Search Results for "linux performance booster" - Page 45
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Showing 6199 open source projects for "linux performance booster"
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Artichoke Ruby
Artichoke is a Ruby made with Rust
Artichoke is an experimental implementation of the Ruby programming language written primarily in Rust, aiming to provide a modern, embeddable, and portable Ruby runtime. It is designed to be compatible with MRI Ruby while exploring new approaches to performance, safety, and execution models through Rust’s systems programming capabilities. One of its key goals is to enable Ruby to run in environments where traditional implementations struggle, including WebAssembly and sandboxed or untrusted... -
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Rhai
An embedded scripting language for Rust
Rhai is a lightweight, embedded scripting language and evaluation engine designed specifically for integration into Rust applications, offering a safe and flexible way to add dynamic behavior without sacrificing performance or security. It features a syntax that blends familiarity from JavaScript and Rust, making it approachable for developers while maintaining expressive power through dynamic typing and simple constructs. Rhai is optimized for embedding, allowing developers to expose native... -
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lldap
Light LDAP implementation
lldap (Lightweight LDAP) is a simplified and modern LDAP server implementation designed to provide directory services with minimal complexity and easier configuration compared to traditional LDAP solutions. It focuses on delivering essential LDAP functionality while avoiding the heavy operational overhead commonly associated with enterprise-grade directory servers. Written in Rust, lldap benefits from strong memory safety guarantees and performance efficiency, making it suitable for... -
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min-sized-rust
How to minimize Rust binary size
min-sized-rust is a practical, research-oriented repository that demonstrates how to aggressively reduce the size of compiled Rust binaries through a combination of compiler flags, linker optimizations, and code-level techniques. By default, Rust prioritizes performance, debuggability, and compile speed, which often results in relatively large binaries, especially in debug mode or when including standard libraries. This project systematically explores how to invert those priorities, focusing... -
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AsmJit
Low-latency machine code generation
AsmJit is a low-level code generation library designed for dynamically creating machine code at runtime, enabling just-in-time (JIT) compilation for performance-critical applications. It provides a high-level API that abstracts away the complexity of writing raw assembly while still allowing fine-grained control over instruction generation. The library supports multiple architectures, including x86 and x64, making it versatile for cross-platform development. It is commonly used in... -
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qui
A fast, single-binary qBittorrent web UI
qui is a modern, lightweight web interface designed to manage qBittorrent instances with a strong focus on performance and automation. It is distributed as a single binary, which eliminates the need for complex installations or external dependencies, making deployment straightforward across different systems. The application allows users to control multiple qBittorrent instances from a centralized interface, streamlining torrent management workflows. It also integrates advanced automation... -
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Swap
Currency exchange rates library
Swap is a PHP library designed to retrieve and manage currency exchange rates from multiple providers through a unified and extensible interface. It acts as an abstraction layer over various exchange rate APIs such as Fixer, currencylayer, and European Central Bank data sources, allowing developers to switch providers or combine them without changing application logic. The library supports both real-time and historical exchange rates, making it suitable for financial applications that... -
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EvoAgentX
Self-evolving AI agent framework for automated workflows
EvoAgentX is an open source framework for building, evaluating, and continuously improving LLM-based agents and multi-agent workflows. It moves beyond static pipelines by introducing a self-evolving system where agents are automatically generated, tested, and optimised through iterative feedback. Developers can define goals in natural language, while the framework handles workflow creation, execution, and refinement. Its modular architecture supports layered components for agents, workflows,... -
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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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mini SWE-agent
The 100 line AI agent that solves GitHub issues
mini SWE-agent is a lightweight, minimalist AI-powered software engineering agent designed to autonomously solve GitHub issues and assist developers directly from the command line using large language models. Unlike more complex frameworks, it emphasizes simplicity and efficiency, consisting of roughly 100 lines of code while still achieving strong performance on benchmarks such as SWE-bench Verified, where it demonstrates competitive problem-solving capabilities. The agent operates by... -
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LitServe
Minimal Python framework for scalable AI inference servers fast
LitServe is a minimal Python framework designed for building custom AI inference servers with full control over how models are executed and served. It allows developers to define their own inference logic, making it suitable for complex systems such as multi-model pipelines, agents, and retrieval-augmented generation workflows. Unlike traditional serving tools that enforce rigid abstractions, LitServe focuses on flexibility by letting users control request handling, batching strategies, and... -
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dots.ocr
Multilingual Document Layout Parsing in a Single Vision-Language Model
dots.ocr is a cutting-edge multilingual document parsing system built on a unified vision-language model that combines layout detection, text recognition, and structural understanding into a single architecture. Unlike traditional OCR pipelines that rely on multiple specialized components, dots.ocr integrates these processes end-to-end, reducing error propagation and improving consistency across tasks. The model is designed to recognize virtually any human script, making it highly effective... -
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SemTools
Semantic search and document parsing tools for the command line
SemTools is an open-source command-line toolkit designed for document parsing, semantic indexing, and semantic search workflows. The project focuses on enabling developers and AI agents to process large document collections and extract meaningful semantic representations that can be searched efficiently. Built with Rust for performance and reliability, the toolchain provides fast processing of text and structured documents while maintaining low system overhead. SemTools can parse documents,... -
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hematite
A simple Minecraft written in Rust with the Piston game engine
Hematite is an experimental open-source project that attempts to reimplement aspects of the Minecraft game engine using the Rust programming language. Developed within the Piston ecosystem, the project serves primarily as a technical experiment exploring how Rust can be used to build complex game systems such as rendering, world simulation, and client architecture. Hematite aims to replicate core elements of Minecraft’s mechanics while leveraging Rust’s safety guarantees and modern... -
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Luck Perms
A permissions plugin for Minecraft servers
LuckPerms is a widely used open-source permissions management plugin for Minecraft servers that allows administrators to control what actions players can perform within the game. The plugin provides a flexible system for creating user groups, assigning permissions, and defining roles that determine access to commands, features, and gameplay mechanics. Designed for performance and scalability, LuckPerms can handle large multiplayer servers and complex permission hierarchies while maintaining... -
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OpenFang
Open-source Agent Operating System
OpenFang is an open-source agent operating system designed to orchestrate autonomous AI agents and workflows in a structured, production-oriented environment. Written primarily in Rust, the project focuses on building a high-performance runtime where multiple specialized agents can collaborate to complete complex computational or development tasks. It aims to move beyond simple chat-based agents by providing infrastructure for persistent agent memory, task coordination, and scalable... -
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MLX Engine
LM Studio Apple MLX engine
MLX Engine is the Apple MLX-based inference backend used by LM Studio to run large language models efficiently on Apple Silicon hardware. Built on top of the mlx-lm and mlx-vlm ecosystems, the engine provides a unified architecture capable of supporting both text-only and multimodal models. Its design focuses on high-performance on-device inference, leveraging Apple’s MLX stack to accelerate computation on M-series chips. The project introduces modular VisionAddOn components that allow image... -
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ANE Training
Training neural networks on Apple Neural Engine via APIs
ANE Training is an experimental research project that demonstrates how to train neural networks directly on Apple’s Neural Engine by leveraging reverse-engineered private APIs that are normally inaccessible to developers. The repository implements a from-scratch transformer training pipeline capable of running both forward and backward passes on ANE hardware without relying on CoreML, Metal, or GPU acceleration. It explores the internal software stack of the Apple Neural Engine by... -
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Megatron-LM
Ongoing research training transformer models at scale
Megatron-LM is a GPU-optimized deep learning framework from NVIDIA designed to train extremely large transformer-based language models efficiently at scale. The repository provides both a reference training implementation and Megatron Core, a composable library of high-performance building blocks for custom large-model pipelines. It supports advanced parallelism strategies including tensor, pipeline, data, expert, and context parallelism, enabling training across massive multi-GPU and... -
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Zvec
A lightweight, lightning-fast, in-process vector database
Zvec is an open-source, lightweight, in-process vector database designed to embed directly into applications and serve fast similarity search workloads without the overhead of a separate server process. Developed by Alibaba’s Tongyi Lab, it positions itself as the “SQLite of vector databases” by being easy to integrate, minimal in dependencies, and capable of handling high throughput with low latency on edge devices or small systems. Zvec excels at approximate nearest neighbor search and... -
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FireRedASR
Open-source industrial-grade ASR models
FireRedASR is an industrial-grade family of open-source automatic speech recognition models designed to provide high-precision speech-to-text performance across languages including Mandarin, English, and various Chinese dialects, achieving new state-of-the-art benchmarks on public test sets. The project includes multiple model variants to meet different application needs, such as high-accuracy end-to-end interaction using an encoder-adapter-LLM framework and efficient real-time recognition... -
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mapcn
Beautiful map components, 100% Free, Zero config, one command setup
mapcn is a research-oriented project centered on mapping continuous control in reinforcement learning to structured policies using neural networks. It explores how high-dimensional action spaces can be decomposed into structured primitives that can be learned, composed, and reused across different tasks. The core idea is to enable agents to generalize learned behavior by representing continuous control policies in a compact, interpretable form that preserves smoothness and controllability.... -
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F1 Race Replay
An interactive Formula 1 race visualisation and data analysis tool
F1 Race Replay is an interactive replay viewer that lets users watch and analyze recorded Formula 1 race sessions with precise control over camera angles, timing, and telemetry overlay, offering a rich experience beyond standard broadcast replays. It ingests official timing and positional data, then renders vehicle movements through track maps and 3D visualizations so fans, analysts, and engineers can review strategy, overtakes, tire degradation effects, and pit stop impacts in detail. Users... -
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GoDoxy
High-performance reverse proxy and container orchestrator
GoDoxy is a high-performance reverse proxy and container orchestrator tailored for self-hosting environments, blending automated routing with a user-friendly web interface and advanced traffic control. Written in Go, it automatically discovers services (like Docker containers) and generates routes based on configuration or container labels, letting you expose and secure apps with minimal manual routing. GoDoxy includes features like ACL control, automatic SSL certificate management with... -
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MicroQuickJS
Public repository of the Micro QuickJS Javascript Engine
MicroQuickJS (MQuickJS) is a compact JavaScript engine designed specifically for embedded systems where memory and storage are extremely limited. Its primary goal is to compile and run JavaScript programs using minimal RAM, making it suitable for microcontrollers and constrained devices that cannot host a full-featured runtime. The engine is intentionally small in ROM footprint while still providing practical performance comparable to lightweight desktop-grade embeddable engines in its...
