▍1. flappybird-qlearning-bot
基于深度强化学习的Flappy Bird机器人(Flappy Bird Bot using Reinforcement Learning )
更多选项
▍2. rnn-from-scratch-master
RNN神经网络的应用和概念，RNN源代码和使用方法(You can find that the parameters `(W, U, V)` are shared in different time steps. And the output in each time step can be**softmax**. So you can use**cross entropy** loss as an error function and use some optimizing method (e.g. gradient descent) to calculate the optimized parameters `(W, U, V)`. Let recap the equations of our RNN: )
▍3. DeepLearningTutorials-master-theano
theano官网deep learning教程的python源码，包括所用的数据集。(theano official website of deep learning tutorial python source code, including the use of data sets.)
▍5. SVM_REGRESSION
这段时间自己在学机器学习相关的内容，其中用到了SVM回归。我采用的libSVM.网上论坛和博客已经有其相当详细的介绍，但是操作步骤比较多，且要下载的文件也比较多。之后我把应该要具有的svm文件整理在一个文件夹中，并把相关教程，和自己的操作经验一并打包在此分享。有些文件是自己编写的，用来转换libsvm数据格式，其他的都在相应的文件夹下可以找到，我自己的实验数据和图也在其中。记住，gridregression.py使用时要内部改路径。我的是64位系统 ( This time I learning machine learning related content, which USES the SVM regression. I use libSVM. Online BBS and blogs have the quite detailed introduction, but more of the process, and also more to download the file. After I put the should have the SVM papers in a folder, and the related tutorials, and share his experiences along with all the packaging in this. Some files are writing your own, which is used to convert libsvm data format, the rest can be found in the corresponding folder, my own experimental data and figure among them. Remember, gridregression. Py when using internal to change path. I was a 64- bit system )
▍6. python-quantitive
python 分类算法量化投资 SVM 神经网络算法 沪深300指数(python classification algorithm quantitative investment)
▍8. TheanoConv3d2d-master
3D 卷积神经网络，在很多方面都有应用，例如行为识别、表情识别等(3D CNN)
▍9. Code
building Machine Learing Systems with Python 源代码 。 中文名是：机器学习系统设计； 作者：Willi Richert Luis Pedro Coelho 刘峰。(building Machine Learing Systems with Python source code)
▍10. OS-ELM(Python)
ELM是一种简单易用、有效的单隐层前馈神经网络，该代码是用python实现的极限学习机，亲测有用(extreme learning machine realized by python，it works well)
▍11. sprite_sheets
just s sprit sheets game sample for beginners
▍12. cluster
机器学习中经典的聚类算法例子，采用python编写，简单易理解(Classical clustering algorithms in machine learning, for example, USES python, simple easy to understand)
▍13. GA
说明： python遗传算法求解背包问题,后者由1978年由Merkel和Hellman提出。其运行依赖DEAP (python genetic algorithm knapsack problem, which in 1978 proposed by Merkel and Hellman. Its operation depend DEAP)
▍14. balance-demostration
nao机器人的平衡程序，这是nao机器人比赛用的程序，可以人机互动和演示。(Nao robot balancing process, which is the NAO robot contest with the program, you can interact and demonstration.)
▍15. 3-musketeers-story
nao机器人的讲故事程序，可以进行人机互动，非常合适演示用。(Nao robot storytelling program, you can interact with the human machine, very suitable for demonstration.)
▍17. fpgrowth
fpgrowth算法的python实现以及相关实验数据(machine learning fpgrowth)
▍18. kMeans
机器学习算法，无监督学习，利用k均值聚类算法对未标注数据分组(Machine learning algorithms, unsupervised learning, the use of k-means clustering algorithm for unlabeled data packets)
▍19. python
python编程实现数据挖掘领域的经典算法：Apriori算法，实现对于关联规则的挖掘。文件中含有程序主体及测试数据集。(Classical data mining algorithms: Apriori algorithm for mining associated rules. Algorithm programmed in JAVA and test dataset are included.)
▍20. R-language-show
美国印第安纳大学张辉教授讲解大数据挖掘与R语言基础资料(materials of Professor Zhang Hui from Indiana University explaining the basis of the R language and large data mining )
本站资源：696518 个
本站会员：104353 个
总计下载：494898 次
今日上传：0 个
- 优秀论文及配套源码 SVM Short-term-Load-Forecasting
- 综合能源优化含储能
- 用遗传算法改进粒子群GA-PSO算法
- 通过粒子群能够很好的解决优化问题 pso
- 天牛群算法 BSO
- 混沌粒子群优化算法
- 2019年中国研究生数学建模竞赛E题
- 智能算法的Matlab仿真程序及教程
- 《MATLAB R2016a神经网络设计与应用28个案例分析》随书代码
- BAS BP论文及代码
- denoising
- Airy 基模高斯光束
- EMS Microgrid
- 2012年全国大学生数学建模竞赛题目--葡萄酒的评价Wines-Evaluation
- GA-bp
- 本人调试的大作业 源程序模型+论文 intelligent_control_modle
- LSTM的例子、单向LSTM、双向LSTM、多层LSTM
- 遗传算法优化BP网络案例
- 通过yalmip平台调用cplex求解器 microgrid Cplex
- 基于lstm算法在MATLAB对短期风速进行预测 LSTM-regression-master
