Kolmogorov–Arnold Networks with modified activation (using fully connected network to represent the activation)

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Bearing Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

SQ dataset for fault diagnosis pulished by Xi'an jiaotong University

Collection of generative models in Tensorflow

This repo contains the notebooks that is used in Medium posts.

Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

Probabilistic reasoning and statistical analysis in TensorFlow

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A MATLAB package for CEEMDAN (Complete Ensemble Empirical Mode Decomposition with Adaptive Noise)

Perform a LOESS curve fitting on a set of data points.

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

For better estimation of aero-engine RUL, we concatenate 1-D CNN and LSTM in a parallel structure.

the loader for common open source mechanical fault diagnosis datasets (CWRU, MFPT, SouthEast Uni., Paderborn Uni.)

"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

CNN architecture exploration using Genetic Algorithm

This repo contains all the projects that I have personally undertaken to enhance my skills and understand behavior of data and associated patterns or best-fitted predictions.

to prediction the remain useful life of bearing based on 2012 PHM data

PyTorch Implementation of SAE from AtoZ

A simple LSTM net for mnist dataset using TensorFlow

基于cnn和lstm的动作视频序列识别

Practice Tensorflow GAN for MNIST

AlexNet model from ILSVRC 2012

ICSE'18: Tuning Smote

TSNE-Visualization of large dataset images using pre-trained networks in Tensorflow and Keras

Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute