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Automatically extracts long texts into structured dialogue datasets via LLMs, with built-in validation, pairing, ChatML export, CLI/FastAPI/GUI support, concurrency, and checkpoint resume. 通过LLM自动将…
**Deep Video Discovery (DVD)** is a deep-research style question answering agent designed for understanding extra-long videos.
[IEEE TPAMI] Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
An LLM-based Delphi expert elicitation pipeline
The code for paper "Learning from Committee: Reasoning Distillation from a Mixture of Teachers with Peer-Review" accepted by ACL 2025.
An open platform for building, extending, and experimenting with scientific agents.
Micro SD Express to M.2 NVME Adapter for Nintendo Switch 2
Easiest and laziest way for building multi-agent LLMs applications.
A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency a…
AI Integrated Professional Document Reader
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Hierarchical Reasoning Model Official Release
( TPAMI2022 / CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
lailai's personal website for sharing technical notes, project experience, and learning insights.
Nexent is a zero-code platform for auto-generating agents — no orchestration, no complex drag-and-drop required. Nexent also offers powerful capabilities for agent running control, data processing …
A lightweight LMM-based Document Parsing Model
FIT: 企业级AI开发框架，提供多语言函数引擎（FIT）、流式编排引擎（WaterFlow）及Java生态的LangChain替代方案（FEL）。原生/Spring双模运行，支持插件热插拔与智能聚散部署，无缝统一大模型与业务系统。
A L4 innovative AGI System Empowering miRNA Drug Discovery
53AI Hub is an open-source AI portal, which enables you to quickly build a operational-level AI portal to launch and operate AI agents, prompts, and AI tools. It supports seamless integration with …
Klavis AI (YC X25): MCP integration platforms that let AI agents use tools reliably at any scale