资源列表
IEEE33节点matlab潮流程序
- 电力系统分析中的IEEE33节点潮流计算matlab程序(IEEE33 node matlab power flow program)
EXAM1
- 自己写的Python程序，相场理论 计算非保守场(a python program for the calculation of phase field ,a toy model)
ACM模板
- ACM竞赛经典算法的模板和实现，包括复旦大学和吉林大学的(ACM competition template and implementation of the classic algorithm, including Fudan University and Jilin University)
TensorFlow Machine Learning Cookbook
- 机器学习入门平台，谷歌公司的机器学习平台说明，对机器学习初学者比较实用(Machine learning platform, Google Corporation's machine learning platform descr iption, for machine learning beginners more practical.)
mrt
- 采用格子Boltzmann方法的mrt模拟顶盖驱动流(MRT simulation of lid driven flow using lattice Boltzmann method)
poetry_generator_Keras-master
- 使用LSTM算法写的唐诗生成，编程语言使用的Python。(Using LSTM algorithm to generate Tang poetry, the Python used in programming languages.)
adult
- 本人课设实现的基于决策树和朴素贝叶斯对Adult数据集进行分类！(Adult dataset is classified based on decision tree and naive bayes!)
W124-PCA和LDA人脸识别
- 实现人脸的识别，使用LDA的模型，基于matlab的语言(Realize face recognition)
堆排序
- 利用visualstdio基于c++的一个堆排序的算法(A heap sort algorithm based on c++ in visualstdio)
matlab-CNN代码理解
- 详细分析解释了CNN的代码实现过程，仅供参考(Analysis of MATLAB code in deep learning For reference only)
Machine_Learning
- 包含了各种机器学习和深度学习的算法，大家互相学习(It contains all kinds of algorithms for machine learning and deep learning, and we learn from each other.)
10_7_gridworld_sarsa
- 通过最基础的实例来了解sarsa算法原理及应用(Understand the principle and application of sarsa algorithm through the most basic example.)