nlu-engine
There are 32 repositories under nlu-engine topic.
kreeben/resin
Vector space index based search engine that's available as a HTTP service or as an embedded library.
MahmoudWahdan/dialog-nlu
Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU
spokestack/react-native-spokestack
Spokestack: give your React Native app a voice interface!
anuragmishra1/alter-nlu
Natural language understanding library for chatbots with intent recognition and entity extraction.
GeniSysAI/NLU
The GeniSys NLU Engine includes a combination of a custom trained DNN (Deep Learning Neural Network) built using TFLearn for intent classification, and a custom trained MITIE model for entity classification.
felipem1210/freetalkbot
Implementation of communication channels to interact with LLM/NLU bot assistants.
jovotech/snips-nlu-server
An open source natural language understanding (NLU) server
xatkit-bot-platform/xatkit-nlu-server
A flexible and pragmatic chatbot intent classifier for chatbots
Rishabbh-Sahu/intent_and_slot_classification
One of the main NLU tasks is to understand the intents (sequence classification) and slots (entities within the sequence). This repo help classify both together using Joint Model (multitask model). BERT_SMALL is used which can be changed to any other BERT variant.
I-am-sayantan/public-sentiment-analysis-based-on-twitter-hashtags
This project focuses on sentiment analysis. Social Sentiment analysis is the use of natural language processing (NLP) to analyze social conversations online and determine deeper context as they apply to a topic, brand or theme.
BobLd/SnipsNlu
Snips NLU C# wrapper library to extract meaning from text
ccoreilly/rasa-nlu-microservice
A microservice with caching support for parsing text and training models with Rasa NLU
secretsauceai/NLU-engine-prototype-benchmarks
Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.
garfix/richard
A Natural Language Understanding and Execution framework for Python
encrystudio/intently-nlu
Python library to extract intention and structured information from sentences written in natural language
hazemhosny/Chatbot_Countries
Customized user friendly AI bot
malik727/snips-model-agl
A repository which contains dataset and a pre-trained Snips model for the Automotive Grade Linux's NLU intent engine.
secretsauceai/nlu-nlg-engine
Encoder-Decoder zero shot domain (skill), intent, and entity tagging NLU model with a zero-shot NLG for generating voice assistant responses. All in one!
datarocksAmy/Intent-based-Anomaly-Seeker
Find outlier/anomaly for multi-class intents using Snips NLU
Jamescruz424/Building-a-Language-Understanding-and-Question-Answering-System-using-Jeopardyl-Dataset
This repository contains the code and resources for building a language understanding and question answering system using the Jeopardy! dataset. The project aims to train a language understanding model to extract meaning from open-ended questions and leverage that understanding to answer the questions using a dedicated QA system.
Saphron-Asia/nan.ai-ml-nlu
NAN.ai Natural Language Understanding (NLU) is an open source machine learning service built for nan.ai support chatbot.
secretsauceai/NLU-snips-converter
Quick and dirty solution to convert CSV training data into Snips JSON format and train an engine
tamazight-nlu/NLP
Natural language processing for Tamazight language
wuabit/snips-nlu-docker
Snips NLU docker base image
Hexastack/hexabot-helper-ludwig
Ludwig Helper for Hexabot to be able to perform NLU inference.
Hexastack/hexabot-ludwig-nlu
Hexabot NLU Engine using the Ludwig Framework
JairNeto1/hanave
Hackathon to create an IA chatbot within 10 days.
SalmanHaydar/multilingual-nlu-engine
A multilingual NLU engine for chatbot. Which supports Bangla, Banglish and English.
SkNuwanTissera/CLIbot
AIML (Artificial Intelligence Markup Language) is an XML dialect for creating natural language software agents. It contains the basic rules which Natural Language Understanding (NLU) unit uses internally. It can be think of as a heart of the engine. The more rules we add in AIML – the more intelligent our Chatbot will be.
Thukyd/EntityCheck
Script to check for duplicates/special characters within entity lists