python 游戏

说明：  INSAR相位解缠算法，使用的python语言，枝切法进行相位解缠。(INSAR phase unwrapping algorithm, using python language, branch cut method for phase unwrapping.)

说明：  abaqus建立三维椭球模型，主要用于有限元细观力学分析，建立几何模型(Abaqus establishes 3d ellipsoid model, which is mainly used for finite element mesomechanical analysis and geometric model establishment)

说明：  other

说明：  音频分类算法 思路为：频谱分析->数据增强->卷积分类 之江大赛初赛22名方案(Audio classification algorithm The idea is: spectrum analysis data enhancement convolution classification Scheme of 22 winners in the preliminary competition of Zhijiang competition)

Image processing functions: Gamma correction Contrast stretching histogram equalization

付给扶额雨霏霏未婚夫黑呵呵u二负复古风一个符号为u回复胡还得u和黑发挥规范化为父返回回复肥肥u哈怂i我穷i我i核武i返回夫人复古风腹黑武汉覅u法规和覅u保护而五分五百few运费会分为会货物i

TensorFlow 不是一个严格的“神经网络”库。只要你可以将你的计算表示为一个数据流图，你就可以使用Tensorflow。你来构建图，描写驱动计算的内部循环。我们提供了有用的工具来帮助你组装“子图”（常用于神经网络）(Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging.)

说明：  Caffee框架下实现Faster R-CNN ，backbone为vgg(Faster R-CNN is implemented under Caffee framework, and backbone is VGG)

基于Python-opencv实现动作和人脸的检测与识别，通过获取关键点来识别人体动作

说明：  使用协同过滤的推荐系统测试代码Predicting movie ratings using collaborative filtering and latent concept extractors based on matrix decomposition methods like SVD and CUR on the movielens-100k dataset The project explores techniques for predicting unknown user ratings based on a large dataset of users and movie ratings.(Recommender-SystemsWe used 6 different recommender methods to predict user ratings across the data sets. Namely we set up Collaborative Filtering along with its baseline variant and Matrix decomposition techniques like Singular Value Decomposition and CUR. Moreover, we also implemented dimensionality reduction in these matrix decomposition techniques which preserved 90% of the energy so as to increase the computational efficiency while keeping the accuracy similar for these methods.)