#python #ai_tool #darkweb #darkweb_osint #investigation_tool #llm_powered #osint #osint_tool

Robin is an AI tool that searches and scrapes the dark web, refines queries with large language models, filters results, and produces a concise investigation summary you can save or export, with Docker and CLI options and support for multiple LLMs (OpenAI, Anthropic, Gemini, local models) to fit your workflow. This helps you save hours of manual searching by automating multi-engine dark-web searches, scraping Onion sites via Tor, filtering noise with AI, and producing ready-to-use reports for faster, more focused OSINT investigations.

https://github.com/apurvsinghgautam/robin

#python #auto_regressive_diffusion_model #diffusion_models #video_generation #wan_video

LightX2V is a fast, lightweight framework for generating videos from text or images, supporting models like HunyuanVideo-1.5 and Wan2.1/2.2 with up to 20x speedup via 4-step distillation, low VRAM use (8GB+), and features like offloading, quantization, and multi-GPU parallelism—outperforming rivals on H100/RTX 4090. You benefit by creating high-quality videos quickly on everyday hardware, saving time and costs for content creation, prototyping, or professional workflows, with easy Docker/ComfyUI setup and free online trials.

https://github.com/ModelTC/LightX2V

#csharp #algorithm #algorithmic_trading_engine #c_sharp #finance #forex #lean_engine #options #python #quantconnect #stock_indicators #trading #trading_algorithms #trading_bot #trading_platform #trading_strategies

LEAN is a free, open-source platform for building, backtesting, and live-trading algorithms across stocks, forex, crypto, options, and more. Install the CLI with `pip install lean` to easily create projects, run research in Jupyter, backtest strategies, optimize, or deploy live trades from your terminal using Docker. Its modular design lets you customize everything. This saves you time by streamlining development, avoiding biases, and enabling fast, realistic testing to profit from better trading strategies.

https://github.com/QuantConnect/Lean