使用 PEFT 或全参数对 600+ LLMs(Qwen3.8、DeepSeek-V4、GLM-5.1、InternLM3、Llama4 等)和 300+ MLLMs(Qwen3-VL、Qwen3-Omni、InternVL3.5、Ovis2.5、GLM5.3、Gemma4、Llava、Phi4 等)进行 CPT/SFT/DPO/GRPO(AAAI 2025)。
reranker 开源项目推荐(318 个)
reranker 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 318 个仓库AdalFlow:用于构建并自动优化 LLM 应用的库。
用于在本地生成向量嵌入和重排序的 Rust 库!
用于人工智能编码代理的Rust驱动代码智能CLI。构建跨7种语言的调用图和混合语义搜索索引(Dense + Sparse + RRF + Reranker)。作为Claude Code和Codex CLI的原生LCP工具发布。
RAG ReAct Agent - A Retrieval-Augmented Generation system with ReAct (Reasoning+Acting) agent loop for intelligent question answering with multi-hop reasoning
Train embedding and reranker models for retrieval tasks on Apple Silicon with MLX
Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenAI-compatible API. 2100+ tests.
Small Language Model Inference, Fine-Tuning and Observability.
1st Place Solution for Eedi - Mining Misconceptions in Mathematics Kaggle Competition
A library integrating embedding and reranker models from OpenAI, SentenceTransformers etc for semantic search in vector database.
An easy-to-use python toolkit for flexibly adapting various neural ranking models to target domain.
AdalFlow Alternative 2026: Auto-Optimize LLM Apps Without Code
Airgapped closed-corpus QA loop: a self-hosted Qwen3.6 agent explores a .zip dataroom under a token budget with local tools
Build & Auto-Optimize LLM Apps in 2026: The Ultimate AdalFlow Guide
Testing speed and accuracy of RAG with, and without Cross Encoder Reranker.
Can my GPU run this? Pick a GPU to get 3 fitting AI models, quantization, VRAM, speed ranges, and run commands. 한국어·English.
Private web search MCP: SearXNG metasearch → ML reranking → 4-tier fetch cascade (Firecrawl / Crawl4AI / raw / Wayback) with per-domain learning, Ollama query expansion and synthesis. No cloud APIs.
Two zero-dependency SearXNG reranker plugins: BM25 text relevance and semantic embedding/cross-encoder reranking, with optional coordination.
Production-grade Node.js RAG system with hybrid retrieval, pluggable adapters, and OpenTelemetry tracing
Unified .NET AI library with multi-provider support (OpenAI, Anthropic, Google, DeepSeek, Perplexity) and RAG extensions
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/reranker。
- 该话题在 GitHub 上共有 318 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2.3 万 Star,覆盖 7 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。