森林结构参数提取

xgboost算法源码，含基本示例（训练、建模、预测）。(Xgboost algorithm source code, including the basic examples (training, modeling, forecasting).)

DEF CON 22-亚历山大 · 莫内热-生成 ROP 有效载荷从数字

network coding research paper helps to understand wireless network coding implementation

用于人脸识别中的5点特征模型，将人脸数据进行提取(Five-Point Feature Model for Face Recognition and Face Data Extraction)

有道翻译接口破解。 免费使用翻译，无数量限制。(Free use of youdao translation, unlimited restrictions.)

PYTHON实现的faster RCNN算法，深度学习，计算机视觉最新算法2016

说明：  迭代算法的收敛率p是等于矩阵导数的最大特征根,Jacobi矩阵表示的是信息缺失的比例,所以p是一个可以有效的表示缺失信息的一个比例的标量,缺失信息的比例其实就是单位矩阵I 减去已经观测到的信息占完全信息的比例(The convergence rate P of the iterative algorithm is equal to the maximum characteristic root of the matrix derivative. Jacobi matrix represents the proportion of missing information, so P is a scalar that can effectively represent a proportion of missing information. The proportion of missing information is actually the proportion of the unit matrix I minus the observed information to the complete information.)

说明：  使用PyTorch实现CNN训练一个针对于CIFAR10数据集的分类识别网络，简单易懂，思路清晰，非常适合小白，代码注释非常详细(Using pytorch to realize CNN training a classification and recognition network for cifar10 data set, which is easy to understand, clear thinking, very suitable for Xiaobai, and code annotation is very detailed)

用python所编写的Rtree的实例，实现Rtree的创建，查询，删除(Examples python with written Rtree achieve Rtree create, query, delete)

python源码，利用遗传算法解决带时间窗的车辆调度问题。(Python source code, using GA to solve the vehicle scheduling problem with time windows.)