Search Results for "ai for linux command" - Page 92
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Showing 21583 open source projects for "ai for linux command"
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HackerRepo.org
Collection of cybersecurity-related references, scripts, tools, code
HackerRepo is a massive curated repository that aggregates thousands of cybersecurity, ethical hacking, and digital forensics resources into a single structured knowledge base. The project is designed as a companion learning hub for security professionals, penetration testers, and researchers who want organized access to tools, references, and training material. It spans both offensive and defensive security topics, including exploit development, threat hunting, reverse engineering, AI... -
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Magit
A Git porcelain inside Emacs
Magit is a complete text-based user interface to Git. It fills the glaring gap between the Git command-line interface and various GUIs, letting you perform trivial as well as elaborate version control tasks with just a couple of mnemonic key presses. Magit looks like a prettified version of what you get after running a few Git commands but in Magit every bit of visible information is also actionable to an extent that goes far beyond what any Git GUI provides and it takes care of... -
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cargo watch
Watches over your Cargo project's source
Cargo Watch watches over your project's source for changes and runs Cargo commands when they occur. Create your own watching tool. From presenting different options, to customizing the filtering, to responding differently than running commands, to answering other events. -
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ResoRefine-AI
Free AI Audio Enhancer & Noise Reduction tool for Windows.
ResoRefine Pro is a free AI noise removing and audio enhancing tool built for podcasters, YouTubers, and indie creators to get pristine audio without recurring fees. Just drop in a noisy, echoing recording, click "Render," and instantly get a broadcast-ready .wav file. •Free AI Enhancer: Zero subscriptions. Get unlimited, uncompressed WAV file exports. •100% Private & Offline: Your audio never goes to the cloud. It processes entirely locally via AI engine. •Remove Noise & Echo:... -
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Ollama Telegram Bot
Ollama Telegram bot, with advanced configuration
Ollama Telegram Bot is a Python-based Telegram bot that enables users to interact with locally hosted large language models through a familiar messaging interface. The project is designed to provide a simple but configurable way to bring AI chat capabilities into Telegram, supporting both individual and group conversations. It includes access control features such as user whitelists and admin roles, allowing fine-grained control over who can interact with the bot and manage its behavior. The... -
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Google Cloud Platform Python Samples
Code samples used on cloud.google
Google Cloud Platform Python Samples repository is a large, curated collection of Python code examples that demonstrate how to use a wide range of Google Cloud services in real-world scenarios. It serves as a practical companion to official documentation, providing runnable snippets that illustrate how to authenticate, configure environments, and interact with APIs across products such as storage, AI services, and data processing tools. The repository is organized into product-specific... -
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shimmy
Python-free Rust inference server
The shimmy project is a lightweight local inference server designed to run large language models with minimal overhead. Written primarily in Rust, the tool provides a small standalone binary that exposes an API compatible with the OpenAI interface, allowing existing applications to interact with local models without significant code changes. This compatibility enables developers to replace remote AI services with locally hosted models while keeping their existing software architecture... -
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AutoTrain Advanced
Faster and easier training and deployments
AutoTrain Advanced is an open-source machine learning training framework developed by Hugging Face that simplifies the process of training and fine-tuning state-of-the-art AI models. The project provides a no-code and low-code interface that allows users to train models using custom datasets without needing extensive expertise in machine learning engineering. It supports a wide range of tasks including text classification, sequence-to-sequence modeling, token classification, sentence... -
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MemoryOS
MemoryOS is designed to provide a memory operating system
MemoryOS is an open-source framework designed to provide a structured memory management system for AI agents and large language model applications. The project addresses one of the major limitations of modern language models: their inability to maintain long-term context beyond the limits of their prompt window. MemoryOS introduces a hierarchical memory architecture inspired by operating system memory management principles, allowing agents to store, update, retrieve, and generate information... -
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UCCL
UCCL is an efficient communication library for GPUs
UCCL is a high-performance GPU communication library designed to support distributed machine learning workloads and large-scale AI systems. The library focuses on enabling efficient data transfer and collective communication between GPUs during training and inference processes. It supports a variety of communication patterns including collective operations such as all-reduce as well as peer-to-peer transfers that are commonly used in modern machine learning architectures. UCCL is designed to... -
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Chitu
High-performance inference framework for large language models
Chitu is a high-performance inference engine designed to deploy and run large language models efficiently in production environments. The framework focuses on improving efficiency, flexibility, and scalability for organizations that need to run LLM inference workloads across different hardware platforms. It supports heterogeneous computing environments, including CPUs, GPUs, and various specialized AI accelerators, allowing models to run across a wide range of infrastructure configurations.... -
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Codex Skill Manager
macOS app to manage your Codex skills
CodexSkillManager is a native macOS application built with SwiftUI that provides a visual and user-friendly interface for managing local skills used by AI coding assistants like Codex and Claude Code. It allows users to browse, install, delete, and inspect both locally stored and remote skills (such as those from Clawdhub) without requiring manual file manipulation on disk, making it simpler to keep skills organized and up to date. The app renders skill descriptions from SKILL.md files... -
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Open Model Zoo
Pre-trained Deep Learning models and demos
Open Model Zoo is a large repository of high-quality pre-trained deep learning models and demonstration applications designed to work with the OpenVINO™ toolkit, offering a comprehensive starting point for a wide range of AI and computer vision workloads. It includes hundreds of models covering object detection, classification, segmentation, pose estimation, speech recognition, text-to-speech, and more, many of which are already converted into formats optimized for inference on CPUs, GPUs,... -
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Gitlab CLI
Ruby wrapper and CLI for the GitLab REST API
Gitlab CLI is a Ruby gem and CLI tool that wraps the REST API of GitLab (including self-hosted GitLab instances) to make automation, scripting and integration simpler. It provides a Ruby DSL that abstracts away direct HTTP calls, letting developers interact with GitLab’s API in idiomatic Ruby (creating projects, merge requests, listing users, etc.). In addition to the Ruby library, there is a command-line interface which enables many GitLab operations from the terminal (or scripts) without... -
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PydanticAI
Agent Framework / shim to use Pydantic with LLMs
When I first found FastAPI, I got it immediately. I was excited to find something so innovative and ergonomic built on Pydantic. Virtually every Agent Framework and LLM library in Python uses Pydantic, but when we began to use LLMs in Pydantic Logfire, I couldn't find anything that gave me the same feeling. PydanticAI is a Python Agent Framework designed to make it less painful to build production-grade applications with Generative AI. Built by the team behind Pydantic (the validation layer... -
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Vearch
A distributed system for embedding-based vector retrieval
Vearch is the vector search infrastructure for deep learning and AI applications. Vearch is a distributed vector storage and retrieval system which can be easily extended to billions scale. Vearch implements a high-performance, lockless real-time vector indexing subsystem that utilizes various optimization techniques to support millisecond vector update and retrieval. End-to-end one-click deployment. Through the module of the plugin, a complete default visual search system can be deployed... -
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This is a simple templatized C++ library for parsing command line arguments. The library provides a simple, flexible object-oriented interface to the command line that automates argument parsing, USAGE creation and type casting.
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IQuest-Coder-V1 Model Family
New family of code large language models (LLMs)
IQuest-Coder-V1 is a cutting-edge family of open-source large language models specifically engineered for code generation, deep code understanding, and autonomous software engineering tasks. These models range from tens of billions to smaller footprints and are trained on a novel code-flow multi-stage paradigm that captures how real software evolves over time — not just static code snapshots — giving them a deeper semantic understanding of programming logic. They support native long contexts... -
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OpenAI Harmony
Renderer for the harmony response format to be used with gpt-oss
Harmony is a response format developed by OpenAI for use with the gpt-oss model series. It defines a structured way for language models to produce outputs, including regular text, reasoning traces, tool calls, and structured data. By mimicking the OpenAI Responses API, Harmony provides developers with a familiar interface while enabling more advanced capabilities such as multiple output channels, instruction hierarchies, and tool namespaces. The format is essential for ensuring gpt-oss... -
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Memgraph
Open-source graph database, tuned for dynamic analytics environments
A high-performance, in-memory graph database designed for real-time analytics and complex network data processing. -
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GoShip
Opinionated Go/HTMX boilerplate with payments, emails, auth, etc.
An opinionated Go and HTMX boilerplate featuring payments, emails, authentication, and notifications. A Go + HTMX boilerplate with all the essentials for your SaaS, AI tools, or web apps. Start earning online quickly without the hassle. -
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mcrcon
Rcon client for Minecraft
mcrcon is console-based Minecraft rcon client for remote administration and server maintenance scripts. A remote console administration tool for Minecraft servers that enables automated server management via RCON protocol. -
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ScrapydWeb
Web app for Scrapyd cluster management
Web app for Scrapyd cluster management, with support for Scrapy log analysis & visualization. Make sure that Scrapyd has been installed and started on all of your hosts. Start ScrapydWeb via command scrapydweb. (a config file would be generated for customizing settings on the first startup.) Add your Scrapyd servers, both formats of string and tuple are supported, you can attach basic auth for accessing the Scrapyd server, as well as a string for grouping or labeling. You can select any... -
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Bento
Bento, the office suite that fits in a file
Bento is a local-first presentation tool packaged as a single self-contained HTML file. Each deck carries its own viewer, presenter, editor, fonts, images, charts, animations, and document data. It opens in a modern browser without an account or installer and rewrites its own embedded data when saved. The document model remains readable as plain JSON, making files portable, inspectable, and directly editable by AI agents. Bento includes morph transitions, speaker view, comments, motion... -
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Kaggle CLI
The official CLI to interact with Kaggle
Kaggle CLI is Kaggle’s official command-line interface for interacting with the Kaggle platform from a terminal. It lets users authenticate, search resources, download files, submit competition entries, manage datasets, work with models, run notebooks, and read discussion content without relying only on the web interface. The tool is useful for data scientists who want to automate Kaggle workflows inside scripts, CI jobs, notebooks, or reproducible local environments. It supports both...
