A feature rich Emacs (kickstarter) config for (neo)vi(m)mers Requirements · Installation · Available Commands · Contributing --- Welcome to Emacs-Kick, a feature-rich Emacs configuration designed for users familiar with Vim, Neovim, and Vi. With this setup, you don't need to leave behind your favorite terminal or tools like yazi, starship, lazygit, and lazydocker just to give Emacs a try.
That being said, some enhancements added compared to the original repo: :heavycheckmark: Possible to train in other languages :heavycheckmark: Hifigan added, allowing for faster inference at the cost of quality. :heavycheckmark: whisper-v3 added as a chooseable option for whisperx :heavycheckmark: Output conversion using RVC This is a fork of the repo originally located here: https://git.ecker.tech/mrq/ai-voice-cloning.
By Daniel Demmler, Thomas Schneider and Michael Zohner (ENCRYPTO, TU Darmstadt) in Network and Distributed System Security Symposium (NDSS'15). --- ABY efficiently combines secure computation schemes based on Arithmetic sharing, Boolean sharing, and Yao’s garbled circuits and makes available best-practice solutions in secure two-party computation.
It can be also used to convert your MQL4 code into MQL5 with minimum code changes. Projects implementing this framework: Multi-strategy advanced trading robot.
Naive linter for English prose for developers who can't write good and wanna learn to do other stuff good too. Important: Do not use this tool to be a jerk to other people about their writing.
Through my travels I've discovered it's possible to write a fully functional Terminal User Interface in BASH. The object of this guide is to document and teach the concepts in a simple way.
English| 简体中文 Official Website | Docs | Contribution Guide RuleGo is a lightweight, high-performance, embedded, orchestrable component-based rule engine built on the Go language. It can help you quickly build loosely coupled and flexible systems that can respond and adjust to changes in business requirements in real time.
Training and inference code for audio generation models Requires PyTorch 2.5 or later for Flash Attention and Flex Attention support. Development for the repo is done in Python 3.10.
Agentic Document Extraction (ADE), from your terminal. The ade command drives LandingAI's ADE v2 document APIs — parse turns visually complex documents (tables, figures, charts) into grounded markdown and elements; extract pulls schema-shaped fields with page-and-box evidence — and persists everything it produces in a local store (~/.ade), serving every read from it.
A sophisticated Neovim setup that combines LazyVim's powerful foundation with NvChad's polished UI components, creating a professional IDE-class experience with AI-powered coding, extensive language support (15+ languages), and advanced workflow automation. Perfect for developers seeking a unified environment for web development, backend systems, mobile apps, competitive programming, and real-time collaboration.