AIstudentSH

AdaBound

An optimizer that trains as fast as Adam and as good as SGD.

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-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

block.bootstrap.pytorch

BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models

bottom-up-attention

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

Credit-Card-Recognition

A python program to extract the vital information from credit card image such as type of card, card number, card holder's name and validity date using OCR-A font recognition in openCV

Cross_Modality_Relevance

The source code of ACL 2020 paper: "Cross-Modality Relevance for Reasoning on Language and Vision"

esayTry

FD-CNN

ADL and Fall Detection

HumanFallDetection

Real-time, Multi-person & Multi-camera Fall Detector in Python

lxmert

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

mcan-vqa

Deep Modular Co-Attention Networks for Visual Question Answering

n2nmn

Code release for Hu et al. Learning to Reason: End-to-End Module Networks for Visual Question Answering. in ICCV, 2017

PlotNeuralNet

Latex code for making neural networks diagrams

pythia

A modular framework for Visual Question Answering research by the FAIR A-STAR team

python_interview_question

关于python的面试题

self_critical_vqa

Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''

show-me-the-code

Python 练习册，每天一个小程序

SpanBERT

Code for using and evaluating SpanBERT.

SVM-w-SMO

Simple implementation of a Support Vector Machine using the Sequential Minimal Optimization (SMO) algorithm for training.

VCTree-Visual-Question-Answering

Code for the Visual Question Answering (VQA) part of CVPR 2019 oral paper: "Learning to Compose Dynamic Tree Structures for Visual Contexts"

vilbert-multi-task

Multi Task Vision and Language

VL-BERT

Code for the paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

vqa-mfb

vqa-project

Code for our paper: Learning Conditioned Graph Structures for Interpretable Visual Question Answering

vqa-sva

Structured Attentions for Visual Question Answering

vqa.pytorch

Visual Question Answering in Pytorch

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

VQA2019

Our approach to tackle the task of Visual Question Answering

Waking-Up

计算机基础面试问题全面总结，包含详细的follow-up question以及答案；模拟面试，知识点复习，快速备战面试...