资源列表
STLreader new
- matlab实现读取STL文件功能。STL需要是二进制的。(MATLAB realizes the function of reading STL files. STL needs binary.)
H-ELM
- 可用作数据分类和拟合，深度极限学习机拥有深度学习的优势和自身计算速度快的优势(It can be used to classify and fit data. The deep extrme learning machine has the advantages of depth learning and fast computing speed.)
read_grib
- 处理GLDAS,读取netcdf文件，计算地表水数据，也可计算陆地水储量(Handling GLDAS, reading netcdf files, calculating surface water data, and calculating land water reserves)
LSTM_matlab
- 结合实例，使用matlab语言，完成递归神经网络程序的编写（LSTM）(Combined with an example and matlab language, completed the compilation of recursive neural network program (LSTM))
RNN_matlab
- 用Matlab实现了最基本的RNN神经网络(Matlab to achieve the most basic RNN neural network)
GLDAS
- GLDAS数据的提取以及相应的水储量的计算。(Extraction of GLDAS data and calculation of water reserves.)
机器学习实战源码
- 《机器学习实战》书的所有源码及数据，python实现！！！
Lecture 12
- DBSCAN 聚类 skit-learn(DBSCAN cluster skit-learn)
nsct_toolbox(matlab)
- This toolbox contains Matlab files that implement the nonsubsample contourlet transform and its utility functions. Some Matlab files are the same as those in Contourlet Toolbox.
Python深度学习.pdf+代码
- 本书由Keras之父、现任Google人工智能研究员的弗朗索瓦?肖莱（Franc?ois Chollet）执笔，详尽介绍了用Python和Keras进行深度学习的探索实践，包括计算机视觉、自然语言处理、产生式模型等应用。书中包含30多个代码示例，步骤讲解详细透彻。由于本书立足于人工智能的可达性和大众化，读者无须具备机器学习相关背景知识即可展开阅读。在学习完本书后，读者将具备搭建自己的深度学习环境、建立图像识别模型、生成图像和文字等能力。(This book is written by Franc
tdoa
- 声源牛顿迭代，基于tdoa延时差的声源定位算法，水平双直线(newton automatic scoring windvelocity matlab langguage)
MKFCM
- Multiple Kernel Fuzzy Clustering