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kriging_f77
- 克里金二维、三维插值。是斯坦福油气预测中心C.V. Deutsch写的。本网站上也有些人上传了代码，但是往往都不全，我从本网站下下来后没有一个可以正常使用；这个是我从作者原始网页上下载的程序，并将编译语句写成SHELL语句。我上传的这个程序，确保可以编译、运行、出结果。首先运行文件夹中的Compile编译然后运行exe执行。-Kerry Jiner Wei, three-dimensional interpolation. Stanford hydrocarbon prediction cent
phrasal.3.3.1.tar
- 斯坦福大学的开源统计机器翻译系统，版权归原创所有，仅提供学习使用-Stanford University' s open-source statistical machine translation system, belongs to the original at all, only to learn to use
toolbox_calib
- 这是matlab版本的摄像机标定工具箱，由斯坦福大学开发，具有很高的标定标定精度，很好用。-This is the matlab version of the camera calibration toolbox, developed by the Stanford University, with the calibration precision is very high, very good use.
happy_recon.tar
- 斯坦福欢喜佛三维重建，目的是使一定范围内的数据和详细的重建提供给公众-Source: Stanford University Computer Graphics Laboratory Scanner: Cyberware 3030 MS+ spacetime analysis
cvx-w64
- 斯坦福大学开发的凸优化包，适用于matlab环境，解决凸优化问题-Stanford University developed convex optimization package for matlab environment, solving convex optimization problem
mlclass-ex1-005
- 斯坦福机器学习公开课第一次作业代码,matlab或者octave-Stanford open class machine learning code first job
note-of-ml
- 斯坦福大学机器学习课程讲义，深入浅出、内容丰富-Stanford university machine learning course notes, simple and rich in content
BP-matlab
- matlab实现神经网络中的BP算法，基于斯坦福大学机器学习的网络公开课-matlab realize the BP neural network algorithm, Stanford Machine Learning based networks open class
mlclass-ex1
- 斯坦福大学机器学习公开课程第一讲matlab实现作业--线性回归。-Stanford Machine Learning public speaking courses matlab achieve first job- linear regression.
mlclass-ex2
- 斯坦福大学机器学习公开课程第二讲matlab实现作业--逻辑回归。-Stanford Machine Learning public speaking courses matlab achieve second job- logistic regression.
mlclass-ex3
- 斯坦福大学机器学习公开课程第三讲matlab实现作业--多逻辑回归和神经网络表示。-Stanford Machine Learning public speaking courses third matlab realize the job- and more logistic regression and neural network representation.
mlclass-ex4
- 斯坦福大学机器学习公开课程第四讲matlab实现作业--神经网络学习。-Stanford Machine Learning public speaking courses fourth matlab realize the job- neural network learning.
PCA
- 斯坦福大学深度学习，PCA主成分分析的补充完的代码-PCA principal component analysis of deep learning at Stanford, added the code
ex1
- 斯坦福机器学习课程中的linear regression部分练习-Stanford machine learning course in linear regression part of the exercise
ex2
- 斯坦福机器学习课程中的logistic regression部分练习-Stanford Machine Learning course part of the exercise in the logistic regression
ex3
- 斯坦福机器学习课程中的multi-class 部分练习-Stanford machine learning course in multi-class part of the exercise
ex4
- 斯坦福机器学习课程中的Neural network learning 部分练习-Stanford Machine Learning Course Neural network learning part of the exercise
Stanford-depth-learning-materials
- 斯坦福大学关于深度学习的资料及练习代码-Stanford depth learning materials
ant_array_min_therm_noise
- 凸优化matlab工具箱cvx使用实例,自适应波束形成,斯坦福大学凸优化大牛S.Boyd编写-matlab toolbox for convex optimization ,written by S.Boyd from Stanford University
FigTree-v1.4.0
- Cluster 斯坦福的对大量微矩阵数据组进行各种簇（Cluster）分析与其它各种处理的软件。 SAM Significance Analysis of Microarrays 的缩写，微矩阵显著性分析软件，EXCEL软件的插件，由Stanford大学编制。 -Cluster Stanford microarray data set for a large variety of cluster (Cluster) analysis software and other kinds of