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一个好用的 PC 端的语音输入工具,支持热词、LLM处理。按下CapsLock或鼠标侧键X2,说话,松开自动上屏。
AI-driven, local-first quantitative trading platform for research, backtesting and live execution. Python-native, privacy-first, open source.
xishang0128 / sparkle
Forked from mihomo-party-org/clash-party:electron: Another Mihomo GUI. (🛠building...)
A simple Python Pydantic model for Honkai: Star Rail parsed data from the Mihomo API.
Xray panel supporting multi-protocol multi-user expire day & traffic & IP limit (Vmess, Vless, Trojan, ShadowSocks, Wireguard, Tunnel, Mixed, HTTP, Tun)
Utility to convert between various subscription format
TRAE Memory 是一个自动化增强版 MCP 服务器,面向 TRAE IDE 提供端到端的记忆与上下文管理能力。支持对 Builder/Chat/Terminal 的输入与完整对话进行标准化落盘,内置会话 Context 管理(自动保存、使用率监控与重置)、任务跟踪与统计、数据文件清理与归档等工具,并可通过环境变量自定义数据目录与 history.json 路径,保证多进程与多工作目录...
🎤 手机语音输入,电脑一键粘贴。配合微信输入法跨设备复制,让语音输入更高效。自动复制+自动清空,完美解决移动端输入痛点。Voice input on mobile, paste on PC instantly. Auto-copy tool with smart features for seamless cross-device text input. Perfect for WeChat...
Use GitHub Actions to automatically get Microsoft Edge offline installation package
rime 墨奇版 五笔整句输入方案 | 虎码整句输入方案。墨奇五笔整句|墨奇虎码整句|基于墨奇音形和白霜词库
Gemini ➜ OpenAI API proxy. Serverless!
一个基于 Microsoft Edge TTS 的免费在线语音合成服务,支持 20+ 种中文声音,一键将文字转换为自然流畅的语音。
Python adaptor for TradingView Lightweight Charts
Easy to add panes on a tradingview chart using whatever coding language.
Visualize Freqtrade strategy indicators and backtest data in TradingView-style lightweight charts. Easily analyze your trading bot’s performance by visualizing custom indicators, signals, and trades.
A ready-to-go translation ocr tool developed with WPF/WPF 开发的一款即用即走的翻译、OCR工具
This project aims to enhance the working environment on Windows
AI as Workspace - An elegant AI chat client. Full-featured, lightweight. Support multiple workspaces, plugin system, cross-platform, local first + real-time cloud sync, Artifacts, MCP | 更好的 AI 客户端
:electron: Another Mihomo GUI.
通过后台代理的方式从tradingview的demo中获取到charting_library库最新的代码(tradingview的charting_library有官方授权,本库仅限研究使用)
This tutorial explains step by step how to connect your data to the Charting Library cloned from tradingview with some changes
A simple implementation of lighweight charts v5 for python specifically for pyqt.