榜单积累中
快照数据正在积累,增长榜需要至少 2 个有效快照日。
2026-11-11 · #nlp · 34 个仓库 · 按 star 排序repos · by stars
5
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
★ 39,303
7
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
★ 36,537
8
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
★ 35,397
9
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
★ 31,857
10
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
★ 30,317
13
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
★ 21,384
18
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
★ 17,394
19
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
★ 16,752
23
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
★ 15,716
25
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
★ 13,296
28
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
★ 9,555
33
“AI-Compass”将为社区指引在 AI 技术海洋中航行的方向,无论你是初学者还是进阶开发者,都能在这里找到通往 AI 各大方向的路径。旨在帮助开发者系统性地了解 AI 的核心概念、主流技术、前沿趋势,并通过实践掌握从理论到落地的全过程。
★ 995