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DE.python
- Python实现的差分进化算法源代码 使用Python实现的差分进化算法，引用到Numpy和Scipy，可以支持多核与集群并行计算。使用时只需继承DESolver并定义函数def error_func(self, indiv, *args)作为目标函数即可。-Python implementation of the differential evolution algorithm source code uses the Pytho
Python-for-PSO-algorithm
- Python实现的粒子群优化算法源代码，需要引用到Numpy，需要对自定义问题进行优化只需要更改f6函数即可，智能算法本身的参数亦可以自行设定。-Python implementation of the PSO algorithm source code, you need to refer to Numpy, Custom issues need to be optimized to only need to change the f
fast-python-src-1.0
- fast特征的Python实现,有C，python，matlab版本，这是其中之一-fast python src 1.0, The code is pure python, and requires numpy.
LinearRegression
- 利用numpy库实现线性回归 并且带有正则化之后的线性回归处理功能 还有用最小角回归(LARS)算法实现了lasso回归-Numpy library implements the use of linear regression and linear regression with regularization after processing algorithms as well as the minimum angle of reg
2dcollections3d_demo
- Python2.7 + numpy + matplotlib实现的三维图表demo 请确保本机已安装依赖环境- 3d graph demo by Python2.7+ numpy+ matplotlib please make sure dependent environment exist
accented_text
- Python2.7 + numpy + matplotlib实现的二维坐标图demo 请确保本机已安装依赖环境 -2d graph demo by Python2.7+ numpy+ matplotlib please make sure dependent environment exist
agg_buffer_to_array
- Python2.7 + numpy + matplotlib实现的多幅二维组图demo 请确保本机已安装依赖环境-2d graph group demo by Python2.7+ numpy+ matplotlib please make sure dependent environment exist
animation_demo
- Python2.7 + numpy + matplotlib实现的二维渐变色图表动画demo 请确保本机已安装依赖环境-2d colorfull graph animation demo by Python2.7+ numpy+ matplotlib please make sure dependent environment exist
AdaBoost
- 用python实现的AdaBoost分类算法，文件是一个ipython notebook，可以直接用ipython/jupyter打开使用。内附简单测试数据集。 程序运行需要numpy库的支持。-An AdaBoost classifier implemented with Python.
numpy_softmax.py.tar
- 用numpy数学库实现的softmax, 效率比较高.-softmax using numpy library, high efficiency.
numpy-1.11.0
- numpy是科学计算的python实现,速度快，种类全-numpy python is the realization of scientific computing
FaceRecognition_CNN(olivettifaces)
- 将CNN应用于人脸识别的流程，程序基于Python+numpy+theano+PIL开发，采用类似LeNet5的CNN模型，应用于olivettifaces人脸数据库，实现人脸识别的功能-CNN is applied to the process of face recognition. The program is based on Python+ numpy+ theano+ PIL development, and uses CN
neural-networks-and-deep-learning-master
- 用不同的方法实现了神经网络（没有用第三方库，就是用numpy等实现的，对于初学者来说是不错的深入了解神经网络的素材）(Using different methods to achieve the neural network (not using third square libraries, that is, using numpy and so on, for beginners is a good understanding of
plotCurve2
- 在PYTHON中实现基本的绘图功能以及添加文字说明 其中用到numpy库(Drawing function)
sndiap-4.0.0-4.0-Win-x64-py2.7
- python实现矩阵运算、画图、数据预处理等(numpu package this is a good way)
dw_pyserial_work
- 利用python开发一款跨平台的串口通讯程序，基于串口线程的异步通讯。实现自动查找可用串口，数据帧的异步接收，数据分析和图形显示，可作为硬件调试用的上位机软件。(Using Python to develop a cross platform serial communication program, asynchronous communication based on serial thread. Automatic lookup
Char-RNN-PyTorch-master
- # Char-RNN-PyTorch 使用字符级别的RNN进行文本生成，使用PyTorch框架。[Gluon实现] ## Requirements - PyTorch 0.2 - numpy ## Basic Usage 如果希望训练网络，使用如下的代码 ```bash python main.py \ --state train \ --txt './data/poetry.txt' \ # 训练用的txt
MST.py
- 网络最小生成树算法，利用numpy实现，MST 矩阵模型(minimum spanning tree)
Conv_neural_net_NumPy
- 用numpy实现卷积神经网络的卷积、池化、ReLU操作。(numpy,Relu,pooling,conv)
BP神经网络python简单实现
- 去掉神经元类，把功能合并入NetLayer类中，使用矩阵计算加快速度 调整代码实现批量训练方法。 优化程序中numpy库运算顺序，避免产生中间变量(Remove neuron classes, merge functions into NetLayer classes, and use matrix to calculate speed.)