:crystal_ball: Tiny and blazing-fast fuzzy search in JavaScript
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A Flutter package used to update widget tree dynamically. Fair提供一整套Flutter动态化解决方案
- flutter
- dynamic-widget
- flutter-fair
- code-push
LEMP stack/LAMP stack/LNMP stack installation scripts for CentOS/Redhat Debian and Ubuntu
- lemp
- lnmp
- lamp
- lnmpa
Set JSON values very quickly in Go
- json
:octocat: Github action to retrieve all (added, copied, modified, deleted, renamed, type changed, unmerged, unknown) files and directories.
- github
- changed-file
- modified
- actions
A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
Control Any Computer Using LLMs.
Automatically gets credentials for Amazon ECR on docker push/docker pull
Desafios para aprimorar habilidades de programação com foco em backend.
- backend-br
- challenges
- desafios
- backend
Block ads system-wide on Android using local VPN-based DNS filtering. No root needed. No data collection.
- blockads
- jetpack-compose
- kotlin
- android
A harness optimized to smaller LLMs
A better aria2 desktop frontend than AriaNg, with all features of AriaNg and providing more features for desktop usage.
- aria2
- download
- javascript
- html
YAD2K: Yet Another Darknet 2 Keras
A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.
Thinking notebook and Markdown editor.
A (WIP) Extremely fast JavaScript and TypeScript linter and Rust crate
All-in-one platform for search, recommendations, RAG, and analytics offered via API
- actix-web
- diesel
- postgresql
- qdrant
Advanced download manager for the Servarr ecosystem
- cleaner
- cleanup
- deluge
- qbittorrent
MambaOut: Do We Really Need Mamba for Vision? (CVPR 2025)
My Solutions to Leetcode problems. All solutions support C++ language, some support Java and Python. Multiple solutions will be given by most problems. Enjoy:) 我的Leetcode解答。所有的问题都支持C++语言，一部分问题支持Java语言。近乎所有问题都会提供多个算法解决。大家加油！：）
- algorithms
- algorithm-challenges
- algorithm-competitions
- interview-questions
Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS
📥 Homebrew (un)installer
- homebrew
- ruby
- install
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.
- kv-cache
- llm-inference
- local-llm
- quantization
A modern, lightweight QuickPic Gallery with a fast, offline-first experience.
- mod
- android
- material-ui
- image-viewer