Search Results for "high performance computing" - Page 16
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Showing 2509 open source projects for "high performance computing"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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PublicCMS
PublicCMS is an open source JAVACMS system
...Support full site static, SSI, partial static of dynamic pages, improve concurrent access ability and SEO friendliness of the website. Easily support tens of millions of data and tens of millions of PVs, and provide a lightweight solution with low consumption, high performance and high availability for massive data access. -
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clip-retrieval
Easily compute clip embeddings and build a clip retrieval system
clip-retrieval is an open-source toolkit designed to build large-scale semantic search systems for images and text by leveraging CLIP embeddings to enable multimodal retrieval. It allows developers to compute embeddings for both images and text efficiently and then index them for fast similarity search across massive datasets. The system is optimized for performance and scalability, capable of processing tens or even hundreds of millions of embeddings using GPU acceleration. It includes... -
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libSQL
libSQL is a fork of SQLite that is both Open Source
libSQL is an open-source, community-driven fork of SQLite maintained by Turso. It aims to modernize SQLite by optimizing for performance and availability, targeting distributed and low-latency applications. SQLite has solidified its place in modern technology stacks, embedded in nearly any computing device you can think of. Its open source nature and public domain availability make it a popular choice for modification to meet specific use cases. libSQL will always be able to ingest and write the SQLite file format. ... -
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Martin
Blazing fast and lightweight PostGIS, MBtiles and PMtiles tile server
Martin is a fast and lightweight tile server for serving vector and raster tiles from PostGIS-enabled PostgreSQL databases. Written in Rust, it is optimized for performance and low memory usage, making it suitable for production geospatial applications. Martin supports modern web mapping standards and integrates seamlessly with MapLibre and other mapping libraries. -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Aedes
Barebone MQTT broker that can run on any stream server
A high-performance MQTT broker for IoT applications, designed to be lightweight and scalable. -
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Spring Batch
Spring Batch is a framework for writing batch applications using Java
...Spring Batch provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management. It also provides more advanced technical services and features that will enable extremely high-volume and high performance batch jobs through optimization and partitioning techniques. Simple as well as complex, high-volume batch jobs can leverage the framework in a highly scalable manner to process significant volumes of information. -
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Python Client For NLP Cloud
NLP Cloud serves high performance pre-trained or custom models for NER
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, source code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. ... -
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Ristretto
A high performance memory-bound Go cache
Ristretto is a fast, concurrent cache library built with a focus on performance and correctness. It all started with needing a memory-bound, concurrent Go cache in Dgraph. We looked around for a solution, but we couldn’t find a great one. We then tried using a sharded map, with shard eviction to release memory, which caused us memory issues. We then repurposed Groupcache’s LRU, using mutex locks for thread safety. After having it around for a year, we noticed that the cache suffered from... -
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Venom
Venom is the most complete javascript library for Whatsapp
Venom is a high-performance system developed with JavaScript to create a bot for WhatsApp, support for creating any interaction, such as customer service, media sending, sentence recognition based on artificial intelligence and all types of design architecture for WhatsApp. It's a high-performance alternative API to whatzapp, you can send, text messages, files, images, videos and more. -
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Citus
Distributed PostgreSQL as an extension
Citus is a PostgreSQL extension that transforms Postgres into a distributed database, so you can achieve high performance at any scale. With Citus, you extend your PostgreSQL database with new superpowers. Distributed tables are sharded across a cluster of PostgreSQL nodes to combine their CPU, memory, storage and I/O capacity. References tables are replicated to all nodes for joins and foreign keys from distributed tables and maximum read performance. -
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Piston
A high performance general purpose code execution engine
A high-performance API service for running arbitrary code in various programming languages, designed for online compilers and execution environments. -
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Dominator
Zero-cost ultra-high-performance declarative DOM library using FRP
Dominator is a high-performance declarative DOM library for Rust that focuses on building web applications with minimal overhead by directly manipulating real DOM nodes instead of relying on a virtual DOM. It uses a functional reactive programming model based on signals, allowing UI components to automatically update in response to state changes in an efficient and predictable manner. -
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ZML
Any model. Any hardware. Zero compromise
ZML is a high-performance machine learning inference stack designed to run AI models efficiently across heterogeneous hardware environments using a modern systems programming approach. Built with technologies such as Zig, MLIR, and Bazel, it focuses on production-grade deployment where performance, portability, and scalability are critical. The system allows models to be compiled and executed across multiple types of accelerators, including GPUs and TPUs, even when distributed across different machines or locations. ... -
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webgl-plot
A high-Performance real-time 2D plotting library based on native WebGL
webgl-plot is a high-performance plotting library for real-time data visualization in the browser using WebGL. Unlike traditional canvas or SVG-based charting libraries, webgl-plot is optimized for streaming and dynamic updates, making it ideal for oscilloscope-style data, biomedical signals, or any application where data updates hundreds of times per second. -
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gemma.cpp
lightweight, standalone C++ inference engine for Google's Gemma models
Gemma.cpp is a C++ implementation for running inference with Gemma models efficiently on CPUs and GPUs. Developed by Google, it allows running large language models (LLMs) like Gemma with minimal hardware, focusing on optimized performance and low latency. Gemma.cpp is intended for developers seeking to deploy LLMs in production environments without needing massive computational resources. -
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Smile
Statistical machine intelligence and learning engine
...Data scientists and developers can speak the same language now! Smile provides hundreds advanced algorithms with clean interface. Scala API also offers high-level operators that make it easy to build machine learning apps. And you can use it interactively from the shell, embedded in Scala. The most complete machine learning engine. Smile covers every aspect of machine learning. -
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Lemonade
Lemonade helps users run local LLMs with the highest performance
Lemonade is a local LLM runtime that aims to deliver the highest possible performance on your own hardware by auto-configuring state-of-the-art inference engines for both NPUs and GPUs. The project positions itself as a “local LLM server” you can run on laptops and workstations, abstracting away backend differences while giving you a single place to serve and manage models. Its README emphasizes real-world adoption across startups, research groups, and large companies, signaling a focus on... -
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how-to-live-better
Online single-page reading version of the 528-item "High-Value Life"
How to Live Better is a self-contained web reader for the open-source High Cost-Performance Life Guide. It renders all 32 sections and 528 recommendations from the upstream project into a single searchable HTML page. Each recommendation is presented as a card with evidence grade, value tier, and cost labels. Users can search the full guide, filter for top-grade evidence, or show only simplified explanations. -
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Vue DevUI
UI components based on Vue3 and DevUI Design
Vue DevUI is a comprehensive UI component library built specifically for Vue 3, designed to help developers create enterprise-grade applications with consistent design and high usability. It is based on the DevUI design system and provides more than 50 high-quality components that are flexible, easy to use, and optimized for modern frontend development. The library supports TypeScript and integrates seamlessly with tools like Vite and Nuxt3, making it suitable for both small projects and large-scale applications. ... -
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PgDog
PostgreSQL connection pooler, load balancer and database sharder
...It acts as an intelligent intermediary between applications and database servers, enabling load balancing, query routing, and connection pooling in distributed environments. The project is designed with performance and observability in mind, helping teams manage high-traffic database workloads more efficiently. Its architecture supports modern infrastructure patterns, making it suitable for cloud-native and microservices deployments. pgDog also emphasizes operational simplicity, providing configuration mechanisms that allow teams to adjust routing behavior without deep changes to application code. ... -
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VibeThinker
Diversity-driven optimization and large-model reasoning ability
...The result is a model that outpaces many much larger models on domain-specific benchmarks, demonstrating that smaller models, if trained carefully and with the right objectives, can achieve high performance in reasoning-centric tasks. -
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libCEED
CEED Library: Code for Efficient Extensible Discretizations
libCEED provides fast algebra for element-based discretizations, designed for performance portability, run-time flexibility, and clean embedding in higher-level libraries and applications. It offers a C99 interface as well as bindings for Fortran, Python, Julia, and Rust. While our focus is on high-order finite elements, the approach is mostly algebraic and thus applicable to other discretizations in factored form, as explained in the user manual and API implementation portion of the documentation. ... -
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DeepSeek-V3
Powerful AI language model (MoE) optimized for efficiency/performance
...It employs Multi-head Latent Attention (MLA) and the DeepSeekMoE architecture to enhance computational efficiency. The model introduces an auxiliary-loss-free load balancing strategy and a multi-token prediction training objective to boost performance. Trained on 14.8 trillion diverse, high-quality tokens, DeepSeek-V3 underwent supervised fine-tuning and reinforcement learning to fully realize its capabilities. Evaluations indicate that it outperforms other open-source models and rivals leading closed-source models, achieving this with a training duration of 55 days on 2,048 Nvidia H800 GPUs, costing approximately $5.58 million. -
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FinalBurn Neo
FinalBurn Neo - We are Team FBNeo
FinalBurn Neo (FBNeo) is a highly advanced multi-system arcade emulator designed to accurately reproduce classic arcade hardware and selected home consoles on modern systems. It is a continuation of the FinalBurn and FinalBurn Alpha projects, incorporating years of refinement and community-driven development into a robust and feature-rich emulator. The project focuses heavily on balancing accuracy and performance, ensuring that games behave as closely as possible to original hardware while... -
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librdkafka
The Apache Kafka C/C++ library
librdkafka is a C library implementation of the Apache Kafka protocol, providing Producer, Consumer and Admin clients. It was designed with message delivery reliability and high performance in mind, current figures exceed 1 million msgs/second for the producer and 3 million msgs/second for the consumer. librdkafka is licensed under the 2-clause BSD license. KAFKA is a registered trademark of The Apache Software Foundation and has been licensed for use by librdkafka. librdkafka has no affiliation with and is not endorsed by The Apache Software Foundation. ...
