PuYunXing's Stars
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
docmirror/dev-sidecar
开发者边车,github打不开,github加速,git clone加速,git release下载加速,stackoverflow加速
philipperemy/keras-tcn
Keras Temporal Convolutional Network.
philipperemy/cond_rnn
Conditional RNNs for Tensorflow / Keras.
mukhlishga/gnn-powerflow
Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My Master Thesis at Eindhoven University of Technology
flaviagiammarino/deep-tcn-tensorflow
TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.
Schichael/TCN_Seq2Seq
TCN-based sequence-to-sequence model for time series forecasting.
Everbright52/NEUFaultDiagnosis403
Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-frequency representations. Leverage deep learning for precise diagnosis. Open-source for collaboration, advancing bearing fault diagnosis.
hanleixie/tcn
时间卷积
PuYunXing/PEMEC-comsol
The pulsed electromagnetic eddy current (PEMEC) method is proposed for detecting the defects of broken strands in aluminum conductor steel reinforced (ACSR) conductors.
felipeagarcia/tcn
Implementation of a Temporal Convolutional Network
PuYunXing/Triaxial-probe-design-updating
We design a circumferential triaxial electromagnetic probe to detect damage to overhead high-voltage transmission lines, such as broken strands, corrosion, and lightning strikes. This paper validates the effectiveness of this approach through 3D COMSOL simulations and experimental verification.
shouchain/TCN-trying
practicing with TCN