gaotrust

Pinned Repositories

CGNet
Language:Python1 0 00
DMDpack
Dynamic Mode Decomposition
Language:Python1 0 00
EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Language:Python1 0 00
FIF
Fast Iterative Filtering
Language:MATLAB1 0 00
FIF2
Multidimensional Fast Iterative Filtering
Language:MATLAB1 0 00
htFIF-dFIF
Hard Thresholding Fast Iterative Filtering (htFIF) and Direct Fast Iterative Filtering (dFIF)
Language:MATLAB10
IMFogram
Time-frequency representation based on Intrinsic Mode Functions (IMFs)
Language:MATLAB1 0 00
Maximum-mean-square-discrepancy
Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis
Language:Python1 0 00
MIF
Multivariate Iterative Filtering (MIF)
Language:MATLAB1 0 00
test1
0 1 00

gaotrust's Repositories

gaotrust/CGNet
Language:Python1 0 00
gaotrust/FIF
Fast Iterative Filtering
Language:MATLAB1 0 00
gaotrust/IMFogram
Time-frequency representation based on Intrinsic Mode Functions (IMFs)
Language:MATLAB1 0 00
gaotrust/MIF
Multivariate Iterative Filtering (MIF)
Language:MATLAB1 0 00
gaotrust/piDMD
MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
Language:MATLAB1 0 0
gaotrust/A2N
PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"
Language:Python0 0
gaotrust/daima
knowledge
1 0
gaotrust/DeepLearning
Language:HTML0 0
gaotrust/EFD
Empirical Fourier decomposition: An accurate signal decomposition method for nonlinear and non-stationary time series analysis
Language:MATLAB0 0
gaotrust/George
Humanoid Bipedal Robot based on the Raspberry Pi
Language:Python0 0
gaotrust/HAM
Hybrid attention module
gaotrust/hydra
HYDRA: Competing convolutional kernels for fast and accurate time series classification
Language:Python0 0
gaotrust/Locally-Adaptive-Activation-Functions-Neural-Networks-
Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks.
Language:Python0 0
gaotrust/MACNN-Pytorch
Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks2021]
gaotrust/minirocket
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
Language:Python0 0
gaotrust/MMD_Loss.Pytorch
A pytorch implementation of Maximum Mean Discrepancies(MMD) loss
gaotrust/MultivariateTimeSeries
Encoding Time Series as Images for Classification using CNNs
Language:Jupyter Notebook0 0
gaotrust/mvMDE
Multivariate Multiscale Dispersion Entropy of Biomedical Times Series
gaotrust/NGDME
Sparse Optimization for Nonlinear Group Delay Mode Estimation
Language:MATLAB0 0
gaotrust/nonlinear-energy-operators
measures to assess frequency-weighted instantaneous energy
gaotrust/PE2DAAPE2D
Permutation entropy and Amplitude-aware permutation entropy 2D
gaotrust/RIF
Risampled Iterative Filtering
Language:MATLAB0 0
gaotrust/rocket
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
gaotrust/Series2Image
Encoding time series as images using GAF operation by pyts.
Language:Python0 0
gaotrust/spade4
Implementation of Sparsity and Delay Embedding based Forecasting of Epidemics (SPADE4)
Language:Jupyter Notebook0 0
gaotrust/SparseRandomModeDecomposition
Sparse Random Mode Decomposition
Language:Jupyter Notebook0 0
gaotrust/tfrogs
Time-Frequency Regularized Overlapping Group Shrinkage
gaotrust/triplet-attention
Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
Language:Jupyter Notebook0 0
gaotrust/TripletAttention
The official implementation of Triplet Attention.
Language:Python0 0
gaotrust/UDTL
Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study" published in TIM