python 语音识别源码

说明：  基于时间窗的电动车调度，利用了遗传算法，启发式算法进行编程(Electric vehicle scheduling based on time window is programmed by using genetic algorithm and heuristic algorithm.)

abaqus软件有限元cohesive单元模拟裂纹扩展 断裂与疲劳(Simulation of crack propagation in cohesive cell)

说明：  Programming Computer Vision with Python by Jan Erik Solem

说明：  超级超级轨迹袁程序 超级轨迹袁程序 Super Track Yuan Program(Super Track Yuan Program)

Introduction This server uses the Telnet protocol which is not used as much nowadays because HTTP has taken its place. However, it is very simple and light. It does not need a heavy server or complicated methods to write dynamic functions. Almost everything to be sent is based on text. I run a Windows server and I made this program for maintaining the Windows server. This program can be used as a simple monitoring program. You can check whether your server is OK or not via Telnet. The things you need to do are simply add a script or modify some Python code. Background This server is written using the Telnet protocol, ANSI code, and ZModem. These are not common these days. So if you were familiar with this protocol, you could modify it for your purposes. If you know the Python language, you can understand the code easily.

利用遗传算法来解决经典的旅行商TSP问题，python 编码(Using genetic algorithm to solve the classic TSP traveling salesman problem, the programming language is Python)

我们提出了一个简单、灵活和通用的对象实例分割框架。我们的方法能有效检测图像中的对象，同时为每个实例生成高质量的 segmentation mask。这种被称为 Mask R-CNN 的方法通过添加用于预测 object mask 的分支来扩展 Faster R-CNN，该分支与用于边界框识别的现有分支并行。Mask R-CNN 训练简单，只需在以 5fps 运行的 Faster R-CNN 之上增加一个较小的 overhead。此外，Mask R-CNN 很容易推广到其他任务，例如它可以允许同一个框架中进行姿态估计。我们在 COCO 系列挑战的三个轨道任务中均取得了最佳成果，包括实例分割、边界对象检测和人关键点检测。没有任何 tricks，Mask R-CNN 的表现优于所有现有的单一模型取得的成绩，包括 COCO 2016 挑战赛的冠军。(Mask R-CNN code by HeKaiming)

用Python完成了github的oauth2功能(The OAuth 2 function of GitHub is completed with Python)

python源代码，界面美观，能实现音乐播放，变频，混响，画波形图等功能，原数字信号处理作业。(python source code, beautiful interface, enables music playback, conversion, reverb, painting waveform functions, the original digital signal processing.)

说明：  一个可运行的pycharm平台开发的系统。有简单的前端界面。(A system developed by pycharm platform. There is a simple front-end interface.)