Fast, Flexible and Portable Structured Generation
NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.
Minimal reproduction of OneRec
Scalable data pre processing and curation toolkit for LLMs
DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.
A neurosymbolic perspective on LLMs
Democratizing AI scientists with ToolUniverse
NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness.
High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuous batching, multimodal models, MCP tool calling, and Claude Code support.
Get clean data from tricky documents, powered by vision-language models ⚡
OctoTools: An agentic framework with extensible tools for complex reasoning
The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers across function-level, repository-level, agentic, and smart-contract detection, plus datasets, benchmarks, and surveys.
A Home Assistant integration & Model to control your smart home using a Local LLM
Create, Evaluate, and Connect AI Skills
🦙 Integrating LLMs into structured NLP pipelines
Daily updated LLM papers. 每日更新 LLM 相关的论文,欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个
Helping Ethical Hackers use LLMs in 50 Lines of Code or less..
为纯文本模型"看图“设计更好的视觉工具箱和技能,支持多图理解,图片问答,前端UI还原、GUI 自动化等,并可选无缝接入多个主流agent,直接识别粘贴图片| A vision toolkit and skill designed for text-only llms — image Q&A, long-screenshot OCR, frontend UI restoration, and GUI automation, with optional seamless integration for Codex, Claude Code, Pi, Oh My Pi, and OpenCode
LLM KV cache compression made easy
Fully Open Framework for Democratized Multimodal Training
[ICLR 2026] LightMem: Lightweight and Efficient Memory-Augmented Generation
Lightweight and portable LLM sandbox runtime (code interpreter) Python library.
Open-source autoresearch powered by autonomous coding agents. Run Claude Code, OpenCode, and Codex with grading, shared knowledge, and multi-agent evolution. Accepted at COLM 2026.
Active learning for systematic reviews
Coding Agents skills for Synalinks OSS
A clinical decision-evidence benchmark: pull the one fact an answer rests on, and see whether the assistant's action moves with the evidence. Built on HealthBench.
A simple, unified multimodal models training engine. Lean, flexible, and built for hacking at scale.
Halo is an open-source framework built by White Circle for training large language and multimodal models
[NeurIPS 2025 D&B Spotlight] Scaling Data for SWE-agents
Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.
Official repository for "Context Language Models"
NucliaDB, The AI Search database for RAG
Grounded search engine (i.e. with source reference) based on LLM / ChatGPT / OpenAI API. It supports web search, file content search etc.
This repository collects an extensive list of awesome papers about Story Generation / Storytelling, exclusively focusing on the era of Large Language Models (LLMs).
Cell type annotation for single-cell RNA-seq using multi-LLM consensus
Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight)
Active Learning for Text Classification in Python
[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety, fairness, robustness, privacy and ethics. Python/CLI toolkit for local models, compatible APIs and AI agent orchestration.
Qwen DianJin: LLMs for the Financial Industry by Alibaba Cloud(通义点金:阿里云金融大模型)
[ICLR 2026] ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
multilspy is a lsp client library in Python intended to be used to build applications around language servers.
Bilingual (中文+EN) ML / LLM / diffusion / agent interview cheat sheets for AI 秋招 — generated by ARIS /interview-cheatsheet, rendered by /render-html into single-file HTML, reads anywhere — plus a CV→DBLP-fact-checked academic homepage generator and hand-authored long-form blogs 🌱
ParseBench - A Document Parsing Benchmark for AI Agents
CL-bench: A Benchmark for Context Learning
A curated collection of papers and resources on On-Policy Distillation for Large Language Models.
A flexible, adaptive classification system for dynamic text classification
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
Interactive Composition Explorer: a debugger for compositional language model programs
Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
Universal LLM Gateway: One API, every LLM. OpenAI/Anthropic-compatible endpoints with multi-provider translation and intelligent load-balancing.
Robotics vision SDK
Code as World: Agentic Discovery of Executable World Representations for Physical Reasoning
TLive-Omni: An Omni-Modal Understanding Model for E-Commerce Live Streaming
A small proof-of-concept language model (not an LLM) that aims to incorporate latent-space prediction, internal state using recurrent trace units, and byte-by-byte output, built with MLX.
The companion AI agent that learns, adapts and gets the work done no matter the task
🚀🚀 A multimodal System One decision model that gives calibrated answers to typed questions about screens, photos, video and text in one forward pass.
S-Space: Exploring Spatial Workspace in Multimodal Models
🎬 OraRL — Annotations as Rollouts for efficient, scalable reinforcement learning of unified video MLLMs.
[NeurIPS 2026] State of Thought Enables Endogenous Reasoning
[NeurIPS 2026] Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models