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Source channel @githubtrending · Post #15075 · Aug 19

#python#cybersecurity#fyp#hacking#hacking_tool#indonesia#information#information_gathering#ip_geolocation#linux#osint#osint_python#osint_tool#pentesting#phone_number#python#python_hacking#termux#termux_hacks#termux_tool GhostTrack is a simple tool you can install on Linux or Termux to track locations, phone numbers, or social media usernames using open-source intelligence (OSINT). It offers menus for IP tracking (which can be combined with another tool called Seeker), phone number tracking, and username tracking on social media. This helps you gather information about a target’s location or identity easily. The benefit is that you can quickly find useful data for security, investigation, or personal knowledge without needing advanced skills, all through a straightforward Python-based program created by HunxByts. https://github.com/HunxByts/GhostTrack

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Илья AGI TV 🤖

@ilia_plasma · Post #148 · 10/08/2023, 12:16 PM

Пока весь мир ждет доступа к новой модели со зрением GPT-4V(ision), опенсорс команда (пара азитов со степенью PhD из американских вузов) уже выпустили свой аналог и бесплатную версию #LLaVA (Large Language and Vision Assistant), которая выдает результат (не) хуже GPT4V и может работать локально. Вот такая скорость развития и конкуренции в этом новом #AI рынке. 🧠LLava - вебсайт 📄WhitePaper 🧬Github code 🔋Demo для потестить на своих дикпиках 🦒Colab (для запуска у себя на серваке)

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@githubtrending · Post #15600 · 04/04/2026, 11:30 AM

#python#apple_silicon#florence2#idefics#llava#llm#local_ai#mlx#molmo#paligemma#pixtral#vision_framework#vision_language_model#vision_transformer MLX-VLM lets you run, chat with, and fine-tune Vision Language Models (VLMs) plus audio/video models on your Mac using MLX—install easily with `pip install -U mlx-vlm`. Use CLI for quick text/image/audio generation (e.g., `mlx_vlm.generate --model ... --image photo.jpg`), Gradio UI for chats, Python scripts, or a FastAPI server with OpenAI-compatible endpoints supporting multi-images/videos. Features like TurboQuant cut KV cache memory by 76%, and LoRA/QLoRA fine-tuning works on consumer hardware. You benefit by experimenting with powerful multimodal AI locally—fast, memory-efficient, no cloud costs, perfect for Mac users tweaking models affordably. https://github.com/Blaizzy/mlx-vlm