资源列表
slpa-py-master
- 基于标签传播的复杂网络的重叠社区发现方法:SLPA.(The Label Propagation Algorithm for overlapping community detection in complex networks.)
Residual-Networks
- 残差神经网络的Python实现,用于机器学习的图像识别方向。(Python implement on Residual Network)
matlab贝叶斯分类(1)-简单样本集
- 利用matlab实现贝叶斯分类，采取“留一法”选取训练集和测试集，最后返回准确率为0.8571。(Bias classification is realized by MATLAB, and training set and test set are selected by "leaving one method", and the accuracy of return is 0.8571.)
启发式算法
- 利用启发式算法解决图着色问题，包括禁忌表，仇人表等一系列操作(Solving the problem of graph coloring with heuristic algorithm)
path-master
- 实现了基于遗传算法的航路规划,单无人机路径规划(path planning genetic alg)
GPU-BA
- 光束法区域网平差的GPU实现，减少对内存的占用，并行处理加快速度。(The GPU implementation of bundle adjustment of regional network reduces the occupation of memory and speeds up parallel processing.)
GMMs作业
- 机器学习作业GMMs算法实现，机器学习课程的一个小作业，没什么用。(Implementation of machine learning task GMMs algorithm)
gassmann
- 利用gassmann方程进行流体替换，已知一种流体饱和岩石的体积模量计算另一种流体饱和岩石的体积模量(gassmann equation is used for fluid substitution)
显式格式求解一维热传导问题matlab程序
- 求解四层复合材料的第一类边界条件下一维热传导问题(Solving one-dimensional heat conduction problem of four layered composite under the first boundary condition)
03SVM
- 支持向量机的python实现和用于lfw人脸识别的示例(Python implementation of support vector machines and examples of LFW face recognition)
labelImg
- 用来标注图片中的事物，当你需要图片识别的时候，可以用它标注用于训练模型(When you need image recognition, you can use it to annotate training models.)
pcaQT2
- 使用matlab计算pca中的T2统计量和Q统计量(Calculate T2 statistic and Q statistic in pca using matlab)