huxiaobing8's Stars
GT-Vision-Lab/VQA_LSTM_CNN
Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.
zhoubolei/VQAbaseline
Simple Baseline for Visual Question Answering
abhshkdz/neural-vqa
:grey_question: Visual Question Answering in Torch
GT-Vision-Lab/VQA
Element-Research/rnn
Recurrent Neural Network library for Torch7's nn
noisychannel/mt-rnn
An RNN based encoder-decoder model for Machine Translation