Popular GitHub Repositories for Intent Discovering

An open source library for deep learning end-to-end dialog systems and chatbots.

Snips Python library to extract meaning from text

A Burp Suite extension that integrates OpenAI's GPT to perform an additional passive scan for discovering highly bespoke vulnerabilities and enables running traffic-based analysis of any type.

Discovering Interpretable GAN Controls [NeurIPS 2020]

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

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)

building a chinese dialogue system based on the newest version of rasa(基于最新版本rasa搭建的对话系统)

Rhasspy voice assistant for offline home automation

Stephanie is an open-source platform built specifically for voice-controlled applications as well as to automate daily tasks imitating much of an virtual assistant's work.

This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"

On-device Speech-to-Intent engine powered by deep learning

AI-in-a-Box leverages the expertise of Microsoft across the globe to develop and provide AI and ML solutions to the technical community. Our intent is to present a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction.

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

[EMNLP 2020] OpenUE: An Open Toolkit of Universal Extraction from Text

Curated resources for discovering, reading, and working with arXiv papers