xinyang-kul

attentioned-dual-stage-stock-prediction

By PyTorch

awesome-latex-drawing

Drawing Bayesian networks, graphical models, and technical frameworks in LaTeX.

awesome_slam_computer_vision_resources

记录3D视觉、VSLAM、计算机视觉的干货资料。

BayesianLSTM-for-Time-series-Prediction

Bayesian LSTM for time-series prediction.

ConvRNN_for_RUL_estimation

Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".

cracks_segmentation_dataset

All in one cracks segmentation dataset()

da-rnn

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

DA-RNN-1

📃 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

Lithium-ion-RUL-Prediction

UCTB

xinyang-kul/Lithium-ion-RUL-Prediction

xinyang-kul/UCTB

xinyang-kul/attentioned-dual-stage-stock-prediction

By PyTorch

xinyang-kul/awesome-latex-drawing

Drawing Bayesian networks, graphical models, and technical frameworks in LaTeX.

xinyang-kul/awesome_slam_computer_vision_resources

记录3D视觉、VSLAM、计算机视觉的干货资料。

xinyang-kul/BayesianLSTM-for-Time-series-Prediction

Bayesian LSTM for time-series prediction.

xinyang-kul/da-rnn

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

xinyang-kul/DA-RNN-1

📃 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

xinyang-kul/Deep-learning-in-PHM

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

xinyang-kul/deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

xinyang-kul/GDKL

Code that accompanies the paper Guided Deep Kernel Learning

xinyang-kul/Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction

Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.00685

xinyang-kul/Life-Prediction

xinyang-kul/LSTM_ensemble

Uncertainty in LSTM using MC-dropout and ensembling

xinyang-kul/ML-NDT

Data and code for training deep convolutional neural network to detect cracks in phased-array ultrasonic data.

xinyang-kul/mnist

xinyang-kul/multivariate-time-series-prediction

This code is the implementation of this paper (Multistage attention network for multivariate time series prediction)

xinyang-kul/PlotNeuralNet

Latex code for making neural networks diagrams

xinyang-kul/Probabilistc_Machine_Learning_Models

This Repository contains various probabilistic Machine Learning models for regression tasks

xinyang-kul/pysindy

A package for the sparse identification of nonlinear dynamical systems from data

xinyang-kul/pytorch-lstm-by-hand

A small and simple tutorial on how to craft a LSTM nn.Module by hand on PyTorch.

xinyang-kul/Sensor-Based-Human-Activity-Recognition-LSTMsEnsemble-Pytorch

Ensembles of Deep LSTM Learners for Human Activity Recognition using Wearables in Pytorch

xinyang-kul/TBtools

GUI/CommandLine Tool Box for biologistists to utilize NGS data.

xinyang-kul/techniques

Techniques for deep learning with satellite & aerial imagery

xinyang-kul/TheFiniteElementMethodUsingMatlab

xinyang-kul/Time-Series-ARIMA-XGBOOST-RNN

Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

xinyang-kul/transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

xinyang-kul/ultrasonic-c-scan-segmentation-for-composites

Processes C-scans, calculates time-of-flight, identifies contours of damaged regions, and creates a 3D reconstruction of the damage state

xinyang-kul/uncertainty_estimation_deep_learning

This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2020).

xinyang-kul/xinyang-kul.github.io