Search Results for "linux performance booster" - Page 33
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Showing 6283 open source projects for "linux performance booster"
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Karpenter
Kubernetes Node Autoscaling: built for flexibility, and performance
Karpenter simplifies Kubernetes infrastructure with the right nodes at the right time. Karpenter automatically launches just the right compute resources to handle your cluster's applications. It is designed to let you take full advantage of the cloud with fast and simple compute provisioning for Kubernetes clusters. Karpenter responds quickly and automatically to changes in application load, scheduling, and resource requirements, placing new workloads on a variety of available compute... -
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Luau
Fast, small, safe, gradually typed embeddable scripting language
It is designed to be backward compatible with Lua 5.1, as well as incorporating some features from future Lua releases, but also expands the feature set (most notably with type annotations). Luau is largely implemented from scratch, with the language runtime being a very heavily modified version of Lua 5.1 runtime, with a completely rewritten interpreter and other performance innovations. The runtime mostly preserves Lua 5.1 API, so existing bindings should be more or less compatible with a... -
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SoftMaskForUGUI
Enhance Unity UI (uGUI) with advanced soft-masking features
SoftMaskForUGUI is a Unity package that adds smooth and flexible masking capabilities to the standard uGUI system. It extends traditional masks by supporting partially transparent and softened mask boundaries. Text, Image, and RawImage components can be used as masking graphics. Developers can combine multiple sprites, SpriteAtlas assets, nested masks, and ScrollRect content. The package works with overlay, camera-space, and world-space rendering and includes support for custom shaders and... -
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doc.rustdesk.com
Document of RustDesk
...It consolidates step-by-step guides for end users, administrators, and self-hosting teams, from client setup to server deployment and maintenance. The docs explain concepts like rendezvous versus relay roles, NAT traversal, security settings, and platform-specific nuances across Windows, macOS, Linux, and mobile. Clear navigation and task-oriented articles help readers move quickly from first-time installation to advanced troubleshooting. The project treats documentation as code, enabling version control, community contributions, and swift iteration alongside product releases. It also provides best practices around performance tuning, authentication choices, and network topology so organizations can run RustDesk confidently at scale. -
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Adminer
Database management in a single PHP file
Adminer (formerly phpMinAdmin) is a full-featured database management tool written in PHP. Conversely to phpMyAdmin, it consist of a single file ready to deploy to the target server. Adminer is available for MySQL, MariaDB, PostgreSQL, SQLite, MS SQL, Oracle, Elasticsearch, MongoDB and others via plugin. Replace phpMyAdmin with Adminer and you will get a tidier user interface, better support for MySQL features, higher performance and more security. Connect to a database server with username... -
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The Art of Debugging Open Book
The Art of Debugging Open Book
The Art of Debugging is an evolving open book that teaches systematic methods for finding and understanding difficult software problems. It focuses on both rapid diagnosis of common failures and strategies that make complicated bugs tractable. The repository combines methodology chapters with practical copy-and-paste recipes and tool recommendations. Dedicated material covers Unix debugging utilities, compiled programs, Python applications, and PyTorch workloads. Topics include tools such as... -
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TurboQuant PyTorch
From-scratch PyTorch implementation of Google's TurboQuant
TurboQuant PyTorch is a specialized deep learning optimization framework designed to accelerate neural network inference and training through advanced quantization techniques within the PyTorch ecosystem. The project focuses on reducing the computational and memory footprint of models by converting floating-point representations into lower-precision formats while preserving performance. It provides tools for experimenting with different quantization strategies, enabling developers to balance... -
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Ferrum
Headless Chrome Ruby API
Ferrum is a Ruby library that provides a high-level API for controlling Chrome or Chromium browsers using the Chrome DevTools Protocol. The project allows developers to automate browser interactions directly without relying on Selenium, WebDriver, or external drivers, which simplifies browser automation workflows. Ferrum runs in headless mode by default but can also be configured to run with a visible browser window for debugging and development purposes. The library communicates directly... -
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Codeflash
Optimize your code automatically with AI
Codeflash is a general-purpose optimizer for Python that uses advanced large language models (LLMs) to automatically generate, test, and benchmark multiple optimization ideas, then creates merge-ready pull requests with the best improvements for your code. Optimize an entire existing codebase by running codeflash --all. Automate optimizing all future code you will write by installing Codeflash as a GitHub action. Optimize a Python workflow python myscript.py end-to-end by running codeflash... -
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Frappe
Low code web framework for real world applications
Frappe is a full-stack, low-code web framework written in Python and JavaScript, used to build scalable and modular enterprise applications. It powers ERPNext and includes tools for REST APIs, user management, document modeling, workflows, and real-time updates. Frappe uses a "model-view-controller" approach with its own ORM and frontend system, enabling rapid development without sacrificing control or performance. -
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GritQL
GritQL is a query language for searching, linting, and modifying code
GritQL is a query language designed to facilitate human-AI collaboration by providing an intuitive interface for querying and retrieving structured data. It acts as a bridge between AI models and databases, enabling natural language interaction with structured data sources. -
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Telegram Drive
Telegram Drive
Telegram Drive is a powerful utility that enables you to organize your telegram files and much more. Teldrive stands out among similar tools, thanks to its implementation in Go, a language known for its efficiency. Its performance surpasses alternatives written in Python and other languages, with the exception of Rust. Teldrive not only excels in speed but also offers an intuitive user interface for efficient file interaction which other tool lacks. Its compatibility with Rclone further... -
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Elementary
Open-source data observability for analytics engineers
Elementary is an open-source data observability solution for data & analytics engineers. Monitor your dbt project and data in minutes, and be the first to know of data issues. Gain immediate visibility, detect data issues, send actionable alerts, and understand the impact and root cause. Generate a data observability report, host it or share with your team. Monitoring of data quality metrics, freshness, volume and schema changes, including anomaly detection. Elementary data monitors are... -
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Tunarr
Create a classic TV experience using your own media
Tunarr is a self-hosted media server that enables users to create custom live TV channels from existing media libraries such as Plex, Jellyfin, Emby, or local files. It allows users to organize content into scheduled or randomized channels that simulate traditional broadcast television experiences. The platform includes tools for building channel lineups, inserting filler content like commercials or music videos, and managing playback preferences. It provides integration with IPTV systems... -
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AI Engineering from Scratch
Learn it. Build it. Ship it for others
AI Engineering from Scratch is a comprehensive open-source curriculum designed to teach artificial intelligence by building every component from first principles rather than relying on prebuilt frameworks. The project is structured into more than 20 phases and hundreds of lessons, covering topics that range from foundational mathematics to advanced systems such as large language models, retrieval pipelines, and multi-agent architectures. Each lesson emphasizes hands-on implementation,... -
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Sunfish
Sunfish: a Python Chess Engine in 111 lines of code
sunfish is a minimalist yet surprisingly strong chess engine written in Python, designed to demonstrate how powerful algorithms can be implemented in a highly compact codebase. Despite being only around a hundred lines of core logic, the engine achieves competitive performance, reaching ratings above 2000 on online platforms. It implements classic chess engine techniques such as alpha-beta pruning and efficient board representation while maintaining readability and simplicity. The project is... -
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QOwnNotes
QOwnNotes is a plain-text file notepad and todo-list manager
QOwnNotes is a fully open-source markdown-focused note-taking and personal information manager that runs natively on Linux, macOS, and Windows, with a strong emphasis on plain-text storage and cross-device synchronization. Because all notes are stored as markdown files in user-controlled directories, you avoid vendor lock-in and can sync through services like Nextcloud, ownCloud, Dropbox, or Git without proprietary cloud dependency. The application is optimized for performance and minimal footprint, so it runs smoothly even with large note libraries, and it includes features like a live markdown preview panel that lets you see rendered text alongside raw markdown as you type. ... -
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MusicGPT
Generate music based on natural language prompts using LLMs
...The software allows users to run advanced music generation systems directly on their own devices without requiring heavy dependencies such as Python or full machine learning frameworks. Instead, it provides a lightweight environment capable of executing music generation models locally on CPUs or GPUs while maintaining strong performance across operating systems including Windows, macOS, and Linux. Users can describe a musical style, mood, or instrumentation using text prompts, and the system produces original audio samples based on those instructions. The application currently integrates with models such as MusicGen and is designed to support additional models transparently in the future. ... -
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libdatachannel
C/C++ WebRTC network library featuring Data Channels, Media Transport
libdatachannel is a C++ library that implements WebRTC DataChannels and ICE transports, enabling peer-to-peer communication without relying on media components. It is ideal for developers who want efficient, low-latency P2P communication for data transmission in IoT, multiplayer games, decentralized apps, or custom signaling architectures. Built for performance and minimalism, it allows fine-grained control over STUN, TURN, DTLS, and SCTP layers, with a clean and modern C++ interface. -
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Claude of Duty
A Call of Duty-quality FPS in Three.js, built from a single prompt
Claude of Duty is a browser-based first-person shooter built with Three.js and WebGL2 by an orchestrated fleet of AI coding agents. The project contains roughly 55,000 lines divided across 11 coordinated gameplay and rendering subsystems. It uses no conventional art or audio assets because textures, meshes, animations, weapons, effects, environments, and sounds are generated procedurally from code at runtime. Its systems cover advanced rendering, custom physics, movement, ballistics, enemy... -
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Python API for JMComic
Python crawler and API for downloading JMComic albums and images
JMComic-Crawler-Python is a Python library and crawler framework designed to programmatically access and download comic content from the JMComic platform. It provides a structured API that allows developers to retrieve albums, chapters, and images using simple Python code while handling the necessary network requests and data processing behind the scenes. It supports both web-based and mobile API interfaces, enabling flexible interaction with the platform depending on the available... -
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GPU Hot
Real-time NVIDIA GPU dashboard
GPU Hot is an open-source, lightweight monitoring dashboard designed to provide real-time visibility into NVIDIA GPU performance across single machines or entire clusters. The project offers a self-hosted web interface that streams hardware metrics directly from GPU servers, enabling developers, ML engineers, and system administrators to observe GPU utilization and system behavior in real time through a browser. The dashboard collects and displays a wide range of performance metrics... -
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Agentic Context Engine
Make your agents learn from experience
Agentic Context Engine (ACE) is an open-source framework designed to help AI agents improve their performance by learning from their own execution history. Instead of relying solely on model training or fine-tuning, the framework focuses on structured context engineering, allowing agents to accumulate knowledge from past successes and failures during task execution. The system treats context as a dynamic “playbook” that evolves over time through a process of generation, reflection, and... -
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The LLM Evaluation guidebook
Sharing both practical insights and theoretical knowledge about LLM
The Evaluation Guidebook is an open educational resource created by Hugging Face that explains how to evaluate machine learning and large language models effectively. It compiles practical insights and theoretical knowledge gathered from real-world evaluation work, including experience managing the Open LLM Leaderboard and designing evaluation tools. The guidebook teaches developers how to design evaluation pipelines, select appropriate metrics, and interpret model performance results. It... -
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Hallucination Leaderboard
Leaderboard Comparing LLM Performance at Producing Hallucinations
Hallucination Leaderboard is an open research project that tracks and compares the tendency of large language models to produce hallucinated or inaccurate information when generating summaries. The project provides a standardized benchmark that evaluates different models using a dedicated hallucination detection system known as the Hallucination Evaluation Model. Each model is tested on document summarization tasks to measure how often generated responses introduce information that is not...
