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.
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...
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.
DIET Classifier mini implementation on pytorch.
Dataset Release for Intent Classification from Speech
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
[RA-L20] Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM
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.
Natural language interface for the command line.
AI assistant using Google TTS/STT, Keras, NLTK, Spacy, GPT-3, GPT-4, Hugging Face, Home Assistant, Spotify, and more.
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...
MIntRec 2.0 is the first large-scale dataset for multimodal intent recognition and out-of-scope detection in multi-party conversations (ICLR 2024)
This repository contains a short introduction on the topic of audio and speech processing -- from basics to applications.
Annabelle the noob. An experimental, incomplete(at present) chatbot.