MFUN 轻量影视媒体库 (梅林固件优化版)

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This macro package simplifies the arrangement input structure in the Mathematica platform sound module, reducing the amount of code keyed in by the composer and removing a lot of repetitive code structure and functional flaws in the original synthesis on special sounds.|此宏包可简化Mathematica平台声音模块中的编曲输入结构，降低作曲者键入代码量，去除原有合成中大量重复的代码结构和特殊音效上的功能缺陷。

The website for Mom Kafka, the bad woman Honkai: Star Rail character out there!

Using deep reinforcement learning to play Snake game. The used algorithm is PPO for discrete! It has the brilliant performance in the field of discrete action space just like in continuous action space. You just need half an hour to train the snake and then it can be as smart as you.|使用深度强化学习玩蛇游戏。 使用的算法是离散的 PPO！ 它在离散动作空间领域有着与连续动作空间一样的出色表现。

QPoisson is not only an image editor for implementing conventional image transformations such as mirroring, rotation, inversion, grayscale, etc., but also a carrier for implementing Poisson fusion algorithms. It seamlessly stitches segments from one image into another, larger image.|QPoisson不仅是一款支持镜像、旋转、反色、灰度等常规变换的图像编辑器，还集成了泊松融合算法，可将图像片段无缝拼接到另张图上。

It uses Navier-Stokes equation as the physical model, the numerical solution obtained by real-time calculation includes scalar and velocity fields displayed in the OpenGL control. Users have a choice of 64x64 and 128x128 resolutions and 7 color options.|使用纳维-斯托克斯方程作为物理模型，实时计算得到的数值解便是标量场及速度场的分布情况，并显示在OpenGL控件中。用户有64x64和128x128两种分辨率以及7种颜色选项可供选择。

DyberPet + KimiChat + BertVITS2 for Genshin Impact Characters

Sharer developed in VB.NET framework can turn a Windows notebook equipped with a shareable wireless network card into a WiFi transmitter; It includes a network speed monitor, which can calculate the upload and download rates in real time.|Sharer在VB.NET框架下设计的界面，是一款可将装有可共享无线网卡的Windows笔记本变身成WiFi发射器的软件；含有一个网速监控器，可实时计算上传及下载速率。

This project is a PyTorch implementation that uses deep CNN to recognize multi-digit numbers using the SVHN dataset derived from Google Street View house numbers, each picture contains a set of numbers from 0 to 9, the model is tested to have 89% accuracy.| 使用深度卷积神经网络从街景图像中识别多位数门牌号的PyTorch实现方案，使用的数据集为SVHN，来源于谷歌街景门牌号码，每张图片中包含一组0-9的阿拉伯数字，经测试精确度可达89%