Search Results for "tiny-core-plus" - Page 78
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Showing 15974 open source projects for "tiny-core-plus"
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Auto Synced & Translated Dubs
Automatically translates the text of a video based on a subtitle file
Auto-Synced-Translated-Dubs is a toolchain that automatically translates and re-dubs videos using AI voices while keeping the new speech aligned to the original timing via subtitle files. It assumes you have a human-made SRT (or similar) subtitle file; the script then uses translation services such as Google Cloud or DeepL to generate translated subtitle tracks in one or more target languages. Using the timestamps of each subtitle line, it computes the required duration of each spoken... -
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Vue Admin Better
Vue admin, vue3 admin, vue3.0 admin
Vue Admin Better is a configurable administrative dashboard framework built around the Vue ecosystem. The main repository uses Vue 2 and Element UI, while related editions support Vue 3, Element Plus, and Arco Design. It includes more than 40 ready-made pages for common administrative interfaces. Permission management combines RBAC with JWT and supports either front-end or back-end controlled routing. More than 50 global configuration options cover layouts, themes, behavior, and application preferences. Its Axios layer supports multiple data sources, several success codes, and different request formats. ... -
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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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D4RL
Collection of reference environments, offline reinforcement learning
D4RL (Datasets for Deep Data-Driven Reinforcement Learning) is a benchmark suite focused on offline reinforcement learning — i.e., learning policies from fixed datasets rather than via online interaction with the environment. It contains standardized environments, tasks and datasets (observations, actions, rewards, terminals) aimed at enabling reproducible research in offline RL. Researchers can load a dataset for a given task (e.g., maze navigation, manipulation) and apply their algorithm... -
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pangu.py
Paranoid text spacing in Python
pangu.py is a Python port of the Pangu spacing tool that automatically inserts proper whitespace between CJK characters and Latin letters, numbers, or symbols. Mixed-script text often becomes cramped or ambiguous, and this library applies simple but effective typography rules to make it instantly more readable. It works both as a Python library and a command-line utility, so you can process strings in code, tidy files in bulk, or wire it into documentation and build pipelines. The... -
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NeuMan
Neural Human Radiance Field from a Single Video (ECCV 2022)
NeuMan is a reference implementation that reconstructs both an animatable human and its background scene from a single monocular video using neural radiance fields. It supports novel view and novel pose synthesis, enabling compositional results like transferring reconstructed humans into new scenes. The pipeline separates human/body and environment, learning consistent geometry and appearance to support animation. Demos showcase sequences such as dance and handshake, and the code provides... -
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CausalImpact
An R package for causal inference in time series
...Its goal is to estimate the effect of an intervention (e.g. a marketing campaign, policy change) on a time series outcome by predicting what would have happened in a counterfactual “no intervention” world. The package requires as input a response time series plus one or more control (covariate) time series that are assumed unaffected by the intervention, and it divides the time horizon into “pre-intervention” and “post-intervention” periods. It uses Bayesian modeling to fit a structural time series to the pre-period and extrapolate a counterfactual prediction for the post period, then compares observed vs predicted to infer the causal effect. ... -
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rehype
HTML processor powered by plugins part of the @unifiedjs collective
...We call those programs plugins. Plugins inspect and change trees. You can use the many existing plugins or you can make your own. You can use rehype for many different things. unified is the core project that transforms content with ASTs. rehype adds support for HTML to unified. hast is the HTML AST that rehype uses. Depending on the input you have and output you want, you can use different parts of rehype. If the input is HTML, you can use rehype-parse with unified. If the output is HTML, you can use rehype-stringify with unified If both the input and output are HTML, you can use rehype on its own. -
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OpenKnowledge
Beautiful, AI-native markdown editor and LLM Wiki
OpenKnowledge is an AI-native Markdown editor and LLM wiki for knowledge bases, specs, notes, and agent-friendly documentation. It is designed to make Markdown editing feel closer to a visual document editor while still preserving file-based workflows. The app supports a macOS desktop experience as well as a local web and CLI workflow for other platforms. It includes file navigation, search, tabs, wiki graph viewing, rich components, embeddable HTML, and terminal-oriented access. It... -
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Claude Code Skills & Plugins Hub
270+ Claude Code plugins with 739 agent skills
Claude Code Plugins Plus Skills is a large open-source ecosystem of plugins and AI “skills” designed to extend the capabilities of Claude Code development agents. The repository functions as a marketplace-style collection of hundreds of plugins and specialized skills that enable Claude Code to perform complex development, automation, and operational tasks. -
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skills
The open agent skills tool - npx skills
skills is a CLI that turns “agent skills” into a portable, installable ecosystem, letting developers add reusable instruction sets to many different coding agents from a single command. Instead of hardcoding prompts per tool, it standardizes skills as SKILL.md files with structured metadata so they can be discovered, listed, installed, updated, and version-tracked consistently. The CLI supports pulling skills from common git sources, including GitHub shorthand, full URLs, direct paths inside... -
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Preguntas de entrevista para React
Questions about React for job interviews
Preguntas de entrevista para React is a comprehensive Spanish-language resource containing typical React interview questions organized from beginner to expert level. The repository is not just a list of questions: it includes detailed explanations in Spanish, making it useful as both an interview prep guide and a deeper learning reference.The content is structured in sections (beginner, intermediate, expert), covering everything from “What is React?” and JSX basics to advanced topics such as... -
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Crash-Course-Computer-Science-Chinese
Computer Crash Course (40 complete episodes)
Crash-Course-Computer-Science-Chinese is a translation and subtitle project for the full 40-episode Crash Course Computer Science series. It offers high-quality Chinese subtitles (including a “refined” or “proofread” edition) for each episode, making the series more accessible to Chinese-speaking learners. The repository links directly to video uploads on platforms like Bilibili and provides the subtitle text both as a single combined file and as separate files per episode. Beyond subtitles,... -
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react-highlight-words
React component to highlight words within a larger body of text
react-highlight-words renders text with specified substrings highlighted, useful for search results, find-in-page UIs, and autocomplete menus. You pass a string (or node tree) and an array of search terms, and the component splits content into matched and unmatched chunks with minimal overhead. It supports case-sensitive or insensitive matching and optional auto-escaping so user-entered queries won’t be treated as regex. For advanced scenarios, you can provide a custom findChunks function to... -
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Ahoy
Simple, powerful, first-party analytics for Rails
Ahoy is a first-party analytics library built primarily for Ruby on Rails, designed to let applications track visits and events in a clean, integrated way rather than relying on third-party tooling. It stores data in your own database by default, which gives developers full control over what data is captured, how it's processed, and how it’s used, sidestepping privacy concerns of external analytics providers. The library supports Rails, JavaScript, and native apps, making it flexible across... -
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CogView4
CogView4, CogView3-Plus and CogView3(ECCV 2024)
CogView4 is the latest generation in the CogView series of vision-language foundation models, developed as a bilingual (Chinese and English) open-source system for high-quality image understanding and generation. Built on top of the GLM framework, it supports multimodal tasks including text-to-image synthesis, image captioning, and visual reasoning. Compared to previous CogView versions, CogView4 introduces architectural upgrades, improved training pipelines, and larger-scale datasets,... -
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Actionbook
Browser action engine for AI agents. 10× faster, resilient by design
Actionbook is an AI-centric automation framework that equips intelligent agents with the ability to interact with real live web pages in a reliable and scalable way, eliminating the guesswork involved in navigating modern dynamic sites. Instead of having agents blindly scrape HTML or blindly try to click things, Actionbook supplies up-to-date action manuals and verified DOM structure, letting agents know exactly how to click, type, and navigate complex interfaces such as SPAs or streaming... -
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CF-Workers-docker.io
Docker Warehouse Image Proxy Tool
CF-Workers-docker.io is a project by cmliu that sets up a proxy for Docker Hub (and potentially other container image registries) using Cloudflare Workers, effectively acting as a middle-man mirror to improve image pull reliability and speed in regions where direct access is degraded. The idea is to intercept registry requests, reroute or mirror them through a worker endpoint, and therefore bypass regional limitations or firewall blocks affecting official Docker registries. Users can deploy... -
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Prompt Engineering Techniques
Collection of tutorials for Prompt Engineering techniques
Prompt Engineering Techniques is a focused companion repository that teaches prompt engineering systematically, from fundamentals to advanced strategies. It contains around twenty-plus hands-on Jupyter notebooks, each dedicated to a specific technique such as basic prompt structures, prompt templates and variables, zero-shot prompting, few-shot prompting, chain-of-thought, self-consistency, constrained generation, role prompting, task decomposition, and more. The tutorials are designed to be practical; you can run them directly, examine the prompts, and see how small changes affect model behavior and quality. ... -
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Agentex
Open source codebase for Scale Agentex
...The repo focuses on structured experiments: standardized tasks, canonical tool interfaces, and logs that make it possible to compare models, prompts, and tool sets fairly. It also includes evaluation harnesses that capture success criteria and partial credit, plus traces you can inspect to understand where reasoning or tool use failed. The design encourages clean separation between experiment configuration and code, which makes sharing results or re-running baselines straightforward. Teams use it to progress from prototypes to production-ready agent behaviors by iterating on prompts, adding tools, and validating improvements with consistent metrics. -
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LLM Course
Course to get into Large Language Models (LLMs)
LLM Course is a hands-on, notebook-driven path for learning how large language models work in practice, from data curation to training, fine-tuning, evaluating, and deploying. It emphasizes reproducible experiments: each step is demonstrated with runnable code, clear dependencies, and references to commonly used open-source models and libraries. Learners get exposure to multiple adaptation strategies—LoRA/QLoRA, instruction fine-tuning, and alignment techniques—so they can choose approaches... -
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Browser MCP
Browser MCP is a Model Context Provider (MCP) server
Browser MCP is an MCP server plus browser integration that lets AI apps automate the user’s real browser instead of launching a separate automation session. By adapting a Playwright-style approach to control the running browser profile, it reuses logged-in sessions and cookies, which reduces re-authentication friction and helps avoid some bot-detection heuristics. -
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Ovmeet
Video conferencing and collaboration platform
OvMeet is a video conferencing and collaboration platform developed in China that supports video meetings and H5 web/video live streaming. WebRTC, RTMP, SIP, RTSP, whiteboards, document presentation, file sharing, desktop sharing, recording, and more. The older version was built using Adobe/Flash, but that is no longer maintained. The newer version uses modern web technologies to deliver video conferencing services across Web, H5, Android, iOS, PC, etc. It also supports server... -
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Middleman
Hand-crafted frontend development
Middleman is a Ruby-powered static site generator that emphasizes clean templates, flexible layouts, and a great developer experience. It supports common templating languages (ERB, Haml, Slim) and content formats (Markdown, AsciiDoc), plus front-matter metadata to drive layouts, navigation, and per-page behavior. A built-in dev server with live reload keeps iteration fast, while an asset pipeline handles fingerprinting, minification, and cache-friendly builds. Extensions cover blogging, internationalization, sitemaps, data-driven pages, and external build steps, so complex sites remain manageable without server-side code. ... -
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kubectl-aliases
Programmatically generated handy kubectl aliases
kubectl-aliases is a small but extremely handy project that generates hundreds of shell aliases for kubectl so you no longer have to type long commands and flags repeatedly. It ships a prebuilt .kubectl_aliases file for Bash/Zsh, plus variants for Fish and Nushell, which you drop into your home directory and source from your shell config. The aliases are programmatically generated from permutations of common verbs, resources, flags, and options, so you get short forms like kgpo for kubectl get pod and more complex ones that include namespaces, label selectors, and output formats. ...
