There are 39 repositories under intent-classification topic.
An open source library for deep learning end-to-end dialog systems and chatbots.
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)
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.
Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.
CNN for intent classification task in a Chatbot
Open source library for few shot NLP
Natural language understanding library for chatbots with intent recognition and entity extraction.
reference pytorch code for intent classification
Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...
Dataset Release for Intent Classification from Speech
DIET Classifier mini implementation on pytorch.
Implementation of Z-BERT-A: a zero-shot pipeline for unknown intent detection.
Implementing a voice enabled chatbot which converses with a user via their voice in natural language. Website: https://scalability4all.github.io/
Natural Language Processing
Natural language interface for the command line.
[RA-L20] Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...
AI assistant using Google TTS/STT, Keras, NLTK, Spacy, GPT-3, GPT-4, Hugging Face, Home Assistant, Spotify, and more.
Codify enables data scientists to perform all the tedious and time-consuming tasks such as EDA (exploratory data analysis), data cleaning, data pre-processing, data visualization, modeling, and evaluation in the data-science life cycle, by only conveying the logic of the task in natural language (English) and the system will automatically give out all the relevant python code snippets.
Annabelle the noob. An experimental, incomplete(at present) chatbot.
Code Implementation of TDS Article "Semi-supervised Intent Classification with GAN-BERT"
A flexible and pragmatic chatbot intent classifier for chatbots