Search Results for "linux performance booster" - Page 70
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Showing 6284 open source projects for "linux performance booster"
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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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Cosmopolitan
Build-once run-anywhere c library
Cosmopolitan Libc makes C a build-once run-anywhere language, like Java, except it doesn't need an interpreter or virtual machine. Instead, it reconfigures stock GCC and Clang to output a POSIX-approved polyglot format that runs natively on Linux + Mac + Windows + FreeBSD + OpenBSD + NetBSD + BIOS with the best possible performance and the tiniest footprint imaginable. Cosmopolitan can be compiled from source on any Linux distro. GNU make needs to be installed beforehand. This is a freestanding hermetic repository that bootstraps using a vendored static gcc9 executable. No further dependencies are required. -
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Vanilla.PDF
Cross-platform SDK for creating and modifying PDF documents
Vanilla.PDF is a modern, high-performance, open-source C++17 SDK designed for creating, editing, signing, and analyzing PDF documents across multiple platforms. It requires no external runtime dependencies, making it lightweight and ideal for embedding into desktop applications, servers, or automation pipelines. The SDK offers full cross-platform support including Windows, Linux, macOS, and Android, with builds available for major compilers and architectures. -
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Halo
Framework built by White Circle for training large language
Halo is an open-source training framework for large language and multimodal models, designed to scale from a single GPU to multi-node clusters. It supports pretraining, supervised fine-tuning, preference optimization, distillation, and fully asynchronous multi-turn reinforcement learning. The framework trains Hugging Face models directly, so checkpoints remain compatible with standard from_pretrained workflows. Distributed execution supports expert, context, tensor, and expert-tensor... -
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Vibe-Trading
Vibe-Trading: Your Personal Trading Agent
Vibe-Trading is an AI-powered multi-agent financial workspace that converts natural language inputs into executable trading strategies and market analysis. It allows users to describe investment ideas in plain language, which are then translated into code, backtested, and evaluated across global markets. The platform integrates multiple data sources, including equities, crypto, and derivatives, with automatic fallback mechanisms. It features a swarm-based architecture with prebuilt expert... -
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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CCapture.js
A library to capture canvas-based animations at a fixed framerate
CCapture.js is a JavaScript library designed to capture high-quality recordings of HTML5 canvas animations at a fixed and consistent frame rate. Unlike traditional screen recording tools, it decouples rendering speed from capture speed, allowing developers to generate smooth video outputs even when frames take longer to compute. It works by overriding time-related browser functions such as requestAnimationFrame and Date.now to simulate a stable time progression, ensuring every frame is... -
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Context Mode
Context window optimization for AI coding agents
Context Mode is a development approach and tooling concept that enhances how AI-assisted coding environments manage and inject context into language model interactions. It focuses on improving the relevance and accuracy of AI-generated outputs by controlling what information is provided to the model at each step. The project explores structured context management, enabling developers to define how files, code snippets, and metadata are included in prompts. It is particularly useful for large... -
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Ollama Grid Search
A multi-platform desktop application to evaluate and compare LLM
Ollama Grid Search is a desktop application designed to automate the evaluation and comparison of large language models, prompts, and inference parameters in a structured and repeatable way. Instead of manually testing combinations, the tool performs grid search experiments by iterating across different models, prompt variations, and parameter configurations, allowing users to quickly identify optimal setups for specific tasks. It provides a visual interface where experiment results can be... -
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Career-Ops
AI-powered job search system built on Claude Code
Career Ops is an open-source platform designed to help individuals manage their job search process with a structured, operations-style approach that treats career development like a pipeline. It provides a system for organizing job applications, tracking progress across different stages, and maintaining visibility into opportunities, much like a lightweight CRM tailored for job seekers. The project emphasizes clarity and accountability, enabling users to monitor applications, follow-ups, and... -
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HLSL++
Math library using HLSL syntax with multiplatform SIMD support
HLSL++ is a header-only C++ math library designed to replicate the syntax and functionality of the HLSL shading language, making it easier for developers to write CPU-side code that mirrors GPU shader logic. It provides vector, matrix, and math operations with a syntax identical or very similar to HLSL, allowing seamless transition between shader code and application code. The library is optimized for performance and supports SIMD instructions across multiple architectures, including SSE,... -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Edgee
AI gateway with token compression for Claude Code, Codex, and more
Edgee is an edge-native execution platform designed to run AI-driven logic and data processing directly at the network edge, reducing latency and improving responsiveness for modern applications. It enables developers to deploy functions and workflows closer to users, allowing real-time processing without relying heavily on centralized cloud infrastructure. The platform is built to support event-driven architectures, where actions are triggered by incoming requests, user behavior, or... -
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uAssets
Filter lists for uBlock Origin & uBlock Origin Lite
uAssets is a companion repository for the uBlock Origin content blocker that contains filter lists, rules, and configuration data used to block advertisements, trackers, and unwanted web content across the internet. It acts as a continuously updated database of filtering rules that define how uBlock Origin interacts with web pages, enabling it to remove intrusive elements and improve user privacy. The repository includes domain-based filters, cosmetic rules, scriptlet injections, and... -
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machine-learning-refined
Master the fundamentals of machine learning, deep learning
machine-learning-refined is an educational repository designed to help students and practitioners understand machine learning algorithms through intuitive explanations and interactive examples. The project accompanies a series of textbooks and teaching materials that focus on making machine learning concepts accessible through visual demonstrations and simple code implementations. Instead of presenting algorithms purely through mathematical derivations, the repository emphasizes geometric... -
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ggml
Tensor library for machine learning
ggml is an open-source tensor library designed for efficient machine learning computation with a focus on running models locally and with minimal dependencies. Written primarily in C and C++, the library provides low-level tensor operations and automatic differentiation that allow developers to implement machine learning algorithms and neural networks efficiently. The project emphasizes portability and performance, enabling machine learning inference across a wide range of hardware... -
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Cloudflare Agents
Build and deploy AI Agents on Cloudflare
Cloudflare Agents is an open-source framework designed to help developers build, deploy, and manage AI agents that run at the network edge. It provides infrastructure for creating stateful, event-driven agents capable of real-time interaction while maintaining low latency through Cloudflare’s distributed platform. The project includes SDKs, templates, and deployment tooling that simplify the process of connecting agents to external APIs, storage systems, and workflows. Its architecture... -
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Drip
Self-hosted tunneling solution to expose localhost securely
Drip is an open-source, self-hosted tunneling solution that lets you expose local services to the internet securely on your own terms. Inspired by the idea of “lighting a small lamp on your network,” Drip creates encrypted tunnels through your own infrastructure without relying on third-party servers, giving you full control over traffic direction and network endpoints. The project supports unlimited tunnels and bandwidth, making it suitable for both development and production scenarios... -
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Go Katas
A collection of daily coding challenges
Go Katas is a curated collection of practice exercises and coding challenges specifically crafted to improve proficiency in Go, including idiomatic patterns, language fundamentals, and algorithm design. It mirrors the kata practice tradition from martial arts—repetitive, thoughtful practice where each exercise reinforces technique, discipline, and problem-solving approach. Each kata prompt focuses on a precise aspect of Go, such as concurrency patterns, memory management, interfaces, error... -
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Engram
A New Axis of Sparsity for Large Language Models
Engram is a high-performance embedding and similarity search library focused on making retrieval-augmented workflows efficient, scalable, and easy to adopt by developers building search, recommendation, or semantic matching systems. It provides utilities to generate embeddings from text or other structured data, index them using efficient approximate nearest neighbor algorithms, and perform real-time similarity queries even on large corpora. Engineered with speed and memory efficiency in... -
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JavaScript Obfuscator
A powerful obfuscator for JavaScript and Node.js
JavaScript Obfuscator is a Node.js library and CLI that transforms readable JavaScript into hardened, difficult-to-reverse code. It applies techniques such as identifier mangling, string array extraction/encoding, control-flow flattening, dead-code injection, and numeric literal transformations to disguise intent. Advanced options include self-defending code, domain locking, debug/console protection, and property key transformation, allowing you to tailor defenses to your threat model. The... -
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VK-GL-CTS
Khronos Vulkan, OpenGL, and OpenGL ES Conformance Tests
VK-GL-CTS (Vulkan and OpenGL Conformance Test Suite) is the official test suite developed by the Khronos Group to verify conformance of graphics drivers with Vulkan, OpenGL, and OpenGL ES specifications. These tests are essential for vendors seeking certification, as they rigorously check the correctness and completeness of driver implementations against standardized behavior. The suite contains thousands of automated tests that assess rendering accuracy, API behavior, memory usage, and... -
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PaperQA2
High accuracy RAG for answering questions from scientific documents
PaperQA2 is a package for doing high-accuracy retrieval augmented generation (RAG) on PDFs or text files, with a focus on the scientific literature. See our recent 2024 paper to see examples of PaperQA2's superhuman performance in scientific tasks like question answering, summarization, and contradiction detection. In this example we take a folder of research paper PDFs, magically get their metadata - including citation counts and a retraction check, then parse and cache PDFs into a... -
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jimmer
A revolutionary ORM framework for both java and kotlin.
A revolutionary ORM framework for both Java and kotlin and a complete integrated solution. You can view everything from the documentation. Brings dynamism into static language ORM frameworks, achieving flexible capabilities for operating on complex dynamic data structures without compromising the complete compile-time safety checks of static languages, eliminating DTO explosion and unafraid of engineering expansion and changing requirements. Its innovative SQL DSL supports dynamic table... -
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Apache Lucene
Apache Lucene open-source search software
The Apache Lucene™ project develops open-source search software. The project releases a core search library, named Lucene™ core, as well as PyLucene, a Python binding for Lucene. Lucene Core is a Java library providing powerful indexing and search features, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities. The PyLucene sub-project provides Python bindings for Lucene Core. The Apache Software Foundation provides support for the Apache community of... -
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GraphQL Inspector
Validate schema, get schema change notifications, validate operations
Validate schemas and detect changes. Receive schema change notifications. Keep Operations and Fragments consistent. Start using our GitHub Application, setup everything up within few clicks. Using GitHub workflows? Try out the GitHub Action. GraphQL Inspector can be used in any Continuous Integration service. Use our modularized, CI suited version of CLI. GraphQL Inspector offers a CLI that lets you analyze your GraphQL API but also client-side applications. Our codebase is publicly... -
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Saleor Commerce
A modular, high performance, headless e-commerce platform
An open-source, GraphQL-first e-commerce platform delivering ultra-fast, dynamic and personalized shopping experiences. A headless, GraphQL commerce platform delivering ultra-fast, dynamic, personalized shopping experiences. Beautiful online stores, anywhere, on any device. Saleor is a rapidly-growing open source e-commerce platform that has served high-volume companies from branches like publishing and apparel since 2012. Based on Python and Django, the latest major update introduces a... -
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TensorFlow Model Optimization Toolkit
A toolkit to optimize ML models for deployment for Keras & TensorFlow
The TensorFlow Model Optimization Toolkit is a suite of tools for optimizing ML models for deployment and execution. Among many uses, the toolkit supports techniques used to reduce latency and inference costs for cloud and edge devices (e.g. mobile, IoT). Deploy models to edge devices with restrictions on processing, memory, power consumption, network usage, and model storage space. Enable execution on and optimize for existing hardware or new special purpose accelerators. Choose the model...
