459 Open source projects that are alternatives of or similar to Keras Question And Answering Web Api

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

This is a smart Quiz Generator that generates a dynamic quiz from any uploaded text/PDF document using NLP. This can be used for self-analysis, question paper generation, and evaluation, thus reducing human effort.

[unmaintained]

End-to-end neural table-text understanding models.

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

A curated list of papers dedicated to neural text (semantic) matching.

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

ADAM - A Question Answering System. Inspired from IBM Watson

北航大数据高精尖中心研究张日崇团队对问答系统的调研。包括知识图谱问答系统（KBQA）和文本问答系统（TextQA），每类系统分别对学术界和工业界进行调研。

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

https://arxiv.org/abs/1707.00836

End-to-end ASR/LM implementation with PyTorch

😎 A curated list of the Question Answering (QA)

Sequence-to-Sequence Framework in PyTorch

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

Multiple implementations for abstractive text summurization , using google colab

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

Remote Access Tool

Neural conversational model in Torch

Generating bash command from natural language https://arxiv.org/abs/1802.08979

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

Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

Paper reading list in natural language processing, including dialogue systems and text generation related topics.

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

Whatis bot server for Slack!

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Sequence to Sequence Models with PyTorch

Minimalist NMT for educational purposes

A web frontend for the Chef server index

A deep NLP library, based on Keras / tf, focused on question answering (but useful for other NLP too)

基于多搜索引擎和深度学习技术的自动问答

A list of recent papers about Graph Neural Network methods applied in NLP areas.

Contextualise is a simple but effective tool particularly suited for organising information-heavy projects and activities consisting of unstructured and widely diverse data and information resources

Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"

An open source library for deep learning end-to-end dialog systems and chatbots.

Sequence to sequence learning using TensorFlow.

Self-contained Machine Learning and Natural Language Processing library in Go

Implementation of State-of-the-art Text Classification Models in Pytorch

End-To-End Memory Networks for bAbI question-answering tasks

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

🚁 保险行业语料库，聊天机器人

Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow

Play couplet with seq2seq model. 用深度学习对对联。

Pytorch seq2seq chatbot

Starter repository for the Introductions to API course

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

Tensorflow seq2seq Implementation of Text Summarization.

This repository contains a new generative model of chatbot based on seq2seq modeling.

Repository for the article "Learn Kubernetes in Under 3 Hours"

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

Sequence-to-Sequence learning using PyTorch

从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。

A collection of research on knowledge graphs

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN