Search Results for "linux utilities" - Page 19

Showing 2193 open source projects for "linux utilities"

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  • 1
    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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  • 2
    ZAPI

    ZAPI

    ZAPI by Adopt AI is an open-source Python library

    ZAPI is a developer-centric API framework that streamlines building, testing, and deploying APIs with strong type safety and minimal boilerplate, helping teams deliver backend services faster with fewer errors. It emphasizes a declarative router and schema model that uses types to define request and response formats, providing clear contracts for frontend and backend teams while automatically generating documentation. Zapi abstracts many repetitive tasks such as validation, authentication...
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  • 3
    SERA CLI

    SERA CLI

    A tool to use the Ai2 Open Coding Agents Soft-Verified Agents

    SERA CLI is a command-line tool created by AllenAI to enable developers to interact with the SERA (Soft-Verified Efficient Repository Agents) model family using Claude Code as the execution front end. It provides a convenient interface for deploying, testing, and using SERA models without needing to write scaffold code from scratch, acting as both a proxy and utility wrapper to simplify workflows that involve large agent models. Through sera-cli, users can connect to local or cloud-hosted...
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  • 4
    Christmas Tree

    Christmas Tree

    Just a simple Christmas tree, based on reddit story

    atree is a lightweight JavaScript library for managing and visualizing hierarchical tree data structures in a flexible and efficient way. It offers core abstractions for creating nodes, building parent–child relationships, and traversing trees with utilities for depth, breadth, and custom iteration strategies. Because tree structures are ubiquitous in computing—from file systems and organizational charts to DOM structures and evolutionary taxonomies—atree provides a reusable foundation for...
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  • 5
    PHP Map

    PHP Map

    PHP arrays and collections made easy

    Aimeos/Map is a lightweight PHP collection utility that makes working with arrays and array-like data much easier and more expressive by offering a fluent, object-oriented interface inspired by jQuery and Laravel collections. It wraps standard PHP arrays in a “Map” object, letting developers chain powerful methods for creating, transforming, filtering, sorting, and aggregating data without verbose boilerplate code. This approach improves readability and maintainability when dealing with...
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  • 6
    Ring UI

    Ring UI

    A collection of JetBrains Web UI components

    Ring-UI is a React component library created by JetBrains to provide a consistent, high-quality set of UI elements for building web applications with a polished and professional look and feel. It includes a comprehensive suite of components like buttons, dropdowns, modals, tabs, forms, tooltips, menus, and navigation elements that adhere to modern design principles and accessibility standards, making it easier for developers to deliver rich interactive experiences without reinventing core UI...
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  • 7
    Anomalib

    Anomalib

    An anomaly detection library comprising state-of-the-art algorithms

    Anomalib is an open-source deep learning library focused on anomaly detection and localization tasks, collecting state-of-the-art algorithms and tools under one modular framework. It provides implementations of leading anomaly detection methods drawn from current research, as well as a full set of utilities for training, evaluating, benchmarking, and deploying these models on both public and private datasets. Anomalib emphasizes flexibility and reproducibility: you can use its simple APIs to...
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  • 8
    Datumaro

    Datumaro

    Dataset Management Framework, a Python library and a CLI tool to build

    Datumaro is a flexible Python-based dataset management framework and command-line tool for building, analyzing, transforming, and converting computer vision datasets in many popular formats. It supports importing and exporting annotations and images across a wide variety of standards like COCO, PASCAL VOC, YOLO, ImageNet, Cityscapes, and many more, enabling easy integration with different training pipelines and tools. Datumaro makes it easy to merge datasets, split them into...
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  • 9
    HSharp

    HSharp

    HSharp is a library used to analyze markup language like HTML

    HSharp appears to be an experimental C#/.NET project exploring higher-level abstractions or helper patterns (the naming hints at “H#” as a layer or framework on top of C#). It groups together utilities, base classes, and conventions so that common app logic can be written faster and with less boilerplate. The repo acts as a sandbox for testing these patterns in real code, which is helpful if you want to see how the author structures services, models, or infrastructure concerns. Because it’s...
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  • 10
    Stable Diffusion Web UI Extensions

    Stable Diffusion Web UI Extensions

    Extension index for stable-diffusion-webui

    This repository serves as the official index used by the Stable Diffusion Web UI to discover and install extensions. It aggregates metadata for hundreds of community plugins—image utilities, ControlNet tools, upscalers, prompt helpers, animation suites—so users can browse and add capabilities directly from the UI. The index maintains short descriptions, tags, and repository links, enabling quick filtering by purpose or workflow. It also standardizes submission format so extension authors can...
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  • 11
    Fully Homomorphic Encryption

    Fully Homomorphic Encryption

    An FHE compiler for C++

    This repository gathers Google’s practical tooling for Fully Homomorphic Encryption (FHE), focused on making it possible to run computations on encrypted data without ever decrypting it. At its core is a “transpiler” that converts ordinary functions (typically written in a restricted subset of C++ or similar) into FHE circuits, plus backends that execute those circuits with different FHE libraries. The workflow usually mirrors normal software development: write and test a cleartext...
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  • 12
    clusterProfiler

    clusterProfiler

    A universal enrichment tool for interpreting omics data

    clusterProfiler is an R/Bioconductor package that provides a unified workflow for functional enrichment analysis to interpret high-throughput omics results. It supports both over-representation analysis and gene set enrichment analysis, letting you work with unranked gene lists or ranked statistics from differential pipelines. The package connects to multiple knowledge bases—such as Gene Ontology, KEGG, Reactome, Disease Ontology, MeSH and others—through a consistent interface so you can...
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  • 13
    Barter

    Barter

    Open-source Rust framework for building event-driven systems

    Barter is an open-source, Rust-based ecosystem of libraries for building high-performance, event-driven algorithmic trading systems—covering live trading, paper trading, and backtesting. It is designed for safety, speed, and flexibility in quantitative finance workflows. Use mock MarketStream or Execution components to enable back-testing on a near-identical trading system as live-trading. Centralised cache-friendly state management system with O(1) constant lookups using indexed data...
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  • 14
    Best-of Machine Learning with Python

    Best-of Machine Learning with Python

    A ranked list of awesome machine learning Python libraries

    This curated list contains 900 awesome open-source projects with a total of 3.3M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome! General-purpose machine learning and deep learning...
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  • 15
    Static Analysis Tools for PHP

    Static Analysis Tools for PHP

    Docker image that provides static analysis tools for PHP

    Docker image providing static analysis tools for PHP. The list of available tools and the installer is actually managed in the jakzal/toolbox repository. Docker image with quality analysis tools for PHP. To run the selected tool inside the container, you'll need to mount the project directory on the container with -v "$(pwd):/project". Some tools like to write to the /tmp directory (like PHPStan, or Behat in some cases), therefore it's often useful to share it between docker runs, i.e. with...
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  • 16
    Menubar Electron

    Menubar Electron

    High level way to create menubar desktop applications with electron

    ...The library makes it easy to build cross-platform utilities like clipboard managers, quick note popups, status displays, or background tools that users access from the bar icon without filling taskbars or docks. menubar handles the lifecycle of the UI window, system tray icon, and related events so developers can focus on the application logic rather than boilerplate integration.
    Downloads: 0 This Week
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  • 17
    Enterprise-Scale

    Enterprise-Scale

    The Azure Landing Zones (Enterprise-Scale) architecture

    Enterprise-Scale is a reference architecture and set of landing-zone blueprints for building large, governed Azure estates. It codifies recommended patterns—network topology, identity integration, subscription and resource organization, policy assignment, and guardrails—so enterprises can provision repeatable, secure, and compliant environments for workloads. The project supplies deployable artifacts (Bicep/ARM/Terraform modules, examples, and documentation) to accelerate consistent...
    Downloads: 1 This Week
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  • 18
    hyde Jekyll

    hyde Jekyll

    A front-end to Jekyll that parses C++ sources

    A front-end to Jekyll that parses C++ sources to produce and enforce out-of-line documentation. hyde is a utility that facilitates documenting C++. The tool is unique from existing documentation utilities. Many tools rely on documentation placed inline within the source as long-form comments. While these seem appealing at first blush, they suffer from two big drawbacks. First, there is nothing keeping the comments from falling out of sync with the elements they document. Secondly (and...
    Downloads: 8 This Week
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  • 19

    Windows Power Utilities

    Windows Power Utilities adds automation tools to Windows

    Utilities for Windows Power Users
    Downloads: 0 This Week
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  • 20
    Lobe UI

    Lobe UI

    An open-source UI component library for building AIGC web apps

    Lobe UI is an open source UI component library specifically designed for building AI-generated content (AIGC) web applications, offering a modern toolkit tailored to chatbots, AI interfaces, and intelligent systems. It is built with React and TypeScript and integrates closely with Ant Design, allowing developers to leverage familiar component patterns while extending them for AI-centric use cases. The library includes specialized components and configurations for handling features like...
    Downloads: 0 This Week
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  • 21
    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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  • 22
    face.evoLVe

    face.evoLVe

    High-Performance Face Recognition Library on PaddlePaddle & PyTorch

    face.evoLVe is a high-performance face recognition library designed for research and real-world applications in computer vision. The project provides a comprehensive framework for building and training modern face recognition models using deep learning architectures. It includes components for face alignment, landmark localization, data preprocessing, and model training pipelines that allow developers to construct end-to-end facial recognition systems. The repository supports multiple neural...
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  • 23
    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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  • 24
    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...
    Downloads: 0 This Week
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  • 25
    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...
    Downloads: 0 This Week
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