A JAX-native LLM Post-Training LibraryTunix: A JAX-native LLM Post-Training Library Tunix(Tune-in-JAX) is a JAX based library designed to streamline the post-training of Large Language Models. It provides efficient and scalable supports for: Supervised Fine-Tuning Reinforcement Learning (RL) Knowledge Distillation Tunix leverages the power of JAX for accelerated computation and seamless integration with JAX-based modeling framework Flax NNX. Current Status: Early Development Tunix is in early…
使用ai生成多章节的长篇小说，自动衔接上下文、伏笔📖 自动小说生成工具 当前没有什么精力维护该项目，本身该项目并无任何收益，以及临近毕业，有很多内容要忙，如果后面有时间的话，再考虑基于更新的技术去重构吧。——2025/9/24 ✨ 核心功能 ✨ 功能模块 关键能力 🎨 小说设定工坊 世界观架构 / 角色设定 / 剧情蓝图 📖 智能章节生成 多阶段生成保障剧情连贯性 🧠 状态追踪系统 角色发展轨迹 / 伏笔管理系统 🔍 语义检索引擎 基于向量的长程上下文一致性维护 📚 知识库集成 支持本地文档参考 ✅ 自动审校机制 检测剧情矛盾与逻辑冲突 🖥 可视化工作台 全流程GUI操作，配置/生成/审校一体化 一款基于大语言模型的多功能小说生成器，助您高效创作逻辑严谨、设定统一的长篇故事 📑 目录导航 环境准备 项目架构 配置指南 运行说明 使用教程 疑难解答 🛠 环境准备 确保满足以下运行条件： Python 3.9+ 运行环境（推荐3.10-3.12之间） pip 包管理工具 有效API密钥： 云端服务：OpenAI / …
Community-contributed instructions, prompts, and configurations to help you make the most of GitHub Copilot.🤖 Awesome GitHub Copilot Customizations A curated collection of prompts, instructions, and chat modes to supercharge your GitHub Copilot experience across different domains, languages, and use cases. 🚀 What is Awesome GitHub Copilot? This repository provides a comprehensive toolkit for enhancing GitHub Copilot with specialized: - Focused, task-specific prompts for generating code, d…
A free, open source, and extensible speech-to-text application that works completely offline.Handy A free, open source, and extensible speech-to-text application that works completely offline. Handy is a cross-platform desktop application built with Tauri (Rust + React/TypeScript) that provides simple, privacy-focused speech transcription. Press a shortcut, speak, and have your words appear in any text field—all without sending your voice to the cloud. Why Handy? Handy was created to fill the …
Claude Agent SDK for Python Python SDK for Claude Agent. See the Claude Agent SDK documentation for more information. Installation pip install claude-agent-sdk Prerequisites: Python 3.10+ Node.js Claude Code: npm install -g @anthropic-ai/claude-code Quick Start import anyio from claude_agent_sdk import query async def main(): async for message in query(prompt="What is 2 + 2?"): print(message) anyio.run(main) Basic Usage: query() query() is an async function for querying …
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.pdfplumber Plumb a PDF for detailed information about each text character, rectangle, and line. Plus: Table extraction and visual debugging. Works best on machine-generated, rather than scanned, PDFs. Built on pdfminer.six. Currently tested on Python 3.8, 3.9, 3.10, 3.11. Translations of this document are available in: Chinese (by @hbh112233abc). To report a bug or request a…
A simple task management system for managing AI dev agents🚀 AI Dev Tasks 🤖 Welcome to AI Dev Tasks! This repository provides a collection of markdown files designed to supercharge your feature development workflow with AI-powered IDEs and CLIs. Originally built for Cursor, these tools work with any AI coding assistant including Claude Code, Windsurf, and others. By leveraging these structured prompts, you can systematically approach building features, from ideation to implementation, with built…
Legacy-Mess Detector – assess the “legacy-mess level” of your code and output a beautiful report | 屎山代码检测器，评估代码的“屎山等级”并输出美观的报告fuck-u-code Important📢 记住这个命令：fuck-u-code - 让代码不再烂到发指！ 一款专门揭露屎山代码的质量分析工具，用犀利又搞笑的方式告诉你：你的代码到底有多烂。 特性 多语言支持: Go、JS/TS、Python、Java、C/C++ 屎山指数: 0~100 分，越高越烂 七维度检测: 复杂度 / 函数长度 / 注释率 / 错误处理 / 命名 / 重复度 / 结构 彩色终端报告: 批评也能笑着听 Markdown 输出: 方便 AI 分析与文档集成 灵活配置: 摘要 / 详细模式，多语言报告 Note 分数越高越烂，欢迎“高分大佬”上榜 全程本地运行，不上传代码，安全无忧 安装 # 方法一：Go 安装 go install github.com/Done-0/fuck-u-code/cmd…
A Datacenter Scale Distributed Inference Serving Framework | Roadmap | Support matrix | Documentation | Examples | Prebuilt containers | Design Proposals | Blogs NVIDIA Dynamo High-throughput, low-latency inference framework designed for serving generative AI and reasoning models in multi-node distributed environments. Latest News [08/05] Deploy openai/gpt-oss-120b with disaggregated serving on NVIDIA Blackwell GPUs using Dynamo ➡️ link The Era of Multi-GPU, Multi-Node Large languag…