acm雨神的dp进阶之路，包括各种dp类型的总结和学习方法

大规模MIMO雨衰信道模型，对于学习MIMO以及分析信道雨衰有所帮助

信号与系统上同步辅导及习题全解 [孙雨雷 主编] 强烈推荐！

字库生成软件TS4（易木雨）注册版，网上都是没注册的版本，生成的字库都是带斜杠的，本版本是注册版本，分享给大家一起使用。

用MapReduce实现数据集连接（Join）操作 熟悉MapReduce的工作原理及框架搭建； 掌握使用MapReduce实现多个数据集连接的基本方法； 培养基本的MapReduce项目实现能力。

池塘夜降彩色雨VC++6.0的实现（前提库文件中包含easyx.h文件若没有可在网上下载）

Java写的字符/字母雨，感觉还可以，运行是全屏的，按esc键退出，代码有问题欢迎评论，谢谢！博客描述：https://blog.csdn.net/m0_37750720/article/details/82556459

大数据技术基础（林子雨） 大数据技术基础（林子雨） 大数据技术基础（林子雨） 大数据技术基础（林子雨）

去雨算法的PYTHON实现， Rain streaks can severely degrade the visibility, which causes many current computer vision algorithms fail to work. So it is necessary to remove the rain from images. We propose a novel deep network architecture based on deep convolutional and recurrent neural networks for single image deraining. As contextual information is very important for rain removal, we first adopt the dilated convolutional neural network to acquire large receptive field. To better fit the rain removal task, we also modify the network. In heavy rain, rain streaks have various directions and shapes, which can be regarded as the accumulation of multiple rain streak layers. We assign different alpha-values to various rain streak layers according to the intensity and transparency by incorporating the squeeze-and-excitation block. Since rain streak layers overlap with each other, it is not easy to remove the rain in one stage. So we further decompose the rain removal into multiple stages. Recurrent neural network is incorporated to preserve the useful information in previous stages and benefit the rain removal in later stages. We conduct extensive experiments on both synthetic and real-world datasets. Our proposed method outperforms the state-of-the-art approaches under all evaluation metrics.

林子雨所写的大数据课程实验书的答案，十分详细，代码以及过程十分清晰