🔍 Deep-diving into harry0703/MoneyPrinterTurbo — fresh off the trending list.

🔗 https://github.com/harry0703/MoneyPrinterTurbo
📝 利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
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MoneyPrinterTurbo is an innovative project that allows users to generate high-definition videos with just a theme or keyword. This GitHub repository provides a comprehensive solution for video creation, including automatic scriptwriting, video material sourcing, subtitles, and background music.

The project boasts a range of key features, such as a clear MVC architecture, support for AI-generated video scripts, and the ability to customize video size, duration, and language. It also offers a user-friendly WebUI and API interface, making it accessible to both developers and non-technical users.

To get started, users can follow the quick start guide and choose from various deployment options, including one-click installation packages, Docker, or manual installation. The project supports multiple languages, including Chinese and English, and is compatible with various operating systems, including Windows, MacOS, and Linux.

The technical highlights of MoneyPrinterTurbo include its ability to utilize AI models from providers like OpenAI, AIHubMix, and Google Gemini, ensuring high-quality video generation. The project is designed to be scalable and flexible, allowing users to customize and extend its functionality as needed.

The target audience for MoneyPrinterTurbo includes content creators, marketers, and anyone looking to generate high-quality videos quickly and efficiently. With its robust features and user-friendly interface, this project has the potential to revolutionize the way we create and produce video content.

In short, MoneyPrinterTurbo is a game-changer for video creation, and its possibilities are endless: generate a video in minutes, not hours!

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🧠 Channel: https://t.me/GithubRe

🔥 D4Vinci/Scrapling is trending — and it deserves your attention.

🔗 https://github.com/D4Vinci/Scrapling
📝 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
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Scrapling is an adaptive web scraping framework that simplifies the process of extracting data from websites. Its key features include automatic element relocation when website structures change, bypassing anti-bot systems like Cloudflare Turnstile, and concurrent, multi-session crawls with pause/resume and automatic proxy rotation.

To use Scrapling, you can start by creating a StealthyFetcher object and using its fetch method to retrieve a webpage. You can then use the css method to select and extract data from the webpage. For larger-scale crawls, you can create a Spider class that inherits from Scrapling's Spider base class.

Scrapling is designed to be fast and efficient, with real-time stats and streaming capabilities. It's suitable for both beginners and experienced web scrapers, and its extensive documentation and active community make it easy to get started and find help when needed.

Here's a simple example of how to use Scrapling:

from scrapling.fetchers import StealthyFetcher
StealthyFetcher.adaptive = True
p = StealthyFetcher.fetch('https://example.com', headless=True, network_idle=True)
products = p.css('.product', auto_save=True)

Overall, Scrapling is a powerful and flexible web scraping framework that can help you extract the data you need from the web. With its easy-to-use API and extensive features, it's an ideal choice for anyone looking to scrape the web. Scrape the web like a pro with Scrapling - one library, zero compromises!

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🧠 Channel: https://t.me/GithubRe

⚡ pbakaus/impeccable is making waves. Here's the full picture.

🔗 https://github.com/pbakaus/impeccable
📝 The design language that makes your AI harness better at design.
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The Impeccable GitHub repository is a game-changer for frontend design, offering a comprehensive design skill with 7 domain-specific references and 23 commands to help you create impeccable designs. The key features include a shared design vocabulary with your AI, deterministic anti-pattern rules, and a CLI for detecting anti-patterns.

To get started, you can visit impeccable.style to download ready-to-use bundles or install the skill using the CLI installer. The repository includes 23 commands such as polish, audit, and critique, which can be accessed through the single /impeccable skill.

The technical highlights of Impeccable include its ability to load domain reference files on every command, a brand-vs-product register that adjusts defaults, and explicit guidance on what to avoid in design. The repository supports various tools, including Cursor, Claude Code, and Codex CLI, making it a versatile solution for designers and developers.

Whether you're a beginner or an experienced designer, Impeccable is an essential tool to have in your arsenal. With its wide range of features and support for multiple tools, it's an excellent choice for anyone looking to improve their design skills.

In short, Impeccable is the ultimate design companion that helps you create stunning, user-friendly interfaces with ease - design like a pro, every time.

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🧠 Channel: https://t.me/GithubRe

⚡ p-e-w/heretic is making waves. Here's the full picture.

🔗 https://github.com/p-e-w/heretic
📝 Fully automatic censorship removal for language models
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The Heretic GitHub repository is a cutting-edge project that enables fully automatic censorship removal for language models. This innovative tool combines advanced directional ablation, also known as "abliteration," with a TPE-based parameter optimizer powered by Optuna. The result is a decensored model that retains as much of the original model's intelligence as possible, without requiring any human effort or understanding of transformer internals.

Key Features:
- Automatic censorship removal
- Supports most dense models, including multimodal and MoE architectures
- Compatible with model quantization using bitsandbytes
- Provides features for research into model internals and interpretability

Usage:
To get started, simply install the heretic-llm package and run the heretic command with the desired model. For example:

pip install -U heretic-llm
heretic Qwen/Qwen3-4B-Instruct-2507

Technical Highlights:
- Employs PaCMAP projection for residual vector analysis
- Offers options for generating plots and printing residual geometry details
- Supports a variety of configuration parameters for customization

Audience:
Heretic is designed for anyone interested in working with language models, from researchers to developers and enthusiasts. The tool's automatic nature makes it accessible to those without extensive knowledge of transformer internals.

In summary, Heretic is a powerful tool that makes it easy to remove censorship from language models, and with its cutting-edge features and ease of use, it's a game-changer for the field - decensor your models with just a few clicks!

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🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: EveryInc/compound-engineering-plugin — let's break it down.

🔗 https://github.com/EveryInc/compound-engineering-plugin
📝 Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more
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The Compound Engineering Plugin is designed to make each unit of engineering work easier than the last, inverting the traditional development process that often accumulates technical debt. This plugin provides AI skills and agents to streamline the development workflow, focusing on planning, review, and knowledge codification to ensure high-quality changes.

The core features include:
- /ce-brainstorm and /ce-plan for thorough planning
- /ce-code-review and /ce-doc-review for catching issues
- /ce-compound for codifying knowledge

To get started, run /ce-setup in any project, and explore the 37 skills and 51 agents available. The plugin can be installed via various platforms, including Claude Code, Cursor, Codex, GitHub Copilot, Factory Droid, Qwen Code, OpenCode, Pi, Gemini, and Kiro, using specific installation commands.

In summary, the Compound Engineering Plugin is a game-changer for developers, making each change easier than the last by compounding knowledge and streamlining the development process. Install it now and start coding smarter, not harder!

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🧠 Channel: https://t.me/GithubRe

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