chenyangxie102

-GANimate-Deep-Learning-based-Future-Image-Prediction-from-a-Single-Input-Image

-Image-Processing-and-Fourier-Analysis-with-MATLAB-Visualizing-the-Frequency-Spectrum-of-JPEG-Image

Image Processing Pipeline This code reads in all .jpg files in the current directory, applies a series of preprocessing steps to each image, and displays the original images along with the corresponding processed images using a slider.

ADRepository-Anomaly-detection-datasets

Popular real-world datasets for anomaly detection on tabular data, graph data, image data, time series data, and video data

CellularAutomata

Micro-structure Grain Growth Simulation

ConvLSTM-CNN-for-tropical-cyclone

Images timeseries sequence with ConvLSTM for windspeed prediction & CNN cyclone intensity

ConvLSTM-image-prediction

Predict pictures based on ConvLSTM

deep-learning-time-series

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

DXViewer

DirectX 12 framework for physics simulation.

forecasting-with-time-series-imaging

time series forecasting with image

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

chenyangxie102/ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

chenyangxie102/-GANimate-Deep-Learning-based-Future-Image-Prediction-from-a-Single-Input-Image

chenyangxie102/-Image-Processing-and-Fourier-Analysis-with-MATLAB-Visualizing-the-Frequency-Spectrum-of-JPEG-Image

Image Processing Pipeline This code reads in all .jpg files in the current directory, applies a series of preprocessing steps to each image, and displays the original images along with the corresponding processed images using a slider.

chenyangxie102/ADRepository-Anomaly-detection-datasets

Popular real-world datasets for anomaly detection on tabular data, graph data, image data, time series data, and video data

chenyangxie102/CellularAutomata

Micro-structure Grain Growth Simulation

chenyangxie102/ConvLSTM-CNN-for-tropical-cyclone

Images timeseries sequence with ConvLSTM for windspeed prediction & CNN cyclone intensity

chenyangxie102/ConvLSTM-image-prediction

Predict pictures based on ConvLSTM

chenyangxie102/deep-learning-time-series

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

chenyangxie102/DXViewer

DirectX 12 framework for physics simulation.

chenyangxie102/forecasting-with-time-series-imaging

time series forecasting with image

chenyangxie102/GAN-ConvLSTM

GAN based ConvLSTM in precipitation prediction (Trial Version)

chenyangxie102/GrainGraphNN

graph neural networks for grain growth simulations

chenyangxie102/GrainGrowthSoluteDrag

chenyangxie102/HGAN-TyphoonCloudVisualPrediction

Typhoon Cloud Prediction, Future Image Generation, Hierarchical Generative Adversarial Networks

chenyangxie102/ImageProcessing

In this project,

chenyangxie102/MatlabSamples

:monocle_face: Matlab Samples :alien: keep updating

chenyangxie102/PFST-LSTM

This is a Pytorch implementation of PFST-LSTM, a recurrent model for precipitation nowcasting (radar echo extrapolation) as described in the following paper: PFST-LSTM: a SpatioTemporal LSTM Model with Pseudo-flow Prediction for Precipitation Nowcasting

chenyangxie102/phase-field

phase-field model of ice-shelf fracture

chenyangxie102/Phase_field_code

simulate by solving the phase-field equations using a centered finite difference method（or FEM), and the video of matlab lesson

chenyangxie102/Snow-PhaseField

Crystalline growth of dendrite snow simulated by phase field with Taichi-based cross-platform parallel (CPU/GPU) computing

chenyangxie102/Video-Frame-Prediction

In this repository, we focus on video frame prediction the task of predicting future frames given a set of past frames. We present an Adversarial Spatio-Temporal Convolutional LSTM architecture to predict the future frames of the Moving MNIST Dataset. We evaluate the model on long-term future frame prediction and its performance of the model on out

chenyangxie102/visual-chatgpt-zh

visual-chatgpt支持中文版本

chenyangxie102/XFEM

This is a Matlab program that can be used to solve fracture problems involving arbitrary multiple crack propagations in a 2D linear-elastic solid based on the principle of minimum potential energy.