Wang Junhang（王俊杭）'s starred repositories
MyPlotRepo
Some templates for visualizing data
BeamerStyleSlides
🌈Beamer风格的幻灯片模板集。包含了PowerPoint和Keynote两套格式。
weibo-analysis-and-visualization
使用python抓取微博数据并对微博文本分析和可视化，LDA（树图）、关系图、词云、时间趋势（折线图）、热度地图、词典情感分析（饼图和3D柱状图）、词向量神经网络情感分析、tfidf聚类、词向量聚类、关键词提取、文本相似度分析等
Listed-company-news-crawl-and-text-analysis
从新浪财经、每经网、金融界、**证券网、证券时报网上，爬取上市公司（个股）的历史新闻文本数据进行文本分析、提取特征集，然后利用SVM、随机森林等分类器进行训练，最后对实施抓取的新闻数据进行分类预测
video-subtitle-extractor
视频硬字幕提取，生成srt文件。无需申请第三方API，本地实现文本识别。基于深度学习的视频字幕提取框架，包含字幕区域检测、字幕内容提取。A GUI tool for extracting hard-coded subtitle (hardsub) from videos and generating srt files.
awesome-resume-for-chinese
:page_facing_up: 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护
Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
engine-sim
Combustion engine simulator that generates realistic audio.
free-programming-resources
💎 免费的编程资源大全，持续更新！🔥 覆盖各种语言和方向（Java \ Python \ C++ \ JavaScript \ Golang \ 前端 \ 后端等）的学习路线、贴心教程、项目实战、编程书籍、面试合集、实用资源等，对程序员非常有帮助！
ShuffleNet_V2_pytorch_caffe
ShuffleNet-V2 for both PyTorch and Caffe.
simple-HigherHRNet
Multi-person Human Pose Estimation with HigherHRNet in Pytorch, with TensorRT support
simple-HRNet
Multi-person Human Pose Estimation with HRNet in Pytorch
MocapNET
We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance
awesome_lightweight_networks
The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐
HigherHRNet-Human-Pose-Estimation
This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)
Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
GAST-Net-3DPoseEstimation
A Graph Attention Spatio-temporal Convolutional Networks for 3D Human Pose Estimation in Video (GAST-Net)
Online-Skeleton-based-Action-Recognition
Online 3D skeleton-based action recognition with a single RGB camera
Integral-Human-Pose-Regression-for-3D-Human-Pose-Estimation
PyTorch implementation of "Integral Human Pose Regression", ECCV 2018
PoseFormer
The project is an official implementation of our paper "3D Human Pose Estimation with Spatial and Temporal Transformers".
EverybodyDanceNow_reproduce_pytorch
Everybody dance now reproduced in pytorch
VideoPose3D
Efficient 3D human pose estimation in video using 2D keypoint trajectories
transmomo.pytorch
This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".