599 Open source projects that are alternatives of or similar to Nlu_sim

基于自然语言理解与机器学习的聊天机器人，支持多用户并发及自定义多轮对话

[[I'm slow at replying these days, but I hope to get back to answering questions eventually]] Ask me anything!

【C++ 面试 + C++ 学习指南】 一份涵盖大部分 C++ 程序员所需要掌握的核心知识。

中文心理问答数据集

Ama Laravel? Torne se um Jedi e Ajude outros Padawans

Questions & Answers platform on Rails - stackoverflow clone

A question answering system for RDF knowledge graphs.

A simple Q&A App

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

基于语义理解、知识图谱的聊天机器人

AI Tool for querying natural language on tabular data.

📲 Bot to help solve HQ trivia

dialogbot, provide search-based dialogue, task-based dialogue and generative dialogue model. 对话机器人，基于问答型对话、任务型对话、聊天型对话等模型实现，支持网络检索问答，领域知识问答，任务引导问答，闲聊问答，开箱即用。

Papers and Book to look at when starting NLP 📚

Ответы на вопросы на должность Frontend разработчика.

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

This repo collects and re-produces models related to domains of question answering and machine reading comprehension

An InformationGain based Question Answering over knowledge Graph system.

Extraction of the five journalistic W-questions (5W) from news articles

🤔 Farto de fazer perguntas e não ser respondido? Aprenda agora a melhor forma de fazer uma pergunta 🔥

Percona QA is a suite of scripts and utilities that assists in building, continuous integration, automated testing & bug reporting for Percona Server, Percona XtraDB Cluster, Percona XtraBackup, Percona Server for MongoDB, as well as other flavors of MySQL (Oracle, Facebook MyQSL, WebScaleSQL, MariaDB) etc.

DeepfakeHTTP is a web server that uses HTTP dumps as a source for responses.

Aquality Selenium is a library built over Selenium WebDriver tool that allows to automate work with web browsers. Selenium WebDriver requires some skill and experience. So, Aquality Selenium suggests simplified and most importantly safer and more stable way to work with Selenium WebDriver.

A KBQA system based on DBpedia.

An awesome curated list of the most recent QA job openings in Portugal 🇵🇹 updated every day! 🆕

Test Automation Framework using selenium and Python

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

QA site with Python/Django

Multiple Meta-model Quantifying for Medical Visual Question Answering

基于法律裁判文书的事件抽取及其应用，包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容

pkgcore-based QA utility for ebuild repos

HTTP requests collector to test webhooks, notifications, REST clients and more ...

离线端阅读理解应用 QA for mobile, Android & iPhone

LanguageCrunch NLP server docker image

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

Experimental Haskell machine learning library

Wren enables users to discover and explore daily news stories 🗞️📻 📺

Product-Aware Answer Generation in E-Commerce Question-Answering

Read and use word2vec vectors in Go

🔮 Answering multiple choice questions with Language Models.

⛔ [NOT MAINTAINED] A web interface for cdQA and other question answering systems.

Compass-aligned Distributional Embeddings. Align embeddings from different corpora

Extensible Android mobile voice framework: wakeword, ASR, NLU, and TTS. Easily add voice to any Android app!

iOS (swift, objc)개발을 하면서 알게된 질문과 답변 모음.😀

A collection of resources to make a smart speaker

The MEGA interview guide, JavaSciript, Front End, Comp Sci

TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.

Pytorch implementation of "Dynamic Coattention Networks For Question Answering"

A parallel implementation of word2vec based on Spark

Code and Data for ICLR2021 Paper "Open Question Answering over Tables and Text"

SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases, AAAI 2020

source code audit tool

SQuAD Question Answering Using BERT, PyTorch

Список ресурсов на тему QA

Participant Kit for the TextGraphs-15 Shared Task on Explanation Regeneration

Keras-Based LSTM Conv model for Question Selection

KgCLUE: 大规模中文开源知识图谱问答

TensorFlow Models for the Stanford Question Answering Dataset

How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).