aistudentsh Goto Github PK

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-mcb

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