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intent-recognition
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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)
[RA-L20] Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM
Open source intent recognition framework powered by LLMs.
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.
DropSuit - NLP & data manipulation library for JS & Node.js. Offers diverse functions for text analysis, language understanding & more. Open-source under Apache License 2.0.
Interactive NLP-based AI system designed to manage cinema bookings and provide a seamless user experience.
ChatAssist Pro is an advanced AI-powered chatbot designed to streamline customer support interactions.
Constructing a dialogue chat bot, which will be able to: answer programming-related questions (using StackOverflow dataset); chit-chat and simulate dialogue on all non programming-related questions.
Constructing a corpus of ancient Chinese pediatric medicine literature, using algorithms such as BERT, lattice LSTM, and Siamese for tasks such as named entity recognition, intent recognition, entity similarity calculation, and entity linking, to develop a TCM-QA.
Research on the Construction Method of Intelligent Services Based on Prior Knowledge
The qaio function is a JavaScript and Node.js function that is part of the DropSuit NLP library. It is designed for response search by processing input strings or constructor input, with options of return type. Open-source and available under the Apache License 2.0.
Simple voice assistant made for use in Russian
47811-Sentences-Intention-Annotation-Data-in-Interactive-Scenes
Pre-configured project to get started with Intento quickly.
The capability of an AI model (here, ChatGPT in particular) was tested in the sphere of customer service by availing data from real customers who had recently had experiences dealing with the chatbots or any other language model of an established institute or company.
English Intention Annotation Data
Athena is an Personal Assistant android app build using Api.ai for Intent recognition and 3rd party apis for different services.