-compatible APIs that allow developers to integrate locally deployed models into existing AI applications without major code changes. -
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Lance
Modern columnar data format for ML and LLMs implemented in Rust
Lance is a columnar data format that is easy and fast to version, query and train on. It’s designed to be used with images, videos, 3D point clouds, audio and of course tabular data. It supports any POSIX file systems, and cloud storage like AWS S3 and Google Cloud Storage. -
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ispc
Intel SPMD Program Compiler
ispc is a compiler for a variant of the C programming language, with extensions for single programs, and multiple data programming. Under the SPMD model, the programmer writes a program that generally appears to be a regular serial program, though the execution model is actually that a number of program instances execute in parallel on the hardware. ispc compiles a C-based SPMD programming language to run on the SIMD units of CPUs and GPUs; it frequently provides a 3x or more speedup on... -
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PanSou
Network disk resource search API service that supports TG channel
PanSou is a high-performance cloud-storage resource search API built around concurrent Telegram and plugin-based discovery. It searches multiple configured sources in parallel and aggregates links into a normalized result format. Supported link categories include Baidu, Aliyun, Quark, Tianyi, UC, 115, PikPak, Xunlei, 123 Cloud, magnet links, ED2K, and others. -
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XZ Utils
Open-source compression utility and library
xz is a widely used open-source compression utility and library that implements the high-ratio LZMA and LZMA2 compression algorithms. It provides both command-line tools and a reusable C library, enabling developers and system administrators to compress and decompress files efficiently across many environments. The project is known for delivering strong compression performance while maintaining reasonable memory usage, making it suitable for software distribution, backups, and archival workflows. xz is commonly included in Unix-like operating systems and is often used as a standard packaging format in Linux ecosystems. ... -
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GLM-4.5
GLM-4.5: Open-source LLM for intelligent agents by Z.ai
GLM-4.5 is a cutting-edge open-source large language model designed by Z.ai for intelligent agent applications. The flagship GLM-4.5 model has 355 billion total parameters with 32 billion active parameters, while the compact GLM-4.5-Air version offers 106 billion total parameters and 12 billion active parameters. Both models unify reasoning, coding, and intelligent agent capabilities, providing two modes: a thinking mode for complex reasoning and tool usage, and a non-thinking mode for...
