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machine-learning-
- 斯坦福大学机器学习课程及个人笔记，包括英文原始讲义及个人详细笔记，值得收藏！-Stanford University machine learning courses and personal notes, including the original English handouts and personal detailed notes, worth collecting!
suntans
- 溃坝模拟，斯坦福大学开发，用于计算海浪波长，精度高-Dam-break simulation, Stanford developed at the University of, used to calculate the the the wavelength of the waves, high precision
notes-of-AndrewNg
- 这是斯坦福大学著名教授Andrew Ng 的机器学习备课笔记。-The notes of Professor Andrew Ng in Stanford University about mechine learning
Ex_04
- OpenGL实现桌子上拜访一个茶壶与斯坦福Bunny兔，可旋转可变换视角。-A table with Stanford Bunny in OpenGL.
stanford-bunny
- OpenGL实现一张桌子上摆放一个茶壶与斯坦福Bunny兔，可旋转可变换视角。-A table with Stanford Bunny in OpenGL.
Machine-Learning
- 斯坦福大学的Andrew Ng讲述的机器学习课程讲义-Stanford Andrew Ng tells the machine learning course notes
rply-1.1.2.tar
- 斯坦福大学开发的三个经典3D几何模型，ply格式的，对于接触图形的朋友有很大帮助读取PLY格式文件的简单代码，简单有效，可读取文件中-Stanford University developed three classic 3D geometric model, ply format for contact pattern of friends are very helpful to read PLY format simple code, simple and effective, can re
SAE
- 深度学习中稀疏编码的C语言程序,是根据斯坦福深度学习的教程MATLAB的代码改写的-Depth learning sparse coding in C language program is based on the Stanford deep learning tutorial MATLAB code rewrite
Exercise1-Sparse-Autoencoder
- 网址：http://deeplearning.stanford.edu/wiki/index.php/Exercise:Sparse_Autoencoder斯坦福深度学习的教程，这个是稀疏编码的的练习，可以直接运行-URL: http://deeplearning.stanford.edu/wiki/index.php/Exercise:Sparse_Autoencoder Stanford deep learning tutorial, this is a sparse coding exer
Exercise2-Vectorization
- http://deeplearning.stanford.edu/wiki/index.php/Exercise:Vectorization。斯坦福深度学习的教程，练习2的代码-http://deeplearning.stanford.edu/wiki/index.php/Exercise:Vectorization. Stanford deep learning tutorials, exercises 2 code
Exercise3-PCA-in-2D
- http://deeplearning.stanford.edu/wiki/index.php/Exercise:PCA_in_2D，斯坦福深度学习教程的代码-http://deeplearning.stanford.edu/wiki/index.php/Exercise:PCA_in_2D, Stanford depth tutorial code
Exercise4-PCA-and-Whitening
- http://deeplearning.stanford.edu/wiki/index.php/Exercise:PCA_and_Whitening斯坦福的深度学习的教程的练习，是关于数据预处理的-http://deeplearning.stanford.edu/wiki/index.php/Exercise:PCA_and_Whitening Stanford deep learning tutorial exercises about data preprocessing
Exercise5-Softmax-Regression
- 斯坦福深度学习教程中关于softmax regression的练习代码，源代码中需要补全的地方，全部把代码补完整，把手写体识别的数据库放到路径下，可以直接运行-Stanford deep learning tutorial exercises on softmax regression code, source code need to fill all places, all the full complement of the code, the handwriting recognitio
Exercise6-Self-Taught-Learning
- 斯坦福深度学习教程中关于Self-Taught的练习代码，源代码中需要补全的地方，全部把代码补完整，把手写体识别的数据库放到路径下，可以直接运行-Stanford deep learning tutorial exercises on Self-Taught code, source code need to fill all places, all the full complement of the code, the handwriting recognition into the pat
Exercise7-stacked-autoencoder
- 斯坦福深度学习教程中关于stacked autoencoder的练习代码，源代码中需要补全的地方，全部把代码补完整，把手写体识别的数据库放到路径下，可以直接运行-Stanford deep learning tutorial exercises on stacked autoencoder code, source code need to fill all places, all the full complement of the code, the handwriting recognit
Exercise8-linear-decoder
- 斯坦福深度学习教程中关于linear decoder 的练习代码，源代码中需要补全的地方，全部把代码补完整，把手写体识别的数据库放到路径下，可以直接运行-Stanford deep learning tutorial exercises on linear decoder code, source code need to fill all places, all the full complement of the code, the handwriting recognition into
karel-the-robot-learns-java
- 斯坦福大学java课程的课件，详细介绍了如何用java技术实现karel-robot的简单应用。-Stanford University java curriculum courseware, details how to use technology to achieve karel-robot java simple application.
NetworkSecurityProtocols
- 斯坦福大学网络安全协议分析讲义。PPT转PDF的Stanford University network security protocol analysis lectures. PPT to PDF-Stanford University network security protocol analysis lectures. PPT to PDF
SGMPrelease
- 斯坦福大学的导航观测数据处理体系，给出了一些核心程序和主体构架-a navigation measurement processing software by stanford university, the core programs and main architecture are given
stk-4.4.4.tar
- 美国斯坦福大学教授写的音频处理的算法 基本包括目前常用的功能 基于C/C++,可移植-Stanford University wrote audio processing algorithms Basically includes the most commonly used functions Based on C/C++, can be transplanted