239 Open source projects that are alternatives of or similar to question-generation

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.

Sparse and structured neural attention mechanisms

[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.

Attention-guided CNN for image denoising(Neural Networks,2020)

Chinese Poetry Generation

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

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

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

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

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

从零开始学习YOLOv3教程解读代码+注意力模块(SE,SPP,RFB etc)

Implementation of Slot Attention from GoogleAI

Transformer based on a variant of attention that is linear complexity in respect to sequence length

Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention

My take on a practical implementation of Linformer for Pytorch.

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Coherent Semantic Attention for image inpainting(ICCV 2019)

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Attention-based bidirectional LSTM for Classification Task (ICASSP)

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

Unofficial tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/

An Implementation of 'Attention is all you need' with Chinese Corpus

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

attention based joint model for intent detection and slot filling

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Attention mechanism Implementation for Keras.

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Code for paper "Attention on Attention for Image Captioning". ICCV 2019

Pytorch Implementation of PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

Important paper implementations for Question Answering using PyTorch

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Hierarchical Attentive Recurrent Tracking

Implementation of the Point Transformer layer, in Pytorch

Fully featured implementation of Routing Transformer

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

Image Captions Generation with Spatial and Channel-wise Attention

Deep-Learning based CTR models implemented by PyTorch

An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

Train and visualize Hierarchical Attention Networks

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

A simple but complete full-attention transformer with a set of promising experimental features from various papers

Keras Implementation of Aspect based Sentiment Analysis

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

Probabilistic Type Inference using Graph Neural Networks

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

Tensorflow Implement of GeoMAN, IJCAI-18

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

text_recognition_toolbox: The reimplementation of a series of classical scene text recognition papers with Pytorch in a uniform way.

Attention-based multimodal fusion for sentiment analysis

[EMNLP 2019] Mixture Content Selection for Diverse Sequence Generation (Question Generation / Abstractive Summarization)

Sequence to Sequence Models in PyTorch

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)