搜索资源列表
Barenes-Hut
- 一个用python编写的N体模拟问题，采用Barnes-Hut算法，带实时模拟和显示计算，代码写得非常漂亮
netconv-0.12.tar
- 用python编写的各种复杂网络格式转换的工具-err
SVMWrap
- 开源的svm工具，安装、使用都很简单，推荐使用，很方便的，用了就知道。-Svm open source tools, installation, use very simple, recommended, it is convenient to use the know.
Python
- 用Python做科学计算，包括Python的科学计算和图像处理方面的知识。-Use Python for scientific computing, including knowledge of Python scientific computing and image processing.
SVD_freq
- 用Python编写的奇异值分解程序，很不错的资料-Written in Python singular value decomposition process, very good information
yuyinchuli
- 用Python编写的语音信号处理的基本程序-The basic program written in Python speech signal processing
quicksort
- 用python写的快速排序代码，可以实现输入一组数组的快排-Write a quick sort using python code, you can enter a group to achieve an array of fast row
knn(python)
- k邻近值算法，用python实现的，带有测试数据，可以完整实现，亲测有效-k adjacent values algorithm, implemented in python, with test data, can achieve complete, effective pro-test
PCA-Python
- 用Python语言实现PCA(Principle Component Analysis)。-PCA with python.
MOG-python
- 用Python语言实现MOG(Mixture Of Gauss, 高斯混合模型)-implementation of MOG(Mixture Of Gauss) with python.
python-mat
- 用python读取.mat文件，并将这个文件的内容读出来，用rabbitmq发送到前端。(Read the.Mat file with Python, and read out the contents of this file, and send it to the front end with rabbitmq.)
sce-ua
- vic模型参数率定代码，用Python编写(VIC Model Parameter rate code, written in Python)
python科学计算codes
- python科学计算的随书源代码，包括测试用例(the source code of the book python caculation, also includes data needed in the program)
LSTM_learn-master
- 采用LSTM算法用python语言实现的信号时间序列预测，可预测信号的占用度(The LSTM algorithm is used to predict the signal time series in python language)
python
- python开发的一些小程序，包括从头到尾打印链表、合并链表、用xx代替字符串中的某个字母等(some things about list and strings)
jMetalPy-master-python
- 用Python语言写的多目标进化算法库（2017年最新版本），包含常见的多目标进化算法以及当前最新文献中的最新算法，能够实现不同算法之间的性能比较（包含常见的GD, IGD, HV等评价指标自动生成）。可以供进化计算、多目标优化、单目标优化算法的学习参考。Python语言版本简单易懂，实用性强。(Library of multi-objective evolutionary algorithm written in Python language (the latest version in 2
用Python做科学计算
- 用python做科学计算 用python做科学计算(python Scientific calculation)
ex_read_nc1
- 调用matplotlib绘制4维地图的案例，以颜色作为4d绘制要素 用python读取netcdf4文件(Call the Matplotlib to draw a case of 4 dimensional maps with color as a 4D drawing element ,Reading netcdf4 files with Python)
kMeans
- 用python实现k-means算法。随机生成二位可视化数据集 然后进行可视化聚类(The k-means algorithm is implemented with Python. Randomly generate two bit visual data set and visualize clustering.)
KS_扰动_后向差分数值解
- 用python求解偏微分方程KS方程，用于混沌系统预测(solve PDE by python and use the data to predict chaotic)