- Shenzhen, China
- guanlinlee.github.io
Stars
Damn Vulnerable MCP Server
The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.
DeepTeam is a framework to red team LLMs and LLM systems.
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
A.I.G (AI-Infra-Guard) is a comprehensive, intelligent, and easy-to-use AI Red Teaming platform developed by Tencent Zhuque Lab.
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environment…
Guardrails for secure and robust agent development
Test your prompts, agents, and RAGs. AI Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with co…
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Repo for Top of the Class benchmark (ICLR 2025 Workshop on Trustworthy Agents)
[ACL2024] T-Eval: Evaluating Tool Utilization Capability of Large Language Models Step by Step
Ranking LLMs on agentic tasks
Local Deep Research achieves ~95% on SimpleQA benchmark (tested with GPT-4.1-mini). Supports local and cloud LLMs (Ollama, Google, Anthropic, ...). Searches 10+ sources - arXiv, PubMed, web, and yo…
A lightweight, powerful framework for multi-agent workflows
No fortress, purely open ground. OpenManus is Coming.
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
[TMLR 2024] Efficient Large Language Models: A Survey
This dataset contains results from all rounds of Adversarial Nibbler. This data includes adversarial prompts fed into public generative text2image models and validations for unsafe images. There wi…
arielnlee / LLaVA-1.6-ft
Forked from haotian-liu/LLaVA[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Diagrams for visualizing neural network architecture
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
Flops counter for neural networks in pytorch framework
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
A Non-Euclidean Rendering Engine for 3D scenes.
Code for visualizing the loss landscape of neural nets