AIstudentSH's repositories
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"
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-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...