Vedeus Shun's starred repositories
weiboSpider
新浪微博爬虫,用python爬取新浪微博数据
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
PaddleVideo
Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.
NeteaseMusicWxMiniApp
仿网易云音乐APP的微信小程序
ActivityNet
This repository is intended to host tools and demos for ActivityNet
Cognitive-Speech-TTS
Microsoft Text-to-Speech API sample code in several languages, part of Cognitive Services.
ActionCLIP
This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"
deep-learning-HAR
Convolutional and LSTM networks to classify human activity
resemble-unity-text-to-speech
Resemble's voice cloning engine within Unity
nexmon_csi
Channel State Information for Raspberry Pi. Use the pi-5.10.92 branch.
lstm_multi_modal_UNet
[ICIVC 2019] "LSTM multi-modal UNet for Brain Tumor Segmentation"
Wifi-Activity-Recognition
This repository houses all files and research done for the purpose of building a system that is capable of making tracking a human using Wifi/ Radio waves.
mr-brain-tissue-segmentation
[ICIP'19] LSTM-MA: A LSTM Method with Multi-modality and Adjacency Constraint for Brain Image Segmentation (Oral)
human_action_recognition
人体动作识别相关研究
auditory_hallucinations_CNN-LSTM
Using CNN-LSTM networks to learn multi-modal representations of the marimba
ActionRecognize
基于深度学习的视频行为识别
multi_lstm
multiple lstms inspired by empirical modal decomposition
LDIL-MATLAB
A Low-cost Device-free Indoor Localization Tool for Long-term Care
ActivityRecognitionLSTM
Using disturbance of Wifi CSI signals, we attempt to recognize a user's activities
Device-Free-Localization-with-Sparse-Coding
Huang, Huakun, Haoli Zhao, Xiang Li, Shuxue Ding, Lingjun Zhao, and Zhenni Li. "An accurate and efficient device-free localization approach based on sparse coding in subspace." Ieee Access 6 (2018): 61782-61799.