intent-recognition

Very low latency speech to text, intent recognition, and text to speech, for building voice agents and interfaces

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Rhasspy voice assistant for offline home automation

TEXTOIR is the first opensource toolkit for text open intent recognition. (ACL 2021)

基于Lana模型实现的微信聊天情感分析客户端，支持意图识别、情绪感知、人物画像、群聊画像、好感度分析和 MBTI 聊天推测

ZeusHammer - AI Super Agent with Local Brain, Voice Interaction & Three-Tier Memory

微信（FkWeChat 插件）：长按消息分析意图 / 情绪 / 回复姿态，只在本机弹提示，对方无感知

[CVPR 2026] The official implementation of Nano-EmoX

[RA-L21] Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM

Open source intent recognition framework powered by LLMs.

Lightweight, intent-driven control plane for smart home & local automation. Uses iOS Shortcuts & Control URLs without local LLM/GPU hosting.

Make your specs actually comprehensive. Pair your specs with tests to make your coding agent stop improvising bad code

This repository is a comprehensive project that leverages the XLM-Roberta model for intent detection. This repository is a valuable resource for developers looking to build and fine-tune intent detection models based on state-of-the-art techniques.

Offline command understanding for tiny devices, under 1 MB

Python library to extract intention and structured information from sentences written in natural language

Agent 意图框架 — 把人话翻译成结构化意图+槽位+约束。输入规范化(两阶段) + 三层瀑布式意图识别(Code→Flash→Pro)，80% 请求零 LLM 调用，10ms 内返回。650 测试全过。

🤖 Tajan – An intelligent bilingual (Persian/English) intent recognition chatbot powered by BiLSTM deep learning. Features: offline Persian/English lemmatizer, smart data augmentation (1.8x), GUI interface, and 419 intent classes with ~66% accuracy. Fully customizable, open-source, and runs without internet. Built with TensorFlow, Hazm, and NLTK.

Diagnostic prompts for understanding AI behavior and intent. Applied robopsychology for modern LLMs and hosted agents.

基于 Spring AI Alibaba 架构的企业级智能客服系统 | RAG + 混合检索（向量+全文）| PostgreSQL pgvector + tsvector | 支持多格式文档处理与意图识别

Simulation first governed neuroadaptive runtime for BCI inspired intent to action systems: uncertainty aware abstention, signal quality and drift detection, locally qualified decoders, shared autonomy, symbolic world modeling, Simplex fallback, evidence gated adaptation, signed replayable assurance, and deterministic fault injection.