233 Open source projects that are alternatives of or similar to Vqa Tensorflow

Implementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)

Multiple Meta-model Quantifying for Medical Visual Question Answering

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

An alternative EQA paradigm and informative benchmark + models (BMVC 2019, ViGIL 2019 spotlight)

DVQA Dataset: A Bar chart question answering dataset presented at CVPR 2018

Hadamard Product for Low-rank Bilinear Pooling

🚁 保险行业语料库，聊天机器人

Pytorch implementation of NIPS 2017 paper "Modulating early visual processing by language"

基于多搜索引擎和深度学习技术的自动问答

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

Reference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"

Conversational AI Reading Materials

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

https://arxiv.org/abs/1707.00836

Vietnamese question answering system with BERT

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

Arabic Open Domain Question Answering System using Neural Reading Comprehension

😎 A curated list of the Question Answering (QA)

🔎 Search the information available on a webpage using natural language instead of an exact string match.

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

Code for my EMNLP 2018 paper "SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach"

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

Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

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

📙 PHP 面试知识点汇总

A Development Center for the ZeroNet. Tutorials on ZeroNet Zite Development, Collaboration, and Questions

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

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

CloudCV Visual Question Answering Demo

📷 ❓ Visual Question Answering Demo and Algorithmia API

Datasets, SOTA results of every fields of Chinese NLP

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

The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

Knowledge Base Question Answering using memory networks

Visual Question Answering in Pytorch

⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.

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

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

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

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment

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。

PyTorch VQA implementation that achieved top performances in the (ECCV18) VizWiz Grand Challenge: Answering Visual Questions from Blind People

Medical question and answer dataset gathered from the web.

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

Chinese Question Classifier (Keras Implementation) on BQuLD

Visual Q&A reading list

Awesome & Marvelous Amas

Oscar and VinVL

Question answering system developed using seq2seq and memory network model in Keras

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

ADAM - A Question Answering System. Inspired from IBM Watson

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

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。

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

A package built on top of Hugging Face's transformer library that makes it easy to utilize state-of-the-art NLP models

PHPer case interview questions