An open-source post-exploitation framework for students, researchers and developers.
- encrypted-connections
- platform-independent
- no-dependencies
- reverse-shells
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An open-source post-exploitation framework for students, researchers and developers.
TranslatedThe most comprehensive and frequently updated AI Agent skill library, featuring curated skill packs across document processing, content creation, programming, machine learning, automated workflows, and many more domains. Also, all the skill packs are bundled and ready to install and use directly! It also automatically crawls tens of thousands of Skills projects on GitHub and organizes them by category, update time, and number of Stars.
A terminal spreadsheet multitool for discovering and arranging data
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
Fully local web research and report writing assistant
Common used path planning algorithms with animations.
Mobile-Agent: The Powerful GUI Agent Family
AutoML library for deep learning
Private AI agents for highly regulated teams, and for anyone who wants AI on their own computer. Open-source Python agent framework that runs fully offline.
so-vits-svc fork with realtime support, improved interface and more features.
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Curated prompts, frameworks and papers for LLMs and agents, with an engineering bias. Prompt engineering, context engineering, agent harnesses, red teaming.
A unified ecosystem and workspace for large-scale federated learning of Large Models & LLMS. Store compute as Wifi
ModelScope: bring the notion of Model-as-a-Service to life.
Keras implementations of Generative Adversarial Networks.
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
An interactive command-line HTTP and API testing client built on top of HTTPie featuring autocomplete, syntax highlighting, and more. https://twitter.com/httpie
ImageBind One Embedding Space to Bind Them All
People tracker on the Internet: OSINT analysis and research tool by Jose Pino
Deep universal probabilistic programming with Python and PyTorch
TranslatedA project for accelerating GitHub release, archive, and project file downloads