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a-pytorch-tutorial-to-image-captioning

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

awesome-visual-question-answering

A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.

bert_paper_chinese_translation

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 论文的中文翻译 Chinese Translation!

captainblackboard

船长关于机器学习、计算机视觉和工程技术的总结和分享

cs564sql

CS564 2014 Fall SQL Assignment

dagcn

Dual Attention Graph Convolutional Network

danser-www-19

deeplearning-notes

Statistical learning by Lihang

disavr

dl.github.io

dvqa

Implementation of the paper DVQA: Understanding Data Visualizations via Question Answering [CVPR 2018].

faster-rcnn.pytorch

figureqa-baseline

TensorFlow implementation of the CNN-LSTM, Relation Network and text-only baselines for the paper "FigureQA: An Annotated Figure Dataset for Visual Reasoning"

graphrec-www19

Graph Neural Networks for Social Recommendation, WWW'19

graphrec_pytorch

A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)

lxmert

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

mt-reading-list

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

murel.bootstrap.pytorch

MUREL (CVPR 2019), a multimodal relational reasoning module for VQA

notes

Research Notes

nscl-pytorch-release

PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).

o2o-coupon-usage-forecast

1st Place Solution for O2O Coupon Usage Forecast

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch_memonger

Experimental ground for optimizing memory of pytorch models

ramen

tallyqacode

Code for tallyqa published in AAAI 2018

transformer-tensorflow

Implementation of Transformer Model in Tensorflow

vqa2.0-recent-approachs-2018.pytorch

A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures", "Learning to count object", "Bottom-up top-down" for Visual Question Answering 2.0

vqa_regat

A pyTorch implementation of Relation-aware Graph Attention Network for Visual Question Answering.