Search Results for "linux performance booster" - Page 82

Showing 6284 open source projects for "linux performance booster"

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  • 1
    LLM-Finetuning

    LLM-Finetuning

    LLM Finetuning with peft

    LLM-Finetuning is an open educational repository that provides practical notebooks and tutorials for fine-tuning large language models using modern machine learning frameworks. The project focuses on parameter-efficient fine-tuning methods such as LoRA and QLoRA, which allow large models to be adapted to new tasks without requiring full retraining. Instead of requiring specialized hardware or complex training pipelines, many examples are designed to run in cloud notebook environments such as...
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  • 2
    VLMEvalKit

    VLMEvalKit

    Open-source evaluation toolkit of large multi-modality models (LMMs)

    VLMEvalKit is an open-source evaluation toolkit designed for benchmarking large vision-language models that combine visual understanding with natural language reasoning. The toolkit provides a unified framework that allows researchers and developers to evaluate multimodal models across a wide range of datasets and standardized benchmarks with minimal setup. Instead of requiring complex data preparation pipelines or multiple repositories for each benchmark, the system enables evaluation...
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  • 3
    LMOps

    LMOps

    General technology for enabling AI capabilities w/ LLMs and MLLMs

    LMOps is a research initiative and open-source toolkit focused on the development and operational management of AI applications built with large language models and generative AI systems. The project explores the technologies and methodologies required to move foundation models from research environments into production-grade AI products. It includes experimental tools and frameworks that help developers optimize prompts, design workflows for generative models, and manage the lifecycle of...
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  • 4
    Situation Monitor

    Situation Monitor

    Real-time dashboard for monitoring global news and markets

    Situation Monitor is an open-source real-time dashboard designed to aggregate and visualize global information streams related to news, financial markets, technology, and geopolitical developments. The project aims to provide a centralized situational awareness interface where users can observe multiple sources of high-signal information without constantly switching between separate applications or websites. Instead of functioning as a traditional news reader, the platform is designed more...
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  • 5
    CodeGen

    CodeGen

    Open-source model for program synthesis

    CodeGen is a family of open-source large language models designed specifically for program synthesis and code generation tasks. Developed by Salesforce Research, the models are trained on large datasets containing both natural language and programming language content. This allows them to translate natural language descriptions into functional code across a variety of programming languages. CodeGen supports multi-turn program synthesis, meaning it can generate complex programs through a...
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  • 6
    Llama-Chinese

    Llama-Chinese

    Llama Chinese community, real-time aggregation

    Llama-Chinese is an open source community initiative focused on adapting and improving Meta’s LLaMA language models for Chinese language applications. The project aggregates datasets, research resources, tutorials, and tools that help developers train and fine-tune LLaMA-based models with Chinese linguistic capabilities. It also provides optimized versions of LLaMA models trained on large-scale Chinese datasets to improve performance in tasks such as translation, summarization, and...
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  • 7
    Nordcraft

    Nordcraft

    Packages that are used internally by the Nordcraft engine

    Nordcraft is an open source Web Development Engine that combines visual design tools, a reactive front-end framework, server-side rendering, and full programming capabilities in a unified platform aimed at streamlining modern web app creation. It offers a visual editor that lets designers and developers collaborate closely, making it possible to build, preview, and modify interfaces without constantly switching between code and browser views. The engine supports versioning, reactive signals,...
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  • 8
    OceanBase seekdb

    OceanBase seekdb

    The AI-Native Search Database

    seekdb is an AI-native search database from OceanBase that unifies vector, full-text, relational, JSON, and GIS data into a single query engine. The system is designed to support hybrid search workloads and in-database AI workflows without requiring multiple specialized databases. It enables developers to perform semantic search, keyword search, and structured SQL queries within the same platform, simplifying modern AI application stacks. seekdb also embeds AI capabilities directly in the...
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  • 9
    grafana-dashboards-kubernetes

    grafana-dashboards-kubernetes

    A set of modern Grafana dashboards for Kubernetes

    grafana-dashboards-kubernetes is a curated collection of modern Grafana dashboards tailored specifically for monitoring Kubernetes clusters using Prometheus-based metrics. The project aims to provide clear, practical visualizations that help DevOps teams quickly understand cluster health, workload behavior, and infrastructure performance. Rather than attempting to expose every possible metric, the dashboards are designed to be operationally useful and easy to navigate during day-to-day...
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  • 10
    Statsviz

    Statsviz

    Visualize Go runtime metrics in real time

    Statsviz is a Go library that provides real-time visualization of Go runtime metrics through an embedded web dashboard. By registering HTTP handlers in an application, developers can instantly expose live charts showing heap usage, garbage collection activity, goroutines, scheduler behavior, and other runtime statistics. The system streams metrics to the browser via WebSocket, enabling near-real-time updates with minimal overhead. statsviz is designed to integrate easily into existing Go...
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  • 11
    WGCLOUD

    WGCLOUD

    Visibility into servers, applications, and infrastructure

    WGCLOUD is a distributed operations and maintenance monitoring platform designed to provide comprehensive visibility into servers, applications, and infrastructure through a lightweight yet highly integrated architecture. Built on a Spring Boot microservices foundation with an agent-server model, the system emphasizes rapid deployment, minimal configuration overhead, and automated operation for large-scale environments. It collects extensive host metrics such as CPU usage, temperature,...
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  • 12
    micrograd

    micrograd

    A tiny scalar-valued autograd engine and a neural net library

    micrograd is a tiny, educational automatic differentiation engine focused on scalar values, built to show how backpropagation works end to end with minimal code. It constructs a dynamic computation graph as you perform math operations and then computes gradients by walking that graph backward, making it an approachable “from scratch” autograd reference. On top of the core autograd “Value” concept, the project includes a small neural network library that lets you define and train simple...
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  • 13
    Pinchtab

    Pinchtab

    High-performance browser automation bridge and orchestrator

    Pinchtab is a lightweight browser automation backend built specifically for AI agents that need efficient, programmatic web control. Implemented as a small standalone HTTP server, it allows any agent or script to interact with web pages using simple API calls instead of heavyweight browser frameworks. The tool emphasizes accessibility-first snapshots that dramatically reduce token usage compared to screenshot-based approaches, making it cost-effective for large-scale automation. It launches...
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  • 14
    Oat UI

    Oat UI

    Ultra-lightweight, zero dependency, semantic HTML, CSS, JS UI library

    Oat is an ultra-lightweight front-end UI library designed to automatically style semantic HTML using minimal CSS and JavaScript with zero external dependencies. The project focuses on simplicity and performance, allowing developers to create clean, modern interfaces without relying on heavy frameworks or complex build systems. Oat works by applying sensible default styling directly to standard HTML elements, meaning developers can achieve polished layouts with little to no custom classes....
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  • 15
    MemOS

    MemOS

    AI memory OS for LLM and Agent systems

    MemOS is an experimental operating system and runtime built around the concept of memory-centric computing, where memory objects are first-class citizens and program execution is organized around efficient, persistent memory access rather than traditional process and file system boundaries. The project explores rethinking system abstractions by tightly coupling computation with memory objects so that programs can operate on large datasets without expensive serialization or context switching....
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  • 16
    Qwen3-ASR

    Qwen3-ASR

    Qwen3-ASR is an open-source series of ASR models

    Qwen3-ASR is an automatic speech recognition system in the QwenLM family, developed to convert spoken language into text with strong accuracy and real-time performance. As a specialized ASR variant of the broader Qwen language model ecosystem, it focuses on capturing reliable transcriptions from audio sources such as recordings, live streams, or conversational inputs while supporting low latency use cases. The architecture combines advanced neural acoustic modeling with context-aware...
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  • 17
    AlohaMini

    AlohaMini

    Open-Source Dual-Arm Mobile Robot with Motorized Lift

    AlohaMini is a lightweight self-hostable productivity and note-taking platform designed to help individuals organize thoughts, tasks, and knowledge in a fast, minimal interface that avoids unnecessary complexity. It combines hierarchical notebooks, rich text editing, and tagging, allowing users to structure information the way they think and refine that structure over time. The platform focuses on speed and responsiveness, with a UI that loads instantly and feels smooth even on modest...
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  • 18
    TONL

    TONL

    TONL (Token-Optimized Notation Language)

    TONL is a cutting-edge data platform built around a production-ready serialization format designed to be both compact and powerful, combining human readability with performance features that make it suitable for large-scale applications and AI workflows. It provides a serialization format that significantly reduces token usage compared with traditional JSON, which can result in lower costs and more efficient prompt size utilization in LLM-driven systems. TONL isn’t just a format — it...
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  • 19
    ImAnim

    ImAnim

    Animation Engine for Dear ImGui

    ImAnim is a lightweight animation engine that brings modern motion capabilities to applications built with the Dear ImGui immediate-mode GUI framework. It lets developers add rich, smooth animations to user interface elements with minimal boilerplate, matching the responsive nature of ImGui without introducing heavy external dependencies. Support for a wide range of easing functions, tweens, and keyframe clips gives fine-grained control over value transitions like position, scale, opacity,...
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  • 20
    rep+

    rep+

    Burp-style HTTP Repeater for Chrome DevTools with built‑in AI

    rep+ is a lightweight browser extension for Chrome DevTools that brings a Burp Suite-style HTTP repeater directly into the developer console, enhanced with built-in AI to help explain requests and suggest tests. It captures HTTP traffic from the inspected page without needing a proxy, allowing users to replay, modify, and analyze individual requests with fine-grained control over headers, bodies, and methods. The tool offers hierarchical grouping, tagging, and filtering of captured requests...
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  • 21
    Gitmal

    Gitmal

    A static page generator for repos

    Gitmal is a static page generator that turns the contents of a Git repository into a clean, navigable HTML website, making it easier to share or showcase code outside of traditional Git hosting platforms. It reads repository metadata including files, commits, branches, and markdown, and produces a fully static set of pages with syntax-highlighted code, commit history, branch lists, and rendered documentation, so viewers can explore projects as if browsing a lightweight curated site. Designed...
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  • 22
    Spark TTS

    Spark TTS

    Spark-TTS Inference Code

    Spark TTS is an open-source, PyTorch-based text-to-speech inference system that leverages large language models to produce highly natural, intelligible speech from text input. It uses an efficient single-stream architecture where speech tokens are directly reconstructed from the predictions of an LLM, removing the need for external acoustic models or complex vocoders and making the generation pipeline cleaner and faster. The project supports zero-shot voice cloning, meaning it can imitate a...
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  • 23
    Bubble Lab

    Bubble Lab

    Open source workflow automation platform built for developers

    Bubble Lab is an open-source workflow automation platform written with TypeScript that lets developers build, run, and control complex workflow logic as native, typed code rather than trapping users inside proprietary visual nodes or opaque formats. It provides a visual “bubble” editor paired with real TypeScript generation so workflows are human-readable, shareable, debuggable, and production-ready, giving teams the flexibility to treat automations like real software artifacts you can...
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  • 24
    Secluso

    Secluso

    Privacy-preserving home security camera using end-to-end encryption

    Secluso is an open-source, privacy-focused home security camera system that uses advanced end-to-end encryption to protect video data from unauthorized access. Unlike many commercial smart cameras that send footage to cloud servers where providers can potentially access it, Secluso encrypts video streams directly on the camera before they are relayed, ensuring that only the user’s mobile app can view recorded or live content. The design splits responsibilities across distinct components: a...
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  • 25
    MiniRAG

    MiniRAG

    Making RAG Simpler with Small and Open-Sourced Language Models

    MiniRAG is a lightweight retrieval-augmented generation tool designed to bring the benefits of RAG workflows to smaller datasets, edge environments, and constrained compute settings by simplifying embedding, indexing, and retrieval. It extracts text from documents, codes, or other structured inputs and converts them into embeddings using efficient models, then stores these vectors for fast nearest-neighbor search without requiring huge databases or separate vector servers. When a query is...
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