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GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
This is a project that unifies the management of LLM APIs. It can call multiple backend services through a unified API interface, convert them to the OpenAI format uniformly, and support load balancing. Currently supported backend services include: OpenAI, Anthropic, DeepBricks, OpenRouter, Gemini, Vertex, etc.
🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.
The official implementation of Self-Play Fine-Tuning (SPIN)
a security scanner for custom LLM applications
A python module to manipulate XCode projects
Paint by Example: Exemplar-based Image Editing with Diffusion Models
[ICLR 2026] Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
Неофициальная Python библиотека для работы с API сервиса Яндекс.Музыка
Fiona reads and writes geographic data files
🔍 Search-o1: Agentic Search-Enhanced Large Reasoning Models [EMNLP 2025]
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