搜索资源列表
GS_StableMatch
- GS固定匹配算法的python3实现,包括算法实现、随机数据生成、文件操作等模块-GS_Stable Match Algorithm implemented by Python
Ga
- GA的python实现,各个程序都被分离，结构很清晰，适合互相学习-GA,PYTHON3.3,the latest code
machine-learning
- python3实现各种机器学习算法，包括knn算法，决策树算法，SVM算法，朴素贝叶斯算法等-Python3 realize all kinds of machine learning algorithms, including KNN algorithm, the decision tree algorithm, the SVM algorithm, naive bayesian algorithm, etc
numpy-MKL-1.8.1rc1.win-amd64-py3.3
- Python中用于科学计算的numpy库，适用于x64和python3.3-Python for scientific computing numpy library for x64 and python3.3
MaxEnt_GIS
- Python3.0 最大熵模型的GIS实现。调用data.txt的数据进行测试。-GIS realization of the maximum entropy model of Python3.0. Data to test the call data.txt.
hist_match
- Histogram matching in python (both python2 and python3)
qt3
- 这是关于01背包的动态规划算法，给予python3.5,由于课程设计需要，还实现了可视化界面pyqt-This is a dynamic programming algorithm on 01 backpack, giving python3.5, since the curriculum design needs, but also to achieve a visual interface pyqt
PSO
- Demo of particle swarm optimization(PSO) in Python3 Solves Rastrigin s function
machinelearninginaction
- 一共有15个小项目，每个项目都是具体可运行的机器学习例子，包括识别图片，预测数据等。(There are 15 small projects, each of which is a concrete example of machine learning, including identifying pictures, predicting data, and so on.)
机器学习实战源代码python3
- 机器学习实战源代码（内含测试数据、以及Python3的源代码）(machine learning source code)
baifenbi
- 利用python编写的用语统计百分比占比详细情况的小程序计算百分比(This is a program in use of calc persent,and return the result to user. It is written by python3.4 and can be runned in ERIC6)
CWSS17.1.1.4
- 基于隐马尔科夫模型的中文分词系统，上交ieee专业大一作业，界面一般，主要用于学习，在此分享，注：开发环境python3.5(Based on Hidden Markov model of Chinese word segmentation system, on the IEEE professional freshman job, interface is common, mainly used for learning, in this share, note: development en
python3_SVM
- python下的SVM算法实现(也是在网上找的)，有数据集，可以直接运行，前提是python3版本的(Python under the SVM algorithm (also found on the Internet), there are data sets, you can directly run, the premise is python3 version)
gcForest-master
- python3.0环境下实现gcforest用于分类(Implementation of gcforest for classification in python3.0 environment)
Python3编程
- Python3 进行编程的入门级书籍，由浅入深，初学者适用。(Python3 is an introductory book for programming, which is easy to understand and suitable for beginners.)
gcForest-master——1.1.1
- gcforest的python3.5程序(Gcforest's python3.5 program)
py3-neural-network-master
- Python3.6实现神经网络算法，经过mnist数据集测试后表现良好，准确率约为95%-96%。 /src 为源代码 /data为mnist算集(This is a code samples for "Neural Networks and Deep Learning" using python3.)
NaiveBayes
- 机器学习入门经典算法中的朴素贝叶斯算法，python3.6，编译通过可运行。(Naive Bayes algorithm in machine learning classic algorithm)
node2vec-master-python3
- 斯坦福大学的node2vec模型，做图嵌入的，说明很详细分享一下，，原文件是Python2做的，我改的Python3的，分享一下(The node2vec model of Stanford University is embedded in the diagram, and the descr iption is shared in detail. The original file is made by Python 2, and my modified version of Python
PDE
- 借助python3计算偏微分方程组，并作出相应图形，代码简单易懂，方便修改(Calculate partial differential equations)