State of the art inference performance with modern accelerators on Kubernetes
RL observability for LLM agents: behavior maps, native trainer metrics, rollout investigations, and Python/SQL analysis.
Docker configuration for running VLLM on dual DGX Sparks
llm-d Router: The intelligent entry point for inference requests
A curated list of public-source, research, and commercial tools for AI security and AI-assisted cybersecurity — autotriage, agent security, AI/ML supply chain, pentest agents, AI SAST, LLM-driven fuzzing, threat intelligence, SOC/SIEM triage, reverse engineering, LLM red-teaming, and more.
Best static AI text humanizer. Two research-grounded LLM-agnostic skills that make AI writing sound human and relatable. Nine levers, 50+ peer-reviewed sources, 2024-2026 detection literature.
用于检测ai模型是否真实
A curated collection of papers, technical reports, frameworks, and tools for on-policy distillation (OPD) of large language models
Blacksea is an active honeypot and canary-bait control system built to detect and drown LLM-driven attackers. Blacksea doesn't stop at watching LLM attacks. It exploits flaws in the attacker's LLM judgment to gain arbitrary code execution on their machines, collect intel passive defenses can't reach, and make sure they don't come back.
Best Data Science, Data Analytics, AI, and SDE roadmaps. This repository is continually updated based on the top job postings on LinkedIn and Indeed in the data science and AI domain.
Scalable data pre processing and curation toolkit for LLMs
Track AI API quotas across Synthetic, Z.ai, Anthropic (Claude Code), Codex, GitHub Copilot & Antigravity in real time. Lightweight background daemon (<50MB RAM), SQLite storage, Material Design 3 dashboard. Zero telemetry.
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
Optimized Agentic and LLM Bulk Processing Over Your Data
Open-source LLM/VLM load balancer and serving platform for self-hosting LLMs (and VLMs) at scale 🏓🦙 Alternative to projects like llm-d, Docker Model Runner, etc but with less moving parts and simple deployments built around ggml ecosystem. Runs on CPU and GPU.
LLM-driven generator for Mythic Agents, Payload-Type and C2 Profiles.
Self-hosted, distributed, multi-model LLM inference
—
Qwen3.8-Flash-Next-NVFP4-vLLM-Dual-DGX-Spark
YiGraph is an LLM-driven agent for autonomous Graph Data Analytics based on Analytics-Augmented Generation. 易图(YiGraph)是一套基于 AAG(分析增强生成)框架构建的图分析智能体系统,致力于挖掘数据之间的关联关系,释放数据价值。
Official implementation of QuaNAG: LLM-driven Memory-bounded Neural Architecture Generation via Quantization-branched Exploration
—
Static-analysis-based dataset for training LLMs to detect, explain, and patch security vulnerabilities (Java, Korean/English annotations, verified patches).