资源列表
Monte Carlo Simulation
- Monte Carlo Simulation for Photon Migration Inside Biological Tissue(To run Monte Carlo simulation, only the main function need to be called. But if you are not familiar with the data struction of the inputs for MC, you can run InitializeInput to c
GaijinGM11
- 改进的GM（1，1）程序，可实现时间序列的灰色等维新息预测，采用弃旧纳新的原则。(The improved GM (1, 1) program, can realize the time series prediction using grey information renewal, discarding the old and new principles.)
mises
- subroutine for abaqus to run a mises model
beam
- beam element of subroutine for abaqus programm
frictional model and umat
- frictional model to analysis in abaqus, a good subroutine to build a new frictional relationship
PCA_classifier_version1b
- 许多图像问题需要某种物体的检测，其中图像之间的物体的外观有自然的变化。 如人脸识别，病变检测，神经通道分割。 这些图像问题可以通过手动注释图像对象来解决，以训练识别正常物体外观的模型。 这可以通过基于PCA的最大似然分类器来完成。(PCA algorithm suitable for detection / recognition of 2D image "objects")
fft_mpi1
- 利用mpi实现傅里叶变换。。。。。。。。。。。(Using mpi to achieve Fourier transform)
fft
- 快速傅里叶变换实现代码。。。。。。。。。。。。。。。。。(Fast Fourier Transform implementation)
Job-2
- fger gggr seeee fffffffffffffffff
tensorflow--master
- 《TensorFlow实战》是由PPmoney大数据算法总监黄文坚和美国Uptake数据科学家唐源倾力原创的新书。本书是Google TensorFlow研发团队内部力荐的教程，两位作者均是TensorFlow开发者，其中唐源是TensorFlow研发团队的Committer。本书结合了大量代码实例，深入浅出地介绍了如何使用TensorFlow("TensorFlow real battle" is a new book by Huang Wenjian, director
IMM
- 交互式多模型算法，对多个信号进行融合，并在MATLAB中画出原始以及处理之后的曲线图(Interactive multi model algorithm, fusion of multiple signals)
Logistic Regression
- K class Logistic Regression Classification based on K binary logistic classifiers