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RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Awesome list of AI reverse engineering and rebuilds: what AI agents took apart and recreated, and which ones really used REA (Reverse Engineer Anything).
Super Next generation Advanced Reactive honEypot
Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
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A tool for holistic analysis of language generations systems
Tamper-evident tracing, policy gates and cross-checks for AI agents: see what the agent did, and why.
Official implementation of “UniForge3D: Joint 3D Reconstruction and Generation in a Shared Anchor-Guided Space.”
An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)
Build AI phone agents on your own computer and test every change with an AI caller. Open source, runs free with no API keys, cents per call with your own keys. Imports Dialogflow CX.
A unified framework for building, evaluating, and recursively improving embodied agents. 🚀 Code release coming soon.
💃 Free CC0 mannequin pose reference library for AI image tools (Nano Banana, ChatGPT, ComfyUI, Midjourney) — 250+ poses × 5 angles in line art, names in ja/zh/en/ko
AI Agent Identity and Access Management and Inference Firewall
Native Quiet Home launcher, reversible cleanup tools, and an agent-readable guide for the Samsung U8000F running Tizen 9.
OASIS TC Open Repository: Python APIs for STIX 2
Make Gemini code like Claude Models. Forces it to inspect files before editing, plan changes, test its work, and back up every “done” with actual evidence.
hBPF = eBPF in hardware
Image quality is an open source software library for Image Quality Assessment (IQA).
Code and data for GeneGPT.
A model generator for energy system modelling and optimisation (LP/MILP).
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
TranslatedOne zero-dependency MCP gateway CLI for every server and agent skill. Token optimization, tool discovery and context compression: 71,929 -> 581 tokens (-99.2%, measured), schemas stay out of context. One config for Claude Code, Codex, Cursor, every agent. 561KB, pure Python. | Zero-dependency CLI: manages all MCP tools and skills, and tool discovery saves 99.2% of tokens.
Real-time generative rendering for interactive worlds, from any visual reference.