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LSTM-单变量多步
说明： 用jupyter notebook 实现深度学习LSTM单变量多步的时间序列预测(Using jupyter notebook to realize multi-step time series prediction of deep learning LSTM)
- 2021-02-01 10:00:00下载
- 积分：1
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机器学习常用方法
机器学习常用方法的python实现，包括PCA，随机森林，决策树，层次聚类，kmeans，KNN，线性感知机等(Python implementation of common machine learning methods, including PCA, random forest, decision tree, hierarchical clustering, kmeans, KNN, linear perceptron, etc.)
- 2018-01-24 11:35:29下载
- 积分：1
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图像匹配
【实例简介】图像匹配
- 2021-12-24 00:31:01下载
- 积分：1
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w5_bayesianRegression
machine learning 方面有关于Bayesian Regression的资料，语言是python(There are aspects of machine learning Bayesian Regression information about language is python)
- 2013-12-07 23:19:27下载
- 积分：1
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R4i-SDHC_3DS_RTS-Flashrom
说明： 3DS kit extractor, used to extract .dbk and .dbf files
- 2019-05-18 05:25:05下载
- 积分：1
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SLAM
说明： 以slam为核心的python实现代码，包含可视化组件(some slam code with the python script)
- 2021-01-03 13:38:57下载
- 积分：1
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基于GAN的人体动作识别
说明： 针对数据集较少导致人体动作识别率较低的情况，基于生成对抗网络搭建了一个人体动作识别网络，有效解决了以上问题(In view of the low recognition rate of human motion caused by the lack of data set, a human motion recognition network is built based on the generated countermeasure network, which effectively solves the above problems)
- 2020-05-18 20:42:05下载
- 积分：1
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elwave-master
弹性波数值模拟，可以修改模型，可以做波场模拟，做面波的地震记录((Numerical simulation of seismic surface waves, you can modify the model, you can do the wave field snapshots do surface wave seismograms))
- 2017-09-29 15:14:45下载
- 积分：1
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nsga2.tar
这段代码描述多目标遗传算法NSGAII算法的实现，抓要包含三部分：Non-dominated sort， Crowding distance assignment， the selection process来找到pareto-front(The basic operations being performed and the worst case complexities associated with are as follows:
Multi-objective evolutionary algorithms which uses non-dominated sorting to find pareto front. It is consist of tree parts:
• Non-dominated sort returns a list of the non-dominated fronts F. (O(mN 2 ))
• Crowding distance assignment is O(mNlogN)
• The crowed comparison operator (Sort on ≥ n) guides the selection process at the various stages of the algorithm towards a uniformly spread out Pareto-optimal front. (O(2Nlog(2N))))
- 2016-09-28 16:50:08下载
- 积分：1
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机器学习之AdaBoost原理与代码实现
Adaboost体现的是“三个臭皮匠，胜过一个诸葛亮”，它是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，
然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）(Adaboost embodies "three smelly cobblers are better than one Zhuge Liang". It is an iterative algorithm. Its core idea is to train different classifiers (weak classifiers) for the same training set. Then these weak classifiers are combined to form a stronger final classifier (strong classifier).)
- 2020-06-17 02:20:02下载
- 积分：1
