An open source library for deep learning end-to-end dialog systems and chatbots.
intent-detection 开源项目推荐(154 个)
intent-detection 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 154 个仓库基于金融-司法领域(兼有闲聊性质)的聊天机器人,其中的主要模块有信息抽取、NLU、NLG、知识图谱等,并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling
槽位填充、意图检测、联合训练、ATIS 和 SNIPS 数据集、Facebook 多语言数据集、MIT 语料库、电子商务购物助手(ECSA)数据集、CoNLL2003 NER、ELMo、BERT、XLNet
基于pytorch的中文意图识别和槽位填充
attention based joint model for intent detection and slot filling
Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.
Open-source ecosystem for building AI-powered conversational solutions using RAG, agents, FSMs, and LLMs.
Open source code for EMNLP-19 Paper "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".
Joint Slot Filling and Intent Detection via Capsule Neural Networks (ACL'19) https://arxiv.org/abs/1812.09471
Open source code for EMNLP 2020 Findings Paper "AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling"
BERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)
MIntRec2.0 is the first large-scale dataset for multimodal intent recognition and out-of-scope detection in multi-party conversations (ICLR 2024)
Deep Open Intent Classification with Adaptive Decision Boundary (AAAI 2021)
Natural language understanding library for chatbots with intent recognition and entity extraction.
Automated machine learning for text classification
Implementation of Z-BERT-A: a zero-shot pipeline for unknown intent detection.
Open source code and data for AAAI 2022 Oral Paper "Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding"
MISCA: A Joint Model for Multiple Intent Detection and Slot Filling with Intent-Slot Co-Attention (EMNLP 2023 - Findings)
End-to-end spoken language understanding toolkit: a small trainable neural audio codec with RVQ, joint intent-and-slot models over speech features, streaming partial intents, a speech-LLM instruction data pipeline, and turn-level evaluation with reproducible reports. NumPy core with a CPU-only torch extra; synthetic data only, fully offline.
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/intent-detection。
- 该话题在 GitHub 上共有 154 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 1.1 万 Star,覆盖 1 种主要语言,数据更新于 2026-11-07。
- 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。