Pinned Repositories
Activity-Recognition
🚀 手机加速度传感器数据进行人体行为识别
Activity_Recognition_Modelling
An application that builds ML models in recognising activity from inertial sensors data
AudioClassification-Pytorch
基于Pytorch实现的声音分类
ceres-solver
CNN-for-HAR-on-WISDM-Dataset
CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)
Deep-learning-activity-recognition
A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)
DROID-SLAM
github-slideshow
A robot powered training repository :robot:
GSLAM
A General Simultaneous Localization and Mapping Framework which supports feature based or direct method and different sensors including monocular camera, RGB-D sensors or any other input types can be handled.
happy-delivery-SUSTech
YQChen8's Repositories
YQChen8/Activity-Recognition
🚀 手机加速度传感器数据进行人体行为识别
YQChen8/Activity_Recognition_Modelling
An application that builds ML models in recognising activity from inertial sensors data
YQChen8/AudioClassification-Pytorch
基于Pytorch实现的声音分类
YQChen8/ceres-solver
YQChen8/CNN-for-HAR-on-WISDM-Dataset
CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)
YQChen8/Deep-learning-activity-recognition
A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)
YQChen8/DROID-SLAM
YQChen8/github-slideshow
A robot powered training repository :robot:
YQChen8/GSLAM
A General Simultaneous Localization and Mapping Framework which supports feature based or direct method and different sensors including monocular camera, RGB-D sensors or any other input types can be handled.
YQChen8/happy-delivery-SUSTech
YQChen8/HAR-on-Smartphone
development an Android APP to implement human activity recognition on smartphone in real time
YQChen8/HAR-using-PyTorch
Implement Human Activity Recognition in PyTorch using hybrid of LSTM, Bi-dir LSTM and Residual Network Models
YQChen8/HARBox-code
YQChen8/MicroPython_ESP32_psRAM_LoBo
MicroPython for ESP32 with psRAM support
YQChen8/My-TTGO-Watch
A GUI named hedge for smartwatch like devices based on ESP32. Currently support for T-Watch2020 (V1,V2,V3), T-Watch2021, M5Paper, M5Core2 and native Linux support for testing.
YQChen8/opencv-eye-tracking
OpenCV Python code for left and right eye motion controls
YQChen8/opencv_contrib
Repository for OpenCV's extra modules
YQChen8/PyGraphSLAM
Python implementation of Graph SLAM
YQChen8/PyLOAM
Python implementation of LOAM (Lidar Odometry and Mapping) for rapid prototyping or educational purpose
YQChen8/Rigid3DSceneFlow
[CVPR 2021, Oral] "Weakly Supervised Learning of Rigid 3D Scene Flow"
YQChen8/S-LOAM
S-LOAM(Simple LOAM) 是一种简单易学的激光SLAM算法,整个程序只有几百行代码,十分方便学习与试验分析。
YQChen8/selfsupervised_flow
Code for Paper "Self-Supervised LiDAR Scene Flow and Motion Segmentation"
YQChen8/SSF-SLAM
YQChen8/ssl-3d-detection
YQChen8/T-Watch-2019-reissue-peak
YQChen8/training-kit
Open source on demand courses and cheat sheets for Git and GitHub
YQChen8/TS-TCC
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
YQChen8/TTGO_TWatch_Library
YQChen8/VoiceprintRecognition-Pytorch
本项目使用了EcapaTdnn模型实现的声纹识别
YQChen8/WISDM---Biometric-time-series-data-classification
Deep learning, classification on the WISDM dataset