Search Results for "linux utilities" - Page 17

Showing 2100 open source projects for "linux utilities"

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  • 1
    Python Code Tutorials

    Python Code Tutorials

    The Python Code Tutorials

    Python Code Tutorials is a large educational repository that aggregates programming tutorials from the “The Python Code” website into a structured collection of Python projects and learning materials. The repository covers a wide range of programming topics including cybersecurity, networking, web scraping, machine learning, GUI development, and automation scripts. Each tutorial typically includes complete Python code examples and explanations that demonstrate how to build real tools and...
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  • 2
    rust-bert

    rust-bert

    Rust native ready-to-use NLP pipelines and transformer-based models

    rust-bert is a Rust-based implementation of transformer-based natural language processing models that provides ready-to-use pipelines for tasks such as text classification, summarization, and question answering. The project ports many capabilities of the Hugging Face Transformers ecosystem into the Rust programming language. It allows developers to run state-of-the-art NLP models like BERT, GPT-2, and DistilBERT directly within Rust applications while maintaining high performance and memory...
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  • 3
    Prometheus-Eval

    Prometheus-Eval

    Evaluate your LLM's response with Prometheus and GPT4

    Prometheus-Eval is an open-source framework designed to evaluate the outputs of large language models using specialized evaluator models known as Prometheus. The project provides tools, datasets, and scripts that allow developers and researchers to measure the quality of LLM responses through automated scoring rather than relying solely on human evaluators. It implements an “LLM-as-a-judge” approach in which a dedicated language model analyzes instruction–response pairs and assigns scores or...
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  • 4
    vim-ai

    vim-ai

    AI-powered code assistant for Vim. OpenAI and ChatGPT plugin for Vim

    vim-ai is an AI-powered assistant plugin for Vim and Neovim that brings language-model features directly into the editor. It allows users to generate code or text, edit selections in place, and carry on interactive chat-style conversations without leaving the terminal editing environment. The plugin is built around OpenAI-compatible APIs, which means it can work not only with OpenAI itself but also with compatible proxies and alternative providers. Its command set covers text completion,...
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  • 5
    KVCache-Factory

    KVCache-Factory

    Unified KV Cache Compression Methods for Auto-Regressive Models

    KVCache-Factory is an open-source research framework designed to explore and implement unified key-value cache compression techniques for autoregressive transformer models. In large language models, the key-value cache stores intermediate attention states that enable efficient token generation during inference, but these caches can consume large amounts of GPU memory when handling long contexts. KVCache-Factory provides a platform for implementing and evaluating multiple compression...
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  • 6
    Agent Development Kit (ADK) for Java

    Agent Development Kit (ADK) for Java

    An open-source, code-first Java toolkit

    Google’s Agent Development Kit for Java is an open-source toolkit that helps developers design, evaluate, and deploy advanced AI agents using the Java programming language. The framework follows a code-first approach that treats agent development as a structured software engineering task rather than a collection of prompt scripts. It provides abstractions and tools that allow developers to create agents capable of executing complex workflows, calling tools, and interacting with external...
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  • 7
    mllm

    mllm

    Fast Multimodal LLM on Mobile Devices

    mllm is an open-source inference engine designed to run multimodal large language models efficiently on mobile devices and edge computing environments. The framework focuses on delivering high-performance AI inference in resource-constrained systems such as smartphones, embedded hardware, and lightweight computing platforms. Implemented primarily in C and C++, it is designed to operate with minimal external dependencies while taking advantage of hardware-specific acceleration technologies...
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  • 8
    indie-hacker-tools-plus

    indie-hacker-tools-plus

    Here comes a selection of technology stacks and tool repositories

    Indie Hacker Tools Plus is an open-source curated repository designed to help independent developers discover practical tools, frameworks, and technology stacks for building and launching software products. The project acts as a structured collection of resources commonly used by indie hackers, including development frameworks, AI tools, deployment services, and marketing utilities. Instead of focusing on a single technology, the repository organizes many tools across different categories so...
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  • 9
    AI as Workspace

    AI as Workspace

    An elegant AI chat client. Full-featured, lightweight

    AI as Workspace, short for AI as Workspace, is an open-source AI client application that provides a unified interface for interacting with multiple large language models and AI tools within a single workspace environment. The platform is designed as a lightweight yet powerful desktop or web application that organizes AI interactions through structured workspaces. Instead of managing individual chat sessions separately, users can group conversations, artifacts, and tasks within customizable...
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  • 10
    PRIME

    PRIME

    Scalable RL solution for advanced reasoning of language models

    PRIME is an open-source reinforcement learning framework designed to improve the reasoning capabilities of large language models through process-level rewards rather than relying only on final outputs. The system introduces the concept of process reinforcement through implicit rewards, allowing models to receive feedback on intermediate reasoning steps instead of evaluating only the final answer. This approach helps models learn better reasoning strategies and encourages them to generate...
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  • 11
    Trail of Bits Skills Marketplace

    Trail of Bits Skills Marketplace

    Trail of Bits Claude Code skills for security research, vulnerability

    Trail of Bits Skills Marketplace is a specialized Claude Code skills marketplace built by the security research firm Trail of Bits that focuses on enhancing AI-assisted workflows for vulnerability discovery, testing, and secure development. The repository groups a set of plug-in skills tailored toward static analysis, code auditing, secure defaults detection, and other practices that matter in software security. Users can easily add the marketplace to a Claude Code environment, browse...
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  • 12
    Jesse

    Jesse

    An advanced crypto trading bot written in Python

    Jesse is an open-source AI agent framework designed to help developers build and orchestrate intelligent workflows that combine large language models (LLMs) with external tools, automation logic, and real-world actions. It acts as an agent manager where you can define tasks, contexts, and tool integrations so that AI reasoning is reliably connected to deterministic procedures like API calls, data retrieval, and task execution. Jesse emphasizes structured outputs, safety boundaries, and...
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  • 13
    Advanced RAG Techniques

    Advanced RAG Techniques

    Advanced techniques for RAG systems

    Advanced RAG Techniques is a comprehensive collection of tutorials and implementations focused on advanced Retrieval-Augmented Generation (RAG) systems. It is designed to help practitioners move beyond basic RAG setups and explore techniques that improve retrieval quality, context construction, and answer robustness. The repository organizes techniques into categories such as foundational RAG, query enhancement, context enrichment, and advanced retrieval, making it easier to navigate...
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  • 14
    From Java To Kotlin

    From Java To Kotlin

    Your Cheat Sheet For Java To Kotlin

    From Java to Kotlin is a practical guide for Android developers transitioning existing codebases and habits from Java to idiomatic Kotlin. Rather than simply showing syntax translations, it emphasizes Kotlin’s expressive features—null safety, extensions, data classes, sealed hierarchies, and higher-order functions—and how to apply them sensibly. Examples illustrate side-by-side Java and Kotlin snippets, revealing opportunities to reduce boilerplate and improve readability. The guide includes...
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  • 15
    Oboe

    Oboe

    Oboe is a C++ library that makes it easy to build high-performance

    oboe is a C++ library for building high-performance audio apps on Android, providing a unified, low-latency API over AAudio and OpenSL ES. It abstracts device and API-version differences so developers can focus on audio processing instead of platform quirks. The library emphasizes minimal latency and glitch-free playback/recording via tuned buffer strategies and callback-driven I/O. It supports features like floating-point audio, channel configuration, sample-rate negotiation, and stream...
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  • 16
    latexify

    latexify

    A library to generate LaTeX expression from Python code

    latexify_py converts small, math-heavy pieces of Python code into human-readable LaTeX that mirrors the intent of the computation, not just its surface syntax. It parses Python functions and expressions into an abstract syntax tree (AST), applies symbolic rewrites for common mathematical constructs, and then emits LaTeX that compiles cleanly in standard environments. Typical use cases include turning analytical utilities—like probability mass functions, activation formulas, or recurrence...
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  • 17
    Penzai

    Penzai

    A JAX research toolkit to build, edit, & visualize neural networks

    Penzai, developed by Google DeepMind, is a JAX-based library for representing, visualizing, and manipulating neural network models as functional pytree data structures. It is designed to make machine learning research more interpretable and interactive, particularly for tasks like model surgery, ablation studies, architecture debugging, and interpretability research. Unlike conventional neural network libraries, Penzai exposes the full internal structure of models, enabling fine-grained...
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  • 18
    Granite TSFM

    Granite TSFM

    Foundation Models for Time Series

    granite-tsfm collects public notebooks, utilities, and serving components for IBM’s Time Series Foundation Models (TSFM), giving practitioners a practical path from data prep to inference for forecasting and anomaly-detection use cases. The repository focuses on end-to-end workflows: loading data, building datasets, fine-tuning forecasters, running evaluations, and serving models. It documents the currently supported Python versions and points users to where the core TSFM models are hosted...
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  • 19
    Multimodal

    Multimodal

    TorchMultimodal is a PyTorch library

    This project, also known as TorchMultimodal, is a PyTorch library for building, training, and experimenting with multimodal, multi-task models at scale. The library provides modular building blocks such as encoders, fusion modules, loss functions, and transformations that support combining modalities (vision, text, audio, etc.) in unified architectures. It includes a collection of ready model classes—like ALBEF, CLIP, BLIP-2, COCA, FLAVA, MDETR, and Omnivore—that serve as reference...
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  • 20
    MetaCLIP

    MetaCLIP

    ICLR2024 Spotlight: curation/training code, metadata, distribution

    MetaCLIP is a research codebase that extends the CLIP framework into a meta-learning / continual learning regime, aiming to adapt CLIP-style models to new tasks or domains efficiently. The goal is to preserve CLIP’s strong zero-shot transfer capability while enabling fast adaptation to domain shifts or novel class sets with minimal data and without catastrophic forgetting. The repository provides training logic, adaptation strategies (e.g. prompt tuning, adapter modules), and evaluation...
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  • 21
    Theseus

    Theseus

    A library for differentiable nonlinear optimization

    Theseus is a library for differentiable nonlinear optimization that lets you embed solvers like Gauss-Newton or Levenberg–Marquardt inside PyTorch models. Problems are expressed as factor graphs with variables on manifolds (e.g., SE(3), SO(3)), so classical robotics and vision tasks—bundle adjustment, pose graph optimization, hand–eye calibration—can be written succinctly and solved efficiently. Because solves are differentiable, you can backpropagate through optimization to learn cost...
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  • 22
    Pearl

    Pearl

    A Production-ready Reinforcement Learning AI Agent Library

    Pearl is a production-ready reinforcement learning and contextual bandit agent library built for real-world sequential decision making. It is organized around modular components—policy learners, replay buffers, exploration strategies, safety modules, and history summarizers—that snap together to form reliable agents with clear boundaries and strong defaults. The library implements classic and modern algorithms across two regimes: contextual bandits (e.g., LinUCB, LinTS, SquareCB, neural...
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  • 23
    GenAI Processors

    GenAI Processors

    GenAI Processors is a lightweight Python library

    GenAI Processors is a lightweight Python library for building modular, asynchronous, and composable AI pipelines around Gemini. Its central abstraction is the Processor, a unit of work that consumes an asynchronous stream of parts (text, images, audio, JSON) and produces another stream, making it natural to chain operations and keep everything streaming end-to-end. Processors can be composed sequentially (to build multi-step flows) or in parallel (to fan-out work and merge results), which...
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  • 24
    PowerUpSQL

    PowerUpSQL

    A PowerShell toolkit for attacking SQL Server

    PowerUpSQL is a PowerShell toolkit focused on auditing, discovering, and post-exploitation activities for Microsoft SQL Server environments. It bundles a wide range of functions that help enumerate SQL Server instances, configuration settings, and potentially risky features so operators and testers can quickly understand an instance's security posture. The project is aimed at internal penetration testers and red-teamers but is also useful for database administrators and defenders who want to...
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  • 25
    Cpp17

    Cpp17

    Chinese translation of C++17 The Complete Guide

    The repository is a Chinese translation of “C++17: The Complete Guide”, a comprehensive reference book originally by Nicolai M. Josuttis, adapted for learners and developers who prefer reading in Chinese. It includes a full LaTeX source, Markdown drafts, and compiled PDF/EPUB versions, allowing readers to either consume the translated text or regenerate formatted outputs themselves. The content is organized into multiple parts: basic language features (e.g. structured binding, inline...
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