Vedeus Shun's starred repositories
weiboSpider
新浪微博爬虫,用python爬取新浪微博数据
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.
LDIL-MATLAB
A Low-cost Device-free Indoor Localization Tool for Long-term Care
NeteaseMusicWxMiniApp
仿网易云音乐APP的微信小程序
Cognitive-Speech-TTS
Microsoft Text-to-Speech API sample code in several languages, part of Cognitive Services.
nexmon_csi
Channel State Information for Raspberry Pi. Use the pi-5.10.92 branch.
deep-learning-HAR
Convolutional and LSTM networks to classify human activity
resemble-unity-text-to-speech
Resemble's voice cloning engine within Unity
multi_lstm
multiple lstms inspired by empirical modal decomposition
ActivityRecognitionLSTM
Using disturbance of Wifi CSI signals, we attempt to recognize a user's activities
auditory_hallucinations_CNN-LSTM
Using CNN-LSTM networks to learn multi-modal representations of the marimba
mr-brain-tissue-segmentation
[ICIP'19] LSTM-MA: A LSTM Method with Multi-modality and Adjacency Constraint for Brain Image Segmentation (Oral)
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.
ActionRecognize
基于深度学习的视频行为识别
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.
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
ActivityNet
This repository is intended to host tools and demos for ActivityNet
ActionCLIP
This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"
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
human_action_recognition
人体动作识别相关研究