Pinned Repositories
openvqa
A lightweight, scalable, and general framework for visual question answering research
autumn_2017
杭州电子科技大学 CAMALAB 2017 秋季学期 学习组
bottom-up-attention.pytorch
An PyTorch reimplementation of bottom-up-attention models
HDU-Compilers-Principles-Experiment
This repository is about the experiments of HDU Compilers Principles course.
HDU-Graduate-Algorithm-Design-Experiment
HDU-Graduate-Digital-Image-Processing-Experiment
HDU-Operating-System-Experiment
This repository is about the experiments of HDU Operating System course.
Operations-Research-Lingo-
Python-Project
Python Program & Project
VQA_demo
nbgao's Repositories
nbgao/VQA_demo
nbgao/bottom-up-attention.pytorch
An PyTorch reimplementation of bottom-up-attention models
nbgao/GAN-Landscape-Painting-Photo
Use GAN to generate landscape image (paint->photo / photo->paint)
nbgao/HDU-Graduate-Algorithm-Design-Experiment
nbgao/HDU-Graduate-Digital-Image-Processing-Experiment
nbgao/mt-captioning
A PyTorch implementation of the paper Multimodal Transformer with Multiview Visual Representation for Image Captioning
nbgao/openvqa
A lightweight, scalable, and general framework for visual question answering (VQA) research
nbgao/PaddleSeg
End-to-End Image Segmentation Kits Based on PaddlePaddle. (『飞桨』图像分割开发套件）
nbgao/self-critical.pytorch
Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.
nbgao/VLP
Visual-Language Pretraining
nbgao/attention-cnn
Source code for "On the Relationship between Self-Attention and Convolutional Layers"
nbgao/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
nbgao/CrossDomainFewShot
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
nbgao/daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
nbgao/darknet
Yolo v4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)
nbgao/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
nbgao/DeepLearningInMedicalImagingAndMedicalImageAnalysis
nbgao/DrQA
Reading Wikipedia to Answer Open-Domain Questions
nbgao/hangzhou_mountain
杭州登山地图收集
nbgao/Historical-ranking-data-visualization-based-on-d3.js
这是一个数据可视化项目，能够将历史数据排名转化为动态柱状图图表
nbgao/LeetcodeTop
nbgao/MathModel
研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT
nbgao/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
nbgao/mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
nbgao/MNN
MNN is a lightweight deep neural network inference engine.
nbgao/openai-cookbook
Examples and guides for using the OpenAI API
nbgao/SinGAN
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
nbgao/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
nbgao/UGATIT-pytorch
Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
nbgao/VQA_AlgorithmDatasets