Search Results for "readme" - Page 3
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Showing 594 open source projects for "readme"
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Numix icon theme
Base icon theme from the Numix project
...It is heavily inspired by, and based upon parts of the Elementary, Humanity and Gnome icon themes. Numix is designed to be used along-side an application icon theme like Numix Circle or Numix Square. This readme provides information on installation and icon requests. Licensed under the GPL-3.0+ -
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GitFut
Your GitHub stats, turned into a World-Cup-style player card
...It also assigns an overall rating, position, archetype, country flag, and card finish based on the shape and strength of the profile data. The generated card can be embedded as a live image in a README, portfolio, or personal website. Built with Next.js, TypeScript, Tailwind, and Redis, it is both a fun developer identity tool and an example of social GitHub visualization. -
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KazumiRules
Kazumi's rule hosting repository
...The repository is organized around rule contribution rather than application code, making it a data and configuration companion to the main Kazumi app. Contributors are asked to submit or update only rule files, while generated files such as the index and README are updated automatically after merges. The rules support multiple API levels, with newer levels adding features such as POST requests, referer handling, legacy parser support, and HLS ad filtering. Its main value is providing a centralized, maintainable rule library that expands Kazumi’s content-source compatibility. -
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corroded
Set of utilities consisting of idiomatic and safe rust utilities
corroded is a Rust project that intentionally strips away Rust’s safety guarantees and idiomatic protections, offering utilities and patterns that prioritize raw power and freedom over the usual borrow checker enforcement or strict ownership rules. Its README and community reactions suggest a mix of satire and extreme experimentation: the project makes “unsafe” Rust easier to use by removing typical compile-time checks, pushing the language toward behavior more like C for cases where developers want total control. Although controversial, the code serves as an exploration of Rust internals and unsafe constructs, and it includes utilities intended to simplify memory management and pointer manipulation without safety checks. ... -
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Aprendiendo React
A course to learn React
Aprendiendo React is a project-based React course repository aimed at teaching React from scratch in Spanish, with a strong emphasis on building real applications. The README links each module to a corresponding YouTube class, covering topics such as React basics, hooks like useState and useEffect, data fetching and custom hooks, advanced hooks (useRef, useMemo, useCallback, useContext, useReducer, useId), routing, lazy loading, and React with TypeScript. The code is organized into a projects workspace, managed with pnpm and TypeScript configuration files, reflecting how modern React apps are actually structured in production. ... -
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Open Infra Index
Production-tested AI infrastructure tools
...Instead of a single monolithic codebase, it functions more like an index or launching point: linking and documenting a set of library repos (e.g. FlashMLA, DeepEP, DeepGEMM, 3FS, etc.) that together form DeepSeek’s infrastructure stack. The repo's README describes the project as sharing “humble building blocks” of their online service—code that is documented, deployed, and battle-tested in production. The timing of its opening matches DeepSeek’s “Open-Source Week” campaign (starting around February 2025) when they gradually released internal infrastructure components publicly. It is licensed under CC0-1.0 (Creative Commons Zero) to maximize openness. -
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CBIG
Computational Brain Imaging Group tools
CBIG is a comprehensive toolkit maintained by Thomas Yeo’s Computational Brain Imaging Group containing tools for processing and analyzing neuroimaging data—including fMRI preprocessing pipelines, brain parcellation algorithms, mental disorder subtyping models, fMRI dynamic models, registrations between brain spaces, and phenotypic prediction algorithms. After cloning/downloading this repository, please see README inside setup directory to see instructions on how to set up your local environment to be compatible with our repository. Brain parcellation tools (e.g., Yeo networks, Schaefer parcellations) for cortical mapping. -
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Numix Circle
Linux packaging for Numix Circle
Circle is an icon theme for Linux from the Numix project. This readme provides information on installation, icon requests and hardcoded icons. Licensed under the GPL-3.0+. If using this with our base icon theme make sure you install both parts using the same method. This makes sure that the panel icons keep working as intended. If you use Fedora, Debian, Ubuntu, Gentoo or any of their derivatives then you're sorted! -
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WorkerVless2sub
Automate batch replacement to generate subscription generators
...The tool supports both IPv4 and IPv6 node sources, speed test CSV inputs, and logic to drop nodes that don’t meet the threshold (DLS variable). It has a sizeable star count and forks indicating broader adoption in self-hosted proxy subscription communities. The README also explicitly warns about hosting personal private nodes in the script if intending public use. -
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CVPR 2025
Collection of CVPR 2025 papers and open source projects
...The list frequently highlights benchmarks, leaderboards, or notable results so readers can assess impact at a glance. Because conference content evolves rapidly, the repository is updated as authors release code or refine readme instructions, keeping the collection timely. For teams planning literature reviews, study groups, or rapid prototyping sprints, it acts as a central index to the year’s most relevant methods with working implementations. -
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LitterBox
A secure sandbox environment for malware developers and red teamers
...It provides an isolated environment to exercise payloads against modern detection stacks, verify signatures and heuristics, and observe runtime characteristics without leaking binaries to third-party vendors. The README frames typical use cases: testing evasion, validating detections, analyzing behavior, and keeping sensitive tooling in-house. Repo metadata and author pages highlight an active security-tools ecosystem around the maintainer, with CI and pull-request activity suggesting ongoing development. The project positions itself as a safe proving ground to reduce surprises in the field while minimizing operational risk. ... -
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Codex-5.5-codex-instruct-5.5
Prompt-injection utility aimed at modifying how Codex CLI behaves
...It claims to use an official configuration mechanism rather than binary modification, network interception, or process tampering. The project includes a Python script, an examples folder, assets, a README, and an MIT license. Its documentation also points users toward a newer visual project with desktop UI, provider switching, session management, and packaged installers. Because the stated purpose is to bypass safety restrictions, it should be treated as unsafe prompt-bypass research material rather than a normal developer productivity tool. -
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TypeUI DESIGN.md Extractor
Chrome extension to extract styles from any website
...The project automatically transforms raw Markdown documents into styled, GitHub-like rendered pages with enhanced typography, syntax highlighting, and layout improvements. It is designed to make technical documentation, README files, notes, and markdown-based content easier to consume without requiring external viewers or conversion tools. The extension supports local files and web-hosted Markdown documents while maintaining lightweight performance and seamless browser integration. Its design prioritizes simplicity and developer-friendly aesthetics, offering a cleaner reading experience for documentation-heavy workflows. ... -
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Docker-Zero-to-Hero
Repo to learn Docker with examples
...It starts by explaining what containers are in plain language, then compares containers vs virtual machines in terms of resource utilization, portability, security, and management. The README and supporting markdown files (commands.md, networking.md, volumes.md) walk through core Docker concepts like images, containers, networking, and persistent storage. Examples in the examples folder give you hands-on workloads to run so you can see how Docker behaves in real scenarios. The style is beginner-friendly and frequently uses analogies and screenshots to make abstract concepts more relatable, for instance contrasting the size of an Ubuntu container image to a full VM. ... -
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Rust Latam
Learn to write Rust procedural macros
This is a workshop/repository by the Rust developer David Tolnay (dtolnay) intended to teach how to write Rust procedural macros (derive macros, function-like macros, attribute macros). The repo contains multiple toy/realistic macro projects drawn from real use-cases: e.g., derive(Builder), derive(CustomDebug), seq!, #[sorted], #[bitfield]. The README indicates the focus is on learning: parsing token streams, generating code, handling generics, attribute arguments, etc. It has test harness and workflow guidance. Because procedural macros are quite subtle in Rust, this workshop is a strong resource for anyone wanting to go from beginner to intermediate/advanced macro writing. -
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The Web MCP
A powerful Model Context Protocol (MCP) server
Bright Data’s Web MCP server gives AI assistants robust, real-time web capabilities through an MCP interface designed to avoid blocks, rate limits, and CAPTCHAs. It presents search, crawl, navigate, and extraction tools that agents can call directly, replacing brittle scraping prompts with typed operations. The README markets it as a “gateway” to the live web so assistants don’t fall back to stale training data. Bright Data also advertises a getting-started tier with a free monthly allotment, plus options for remote or self-hosted operation depending on governance needs. Ecosystem materials and examples show how it plugs into MCP-capable runtimes and agent frameworks. ... -
17
CutLER
Code release for Cut and Learn for Unsupervised Object Detection
...The codebase provides training and inference scripts, model configs, and references to benchmarking results that report large gains over prior unsupervised baselines. It’s intended for researchers exploring self-supervised and unsupervised recognition, offering a practical path to scale beyond costly labeled corpora. The README links papers and gives a high-level overview of components and expected outputs, with pointers to demos and assets. The repository is actively starred and structured as a typical research release with license, contribution guidelines, and security policy. -
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OpenAPI.NET
Object model for OpenAPI documents in .NET
...Some developers have found the need to write processors that convert other data formats into this OpenAPI.NET object model. We'd like to curate that list of processors in this section of the readme. Converts standard .NET annotations ( /// comments ) emitted from your build (MSBuild.exe) into OpenAPI.NET document object. Converts the XML representation of the Entity Data Model (EDM) describing an OData Service into OpenAPI.NET document object. -
19
Etaoin
Pure Clojure Webdriver protocol implementation
...Automatically watch/refresh the browser when making edits to Babashka book. Generate contributor badges for rewrite-clj, cljdoc and test-doc-blocks via a doc-update-readme babashka task. -
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jsdoc-to-markdown
Generate markdown documentation from jsdoc-annotated javascript
Generates markdown API documentation from jsdoc annotated source code. Useful for injecting API docs into project README files. By default, dmd generates github-flavored markdown. Not all markdown parsers render gfm correctly. If your generated docs look incorrect on sites other than Github (e.g. npmjs.org) try enabling this option to disable Github-specific syntax. Two options to render parameter lists: 'list' or 'table' (default). Table format works well in most cases but switch to list if things begin to look crowded / squashed. ... -
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Amazon Braket Default Simulator
An implementation of a quantum simulator that you can run locally
...You can use the simulator to test quantum tasks that you construct for the Amazon Braket SDK before you submit them to the Amazon Braket service for execution. You must have the Amazon Braket SDK installed to use the local simulator. Follow the instructions in the README for setup. If you want to contribute to the project, be sure to run unit tests and get a successful result before you submit a pull request. The execution times for the performance tests are affected by the other processes running on the system. In order to get stable results, stop other applications when running these tests. -
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Laravel Fractal
An easy to use Fractal wrapper built for Laravel and Lumen
The package provides a nice and easy wrapper around Fractal for use in your Laravel applications. If you don't know what Fractal does, take a peek at their intro. Shortly said, Fractal is very useful to transform data before using it in an API. Transforming right from a Laravel collection is particularly useful for Eloquent results. You can transform directly from a Laravel collection as well. There's also a very short syntax available to quickly transform data. Lovers of facades will be... -
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CF-Workers-docker.io
Docker Warehouse Image Proxy Tool
...Users can deploy their own copy of this proxy, point their Docker daemon’s registry-mirrors configuration to it, and benefit from an accelerated and more accessible image pull experience. The project’s README warns about possible policy risks—since Cloudflare’s terms forbid use of Workers for VPN or similar proxy services, so users deploy at their own risk. It also includes instructions for setting up both Docker daemon and containerd/podman equivalents by customizing configuration files. -
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Diplomacy Cicero
Code for Cicero, an AI agent that plays the game of Diplomacy
...The repository includes training code, model checkpoints, and infrastructure for both language modelling (via the ParlAI framework) and reinforcement learning for strategy agents. It supports two variants: Cicero (which handles full “press” negotiation) and Diplodocus (a variant focused on no-press diplomacy) as described in the README. The codebase is implemented primarily in Python with performance-critical components in C++ (via pybind11 bindings) and is configured to run in a high‐GPU cluster environment. Configuration is managed via protobuf files to define tasks such as self-play, benchmark agent comparisons, and RL training. The project is now archived and read-only, reflecting that it is no longer actively developed but remains publicly available for research use. -
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Khazix Skills
Digital Life Kazik Open Source AI Skills Collection
Khazix Skills project is an automation framework designed to transform GitHub repositories into structured, reusable AI agent skills. It acts as a pipeline that analyzes a repository’s metadata, extracts relevant information such as README content and commit hashes, and converts it into a standardized skill format that can be integrated into agent ecosystems. The system emphasizes lifecycle management by embedding versioning, traceability, and metadata directly into generated skill files, allowing future updates and synchronization with the original repository. It also generates wrapper scripts that enable AI agents to interact with the underlying repository functionality without requiring deep manual integration. ...
