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deep learning for image processing including classification and object-detection etc.
ShihaoCui / deep-learning-for-image-processing
Forked from WZMIAOMIAO/deep-learning-for-image-processingdeep learning for image processing including classification and object-detection etc.
ShihaoCui / dt-wavelet
Forked from shujuanmao/dt-waveletCodes for measuring travel-time shifts by seismic interferometry in the time-frequency domain with wavelet cross-spectrum analysis.
Tissue elasticity is measured by a dynamic ultrasound imaging technique called shear wave elasticity imaging. Biological tissue, being viscoelastic, affects shear wave speed measurement. Shear wave…
Code to recreate the tutorial and figures in the book chapter.
📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
A toolbox for BAS and BAS-based optimization algorithms
An easy-to-modify and easy-to-follow re-implementation of CycleGAN (cycle-consistent generative adversarial network) in PyTorch
Python package for surface wave processing.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sa…
The code package is expected to solve the mode-losses and mode-aliases of the inversion for the multimodal surface wave dispersion curves.
ShihaoCui / SWPVPSEKMInv
Forked from wallacedos/SWPVPSEKMInvThe code package is expected to solve the mode-losses and mode-aliases of the inversion for the multimodal surface wave dispersion curves.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Predicting battery lifetime. cs229 final project, Fall 2018
[译]tsfresh特征提取工具可提取的特征
Deep Learning tutorials in jupyter notebooks.
Code for Nature energy manuscript
Jupyter notebooks for using & learning Keras
Keras implementation of 'Dynamic Routing Between Capsules' by Sabour, Frosst and Hinton. (NIPS 2017)