NingMoua's Stars
Xiaohan-Chen/bear_fault_diagnosis
Bearing fault diagnosis model based on MCNN-LSTM
TommyWongww/Sentiment-Text-Classification-Pytorch
sentiment-analysis,document-classification,svm,logistic-regression,rcnn-text-classification, cnn-text-classification, lstm-text-classification, naive-bayes-classifier, sklearn-classify, pytorch
ceren-erkut/Human-Activity-Classification
Classify 6 types of human activity from time series sensor data
Yatharth020/Human-Activity-Detection-
Using LSTM and CNN to classify static and dynamic activities
patrickdmiller/SEED-EEG-Deep-neural-network
residual deep cnn and lstm for classifying SEED data
dwburer/sEMG-Neural-Net
Neural network for classifying electromyographic signals into distinct gestures. Additionally, a comparison of CNN vs LSTM implementations.
SamanKhamesian/Time-Series-Classification-for-Human-Activity-Recognition
An implementation of the CNN-LSTM model for Classifying Time Series Human Activities
vipulSharma18/Automatic-Emotion-Recognition-on-DEAP-Dataset
The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs and Cascaded CNNs with LSTMs.
Pietrosittoni/Deep_Learning_Based_Gait_Classification
This work addresses the classification of six different classes of complicated gait conditions using skeleton tracking and foot pressure data. Advanced machine learning and deep learning algorithms, such as CNN, LSTM, and GRU, are employed to classify the data
RasaHQ/rasa-sdk
SDK for the development of custom actions for Rasa
av-savchenko/face-emotion-recognition
Efficient face emotion recognition in photos and videos
eldar/deepcut
Multi Person Pose Estimation
matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
WXinlong/SOLO
SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.
bubbliiiing/deeplabv3-plus-pytorch
这是一个deeplabv3-plus-pytorch的源码,可以用于训练自己的模型。