630 Open source projects that are alternatives of or similar to CompareModels_TRECQA

Important paper implementations for Question Answering using PyTorch

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

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

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

Pytorch implementation of "Dynamic Coattention Networks For Question Answering"

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

Sentiment Analysis: Deep Bi-LSTM+attention model

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.

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Question Answering System using BiDAF Model on SQuAD v2.0

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

The official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".

金融问答平台文本数据采集/爬取，数据源涉及上交所，深交所，全景网及新浪股吧

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

Flask API to productize a document classification model. Classification model was built using Keras with tensorflow backend

Do NLP without coding!

An InformationGain based Question Answering over knowledge Graph system.

Various implementations and projects on CNN, RNN, LSTM, GAN, etc

Original implementation of QA4IE

Code for EMNLP-IJCNLP 2019 MRQA Workshop Paper: "Domain-agnostic Question-Answering with Adversarial Training"

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

📄 Complete collection of Urdu language characters & unicode code points.

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch

A Deep-Learning multi-purpose chatbot made using Python3

Code and resources for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021

Fast Differentiable Forest lib with the advantages of both decision trees and neural networks

a collection of visualization function

Persian (Farsi) Question Answering Dataset (+ Models)

Using LSTM or Transformer to solve Image Captioning in Pytorch

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index (DenSPI)

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

.NET library to easily create Voice Command Control feature.

A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering

🎬 Video Captioning: ICCV '15 paper implementation

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

Environment that can be used to evaluate reasoning capabilities of artificial agents

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

attention mechanism in keras, like Dense and RNN...

Memes - why so popular?

Named-Entity-Recognition Workshop

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

Augmented version of SQUAD 2.0 for Questions

No description or website provided.

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

Internet Delivered Treatment using Adaptive Technology

Arbitrary Style Transfer with Style-Attentional Networks

PororoQA, https://arxiv.org/abs/1707.00836

⭐️🐟 questionnaire wechat app built with taro, taro-ui and heart. 微信问卷小程序

Implementation of A Structured Self-attentive Sentence Embedding

A dataset of complex questions on semi-structured Wikipedia tables

Source code for Delving Deeper into the Decoder for Video Captioning

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

No description or website provided.

Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention

自然语言处理常见任务（主要包括文本分类，序列标注，自动问答等）解决方案试验田

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

Conversational Question Answering on Clinical Text

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch