Popular GitHub Repositories for Light Mode

? Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.

⚙️ All-in-One menu bar app, hide ?MacBook Pro's notch, dark mode, AirPods, Shortcuts

LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

A simple LLM client for Emacs

This is a resouce list for low light image enhancement

"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)

[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018

Jcseg is a light weight NLP framework developed with Java. Provide CJK and English segmentation based on MMSEG algorithm, With also keywords extraction, key sentence extraction, summary extraction implemented based on TEXTRANK algorithm. Jcseg had a build-in http server and search modules for lucene,solr,elasticsearch,opensearch

Enhance Images with Javascript and AI. Increase resolution, retouch, denoise, and more. Open Source, Browser & Node Compatible, MIT License.

Light-GPT is an interactive website project based on the GPT-3.5-Turbo Model.

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

Artemis - Interactive Learning with Automated Feedback

[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR

[CVPR2025] HVI: A New Color Space for Low-light Image Enhancement && "You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement"

“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.