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xueweihan a1c5cbd1b7 更新：《HelloGitHub》第112期 2025-07-31 01:29:16 +08:00
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@ -198,33 +198,29 @@ for future in as_completed(futures):
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/1012686024.png' style="max-width:80%; max-height=80%;"></img></p>
### Rust 项目
26、[PakePlus](https://hellogithub.com/periodical/statistics/click?target=https://github.com/Sjj1024/PakePlus)：将网页秒变桌面应用的打包工具。这是一款基于 Rust 和 Tauri 构建的开源工具，能够将任意网页或前端项目（如 Vue、React 等）快速转换为轻量级的桌面应用和移动应用。它体积仅 5 MB，可通过 GitHub Actions 实现云端自动打包，无需复杂依赖，支持 macOS、Windows 和 Linux 平台。来自 [@1024小神](https://hellogithub.com/user/LXfeQOxRDEmSUGC) 的分享
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/855186891.gif' style="max-width:80%; max-height=80%;"></img></p>
27、[rustfs](https://hellogithub.com/periodical/statistics/click?target=https://github.com/rustfs/rustfs)：基于 Rust 的高性能分布式存储系统。该项是用 Rust 构建的高性能分布式对象存储系统，致力于成为 MinIO 的开源替代品。它安装简单、兼容 S3 协议，采用更友好的开源协议，并内置界面清爽的 Web 管理后台。同时，支持国产保密设备和系统，适用于海量数据存储、大数据、互联网、工业和保密存储等场景。来自 [@SR.李](https://hellogithub.com/user/vQ0IpLkHo3T9lO1) 的分享
26、[rustfs](https://hellogithub.com/periodical/statistics/click?target=https://github.com/rustfs/rustfs)：基于 Rust 的高性能分布式存储系统。该项是用 Rust 构建的高性能分布式对象存储系统，致力于成为 MinIO 的开源替代品。它安装简单、兼容 S3 协议，采用更友好的开源协议，并内置界面清爽的 Web 管理后台。同时，支持国产保密设备和系统，适用于海量数据存储、大数据、互联网、工业和保密存储等场景。来自 [@SR.李](https://hellogithub.com/user/vQ0IpLkHo3T9lO1) 的分享
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/722597620.png' style="max-width:80%; max-height=80%;"></img></p>
28、[tabiew](https://hellogithub.com/periodical/statistics/click?target=https://github.com/shshemi/tabiew)：命令行数据文件可视化浏览工具。这是一款用于浏览和查询表格数据文件（如 CSV、Parquet、Arrow、Excel 等）的命令行工具。它提供交互式界面体验、支持 SQL 查询、多表操作、模糊搜索和 Vim 风格快捷键等功能。来自 [@HBSpy](https://hellogithub.com/user/rIXCy0ZT2L49Ysj) 的分享
27、[tabiew](https://hellogithub.com/periodical/statistics/click?target=https://github.com/shshemi/tabiew)：命令行数据文件可视化浏览工具。这是一款用于浏览和查询表格数据文件（如 CSV、Parquet、Arrow、Excel 等）的命令行工具。它提供交互式界面体验、支持 SQL 查询、多表操作、模糊搜索和 Vim 风格快捷键等功能。来自 [@HBSpy](https://hellogithub.com/user/rIXCy0ZT2L49Ysj) 的分享
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/792805133.gif' style="max-width:80%; max-height=80%;"></img></p>
### Swift 项目
29、[KeyboardCowboy](https://hellogithub.com/periodical/statistics/click?target=https://github.com/zenangst/KeyboardCowboy)：重塑你的 macOS 快捷键。这是一款能够重塑 macOS 快捷键体验的键盘工作流工具，可为任意应用创建强大且具备上下文感知能力的快捷键，无需手动触发。它不仅能模拟点击没有原生快捷键的按钮、选择菜单项，还能将多步操作串联为一键执行的高效流程，提升工作流效率。
28、[KeyboardCowboy](https://hellogithub.com/periodical/statistics/click?target=https://github.com/zenangst/KeyboardCowboy)：重塑你的 macOS 快捷键。这是一款能够重塑 macOS 快捷键体验的键盘工作流工具，可为任意应用创建强大且具备上下文感知能力的快捷键，无需手动触发。它不仅能模拟点击没有原生快捷键的按钮、选择菜单项，还能将多步操作串联为一键执行的高效流程，提升工作流效率。
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/292346804.png' style="max-width:80%; max-height=80%;"></img></p>
30、[TrackWeight](https://hellogithub.com/periodical/statistics/click?target=https://github.com/KrishKrosh/TrackWeight)：MacBook 触控板秒变电子秤。这是一款有趣的 macOS 应用，可以将 MacBook 的触控板变身为数字电子秤。它利用触控板内置的 Force Touch 压力传感器，只需将物体放在触控板上，应用即可实时显示其重量。
29、[TrackWeight](https://hellogithub.com/periodical/statistics/click?target=https://github.com/KrishKrosh/TrackWeight)：MacBook 触控板秒变电子秤。这是一款有趣的 macOS 应用，可以将 MacBook 的触控板变身为数字电子秤。它利用触控板内置的 Force Touch 压力传感器，只需将物体放在触控板上，应用即可实时显示其重量。
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/1023406764.gif' style="max-width:80%; max-height=80%;"></img></p>
### 人工智能
31、[gitingest](https://hellogithub.com/periodical/statistics/click?target=https://github.com/coderamp-labs/gitingest)：一键将代码库转换为 AI 友好格式的工具。该项目可将任意 GitHub 仓库快速转换为适合大语言模型处理的纯文本摘要。使用起来十分方便，只需将 GitHub 项目地址中的 hub 替换为 ingest 即可得到文本摘要。
30、[gitingest](https://hellogithub.com/periodical/statistics/click?target=https://github.com/coderamp-labs/gitingest)：一键将代码库转换为 AI 友好格式的工具。该项目可将任意 GitHub 仓库快速转换为适合大语言模型处理的纯文本摘要。使用起来十分方便，只需将 GitHub 项目地址中的 hub 替换为 ingest 即可得到文本摘要。
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/895942941.png' style="max-width:80%; max-height=80%;"></img></p>
32、[ManimML](https://hellogithub.com/periodical/statistics/click?target=https://github.com/helblazer811/ManimML)：用 Python 动态演示神经网络。这是一个基于 Manim 的 Python 库，用于制作机器学习相关概念的动画和可视化效果。只需编写简单的 Python 代码，即可轻松生成神经网络结构、卷积操作、Dropout 过程等动画效果，帮助理解和展示复杂的机器学习原理。
31、[ManimML](https://hellogithub.com/periodical/statistics/click?target=https://github.com/helblazer811/ManimML)：用 Python 动态演示神经网络。这是一个基于 Manim 的 Python 库，用于制作机器学习相关概念的动画和可视化效果。只需编写简单的 Python 代码，即可轻松生成神经网络结构、卷积操作、Dropout 过程等动画效果，帮助理解和展示复杂的机器学习原理。
```python
from manim_ml.neural_network import NeuralNetwork, FeedForwardLayer
@ -238,45 +234,45 @@ self.add(nn)
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/454906591.gif' style="max-width:80%; max-height=80%;"></img></p>
33、[unsloth](https://hellogithub.com/periodical/statistics/click?target=https://github.com/unslothai/unsloth)：新手友好的 LLM 微调工具库。该项目是用于微调和优化大型语言模型（LLM）的 Python 工具库。它通过动态量化和显存优化技术，提高了模型微调速度，同时将显存占用降低 70%-80%，并支持多种硬件配置、LLM、超长上下文任务等功能。除此之外，还提供了可直接在线体验的 Jupyter Notebook 示例，降低了大模型微调的门槛。
32、[unsloth](https://hellogithub.com/periodical/statistics/click?target=https://github.com/unslothai/unsloth)：新手友好的 LLM 微调工具库。该项目是用于微调和优化大型语言模型（LLM）的 Python 工具库。它通过动态量化和显存优化技术，提高了模型微调速度，同时将显存占用降低 70%-80%，并支持多种硬件配置、LLM、超长上下文任务等功能。除此之外，还提供了可直接在线体验的 Jupyter Notebook 示例，降低了大模型微调的门槛。
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/725205304.png' style="max-width:80%; max-height=80%;"></img></p>
34、[uzu](https://hellogithub.com/periodical/statistics/click?target=https://github.com/trymirai/uzu)：MacBook 专属的高性能 AI 推理引擎。这是一个专为 Apple M 系列芯片打造的高性能、轻量级 AI 模型推理引擎。它充分利用 Apple 硬件的特性提升推理速度，并提供简单易用的 API，助你一键部署高效本地大模型服务。来自 [@DeShuiYu](https://hellogithub.com/user/ZWJkOqsvYbPgD8p) 的分享
33、[uzu](https://hellogithub.com/periodical/statistics/click?target=https://github.com/trymirai/uzu)：MacBook 专属的高性能 AI 推理引擎。这是一个专为 Apple M 系列芯片打造的高性能、轻量级 AI 模型推理引擎。它充分利用 Apple 硬件的特性提升推理速度，并提供简单易用的 API，助你一键部署高效本地大模型服务。来自 [@DeShuiYu](https://hellogithub.com/user/ZWJkOqsvYbPgD8p) 的分享
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/1007360921.png' style="max-width:80%; max-height=80%;"></img></p>
35、[VideoCaptioner](https://hellogithub.com/periodical/statistics/click?target=https://github.com/WEIFENG2333/VideoCaptioner)：开箱即用的智能字幕助手。这是一款基于大语言模型的智能视频字幕处理工具。它界面简洁、操作便捷，支持语音识别、智能校对和自动生成多语言字幕等功能。来自 [@孤胆枪手](https://hellogithub.com/user/i1wAIyo6P3NXkxm) 的分享
34、[VideoCaptioner](https://hellogithub.com/periodical/statistics/click?target=https://github.com/WEIFENG2333/VideoCaptioner)：开箱即用的智能字幕助手。这是一款基于大语言模型的智能视频字幕处理工具。它界面简洁、操作便捷，支持语音识别、智能校对和自动生成多语言字幕等功能。来自 [@孤胆枪手](https://hellogithub.com/user/i1wAIyo6P3NXkxm) 的分享
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/881171866.jpg' style="max-width:80%; max-height=80%;"></img></p>
### 其它
36、[12-factor-agents](https://hellogithub.com/periodical/statistics/click?target=https://github.com/humanlayer/12-factor-agents)：构建生产级 LLM 应用的设计指南。这是一份为打造生产级大模型应用而编写的设计指南。作者在与多位 AI 领域优秀创始人交流后，提炼出 12 条系统化、切实可行的设计原则。
35、[12-factor-agents](https://hellogithub.com/periodical/statistics/click?target=https://github.com/humanlayer/12-factor-agents)：构建生产级 LLM 应用的设计指南。这是一份为打造生产级大模型应用而编写的设计指南。作者在与多位 AI 领域优秀创始人交流后，提炼出 12 条系统化、切实可行的设计原则。
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/957658915.png' style="max-width:80%; max-height=80%;"></img></p>
37、[60s](https://hellogithub.com/periodical/statistics/click?target=https://github.com/vikiboss/60s)：每日 60 秒资讯 API 集合。该项目集合了包括每日新闻、实时票房、汇率、热搜榜、随机段子等多种数据的 API 服务。
36、[60s](https://hellogithub.com/periodical/statistics/click?target=https://github.com/vikiboss/60s)：每日 60 秒资讯 API 集合。该项目集合了包括每日新闻、实时票房、汇率、热搜榜、随机段子等多种数据的 API 服务。
38、[bitwise-challenge-2048](https://hellogithub.com/periodical/statistics/click?target=https://github.com/izabera/bitwise-challenge-2048)：基于位运算的 2048 游戏。这是一个通过位运算实现了经典的 2048 游戏，仅一个文件（.bash）、零依赖、不到 200 行代码。与常见的二维数组模拟棋盘方式不同，该项目巧妙地利用位运算管理游戏状态和逻辑，将整个 4x4 棋盘压缩存储在一个 64 位整数中，所有移动、合并和生成均通过位操作实现。
37、[bitwise-challenge-2048](https://hellogithub.com/periodical/statistics/click?target=https://github.com/izabera/bitwise-challenge-2048)：基于位运算的 2048 游戏。这是一个通过位运算实现了经典的 2048 游戏，仅一个文件（.bash）、零依赖、不到 200 行代码。与常见的二维数组模拟棋盘方式不同，该项目巧妙地利用位运算管理游戏状态和逻辑，将整个 4x4 棋盘压缩存储在一个 64 位整数中，所有移动、合并和生成均通过位操作实现。
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/1004964759.png' style="max-width:80%; max-height=80%;"></img></p>
39、[CSS-Minecraft](https://hellogithub.com/periodical/statistics/click?target=https://github.com/BenjaminAster/CSS-Minecraft)：这个“世界”只有 HTML 和 CSS。该项仅用 CSS 和 HTML 实现了类似《我的世界》（Minecraft）的界面交互，没用一行 JavaScript 代码，支持方块的放置、移除、切换视角等基础操作。
38、[CSS-Minecraft](https://hellogithub.com/periodical/statistics/click?target=https://github.com/BenjaminAster/CSS-Minecraft)：这个“世界”只有 HTML 和 CSS。该项仅用 CSS 和 HTML 实现了类似《我的世界》（Minecraft）的界面交互，没用一行 JavaScript 代码，支持方块的放置、移除、切换视角等基础操作。
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/562157524.png' style="max-width:80%; max-height=80%;"></img></p>
40、[pomodoro](https://hellogithub.com/periodical/statistics/click?target=https://github.com/Rukenshia/pomodoro)：自制电子墨水屏番茄时钟。这是一个基于 ESP32 的实体番茄钟计时器，配备 4.26 英寸黑白 ePaper 屏幕和旋钮式操作。通过旋转旋钮可快速设定工作和休息时长，按下旋钮即可立即开始计时。
39、[pomodoro](https://hellogithub.com/periodical/statistics/click?target=https://github.com/Rukenshia/pomodoro)：自制电子墨水屏番茄时钟。这是一个基于 ESP32 的实体番茄钟计时器，配备 4.26 英寸黑白 ePaper 屏幕和旋钮式操作。通过旋转旋钮可快速设定工作和休息时长，按下旋钮即可立即开始计时。
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/956984646.png' style="max-width:80%; max-height=80%;"></img></p>
41、[scriptcat](https://hellogithub.com/periodical/statistics/click?target=https://github.com/scriptscat/scriptcat)：可执行用户脚本的浏览器插件。这是一款开源的浏览器插件，支持用户安装和运行第三方的 JavaScript 代码片段，可用于屏蔽广告、增强网站功能、自动化网页操作等场景。
40、[scriptcat](https://hellogithub.com/periodical/statistics/click?target=https://github.com/scriptscat/scriptcat)：可执行用户脚本的浏览器插件。这是一款开源的浏览器插件，支持用户安装和运行第三方的 JavaScript 代码片段，可用于屏蔽广告、增强网站功能、自动化网页操作等场景。
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/327265659.png' style="max-width:80%; max-height=80%;"></img></p>
### 开源书籍
42、[book](https://hellogithub.com/periodical/statistics/click?target=https://github.com/crypto101/book)：《Crypto 101》密码学入门。这是一本面向程序员的密码学入门书籍，从 XOR 和一次性密码本开始，循序渐进地讲解对称加密、公钥加密、哈希、MAC、签名、密钥交换、随机数等密码学“积木”，并把它们组装成 TLS、OpenPGP、OTR 等真实系统。
41、[book](https://hellogithub.com/periodical/statistics/click?target=https://github.com/crypto101/book)：《Crypto 101》密码学入门。这是一本面向程序员的密码学入门书籍，从 XOR 和一次性密码本开始，循序渐进地讲解对称加密、公钥加密、哈希、MAC、签名、密钥交换、随机数等密码学“积木”，并把它们组装成 TLS、OpenPGP、OTR 等真实系统。
43、[ThinkStats](https://hellogithub.com/periodical/statistics/click?target=https://github.com/AllenDowney/ThinkStats)：《Think Stats》统计思维。这是一本写给程序员的统计学电子书，所有代码示例和练习均以 Python 实现。全书围绕真实数据集展开，通过探索性数据分析、概率分布、假设检验、相关性与回归分析等统计方法，用统计思维解决实际问题。
42、[ThinkStats](https://hellogithub.com/periodical/statistics/click?target=https://github.com/AllenDowney/ThinkStats)：《Think Stats》统计思维。这是一本写给程序员的统计学电子书，所有代码示例和练习均以 Python 实现。全书围绕真实数据集展开，通过探索性数据分析、概率分布、假设检验、相关性与回归分析等统计方法，用统计思维解决实际问题。
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/815214314.jpg' style="max-width:80%; max-height=80%;"></img></p>

38
content/en/HelloGitHub112.md
View File

@ -191,33 +191,29 @@ for future in as_completed(futures):
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/1012686024.png' style="max-width:80%; max-height=80%;"></img></p>
### Rust
26、[PakePlus](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/Sjj1024/PakePlus)：A Web-to-Desktop App Packaging Tool.This is an open-source tool built with Rust and Tauri, capable of quickly converting any web page or front-end project (such as Vue, React, etc.) into lightweight desktop and mobile applications. It has a small size of only 5 MB, supports cloud-based automatic packaging via GitHub Actions, requires no complex dependencies, and is compatible with macOS, Windows, and Linux platforms.Shared by [@1024小神](https://hellogithub.com/en/user/LXfeQOxRDEmSUGC)
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/855186891.gif' style="max-width:80%; max-height=80%;"></img></p>
27、[rustfs](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/rustfs/rustfs)：High-performance Distributed Storage System Based on Rust.This is a high-performance distributed object storage system built with Rust, aiming to be an open-source alternative to MinIO. It is easy to install and compatible with the S3 protocol. It adopts a more friendly open-source protocol and has a built-in web management background with a clean interface. At the same time, it supports domestic secure devices and systems and is suitable for scenarios such as massive data storage, big data, the Internet, industry, and secure storage.Shared by [@SR.李](https://hellogithub.com/en/user/vQ0IpLkHo3T9lO1)
26、[rustfs](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/rustfs/rustfs)：High-performance Distributed Storage System Based on Rust.This is a high-performance distributed object storage system built with Rust, aiming to be an open-source alternative to MinIO. It is easy to install and compatible with the S3 protocol. It adopts a more friendly open-source protocol and has a built-in web management background with a clean interface. At the same time, it supports domestic secure devices and systems and is suitable for scenarios such as massive data storage, big data, the Internet, industry, and secure storage.Shared by [@SR.李](https://hellogithub.com/en/user/vQ0IpLkHo3T9lO1)
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/722597620.png' style="max-width:80%; max-height=80%;"></img></p>
28、[tabiew](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/shshemi/tabiew)：Command Line Data File Visualization Browsing Tool.This is a command-line tool for browsing and querying tabular data files such as CSV, Parquet, Arrow, Excel, etc. It provides interactive interface experience, supports SQL queries, multi-table operations, fuzzy search and Vim-style shortcut keys and other functions.Shared by [@HBSpy](https://hellogithub.com/en/user/rIXCy0ZT2L49Ysj)
27、[tabiew](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/shshemi/tabiew)：Command Line Data File Visualization Browsing Tool.This is a command-line tool for browsing and querying tabular data files such as CSV, Parquet, Arrow, Excel, etc. It provides interactive interface experience, supports SQL queries, multi-table operations, fuzzy search and Vim-style shortcut keys and other functions.Shared by [@HBSpy](https://hellogithub.com/en/user/rIXCy0ZT2L49Ysj)
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/792805133.gif' style="max-width:80%; max-height=80%;"></img></p>
### Swift
29、[KeyboardCowboy](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/zenangst/KeyboardCowboy)：Reshape Your macOS Shortcuts.This is a keyboard workflow tool that can reshape the macOS shortcut experience. It can create powerful and context-aware shortcuts for any application without manual triggering. It can not only simulate clicking buttons without native shortcuts and selecting menu items, but also string multiple steps into an efficient process that can be executed with one click, improving workflow efficiency.
28、[KeyboardCowboy](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/zenangst/KeyboardCowboy)：Reshape Your macOS Shortcuts.This is a keyboard workflow tool that can reshape the macOS shortcut experience. It can create powerful and context-aware shortcuts for any application without manual triggering. It can not only simulate clicking buttons without native shortcuts and selecting menu items, but also string multiple steps into an efficient process that can be executed with one click, improving workflow efficiency.
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/292346804.png' style="max-width:80%; max-height=80%;"></img></p>
30、[TrackWeight](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/KrishKrosh/TrackWeight)：MacBook Touchpad Transforms into an Electronic Scale.This is a fun macOS application that turns the MacBook touchpad into a digital electronic scale. It utilizes the built-in Force Touch pressure sensor of the touchpad. Simply place an object on the touchpad, and the application can display its weight in real time.
29、[TrackWeight](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/KrishKrosh/TrackWeight)：MacBook Touchpad Transforms into an Electronic Scale.This is a fun macOS application that turns the MacBook touchpad into a digital electronic scale. It utilizes the built-in Force Touch pressure sensor of the touchpad. Simply place an object on the touchpad, and the application can display its weight in real time.
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/1023406764.gif' style="max-width:80%; max-height=80%;"></img></p>
### AI
31、[gitingest](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/coderamp-labs/gitingest)：Tool for Instantly Converting Codebase to AI-friendly Format.This project can quickly convert any GitHub repository into a plain text summary suitable for large language models. It is very easy to use. Just replace 'hub' in the GitHub project address with 'ingest' to get the text summary.
30、[gitingest](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/coderamp-labs/gitingest)：Tool for Instantly Converting Codebase to AI-friendly Format.This project can quickly convert any GitHub repository into a plain text summary suitable for large language models. It is very easy to use. Just replace 'hub' in the GitHub project address with 'ingest' to get the text summary.
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/895942941.png' style="max-width:80%; max-height=80%;"></img></p>
32、[ManimML](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/helblazer811/ManimML)：Dynamically Demonstrating Neural Networks with Python.This is a Python library based on Manim, used to create animations and visualizations of machine learning-related concepts. Just write simple Python code to easily generate animation effects such as neural network structures, convolutional operations, and Dropout processes, helping to understand and present complex machine learning principles.
31、[ManimML](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/helblazer811/ManimML)：Dynamically Demonstrating Neural Networks with Python.This is a Python library based on Manim, used to create animations and visualizations of machine learning-related concepts. Just write simple Python code to easily generate animation effects such as neural network structures, convolutional operations, and Dropout processes, helping to understand and present complex machine learning principles.
```python
from manim_ml.neural_network import NeuralNetwork, FeedForwardLayer
@ -231,45 +227,45 @@ self.add(nn)
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/454906591.gif' style="max-width:80%; max-height=80%;"></img></p>
33、[unsloth](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/unslothai/unsloth)：Beginner-Friendly LLM Fine-Tuning Toolkit.This project is a Python toolkit for fine-tuning and optimizing large language models (LLMs). It enhances the speed of model fine-tuning through dynamic quantization and memory optimization techniques, while reducing GPU memory usage by 70%-80%. It supports a variety of hardware configurations, LLMs, and ultra-long context tasks. In addition, it provides Jupyter Notebook examples that can be experienced online directly, lowering the barrier to entry for fine-tuning large models.
32、[unsloth](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/unslothai/unsloth)：Beginner-Friendly LLM Fine-Tuning Toolkit.This project is a Python toolkit for fine-tuning and optimizing large language models (LLMs). It enhances the speed of model fine-tuning through dynamic quantization and memory optimization techniques, while reducing GPU memory usage by 70%-80%. It supports a variety of hardware configurations, LLMs, and ultra-long context tasks. In addition, it provides Jupyter Notebook examples that can be experienced online directly, lowering the barrier to entry for fine-tuning large models.
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/725205304.png' style="max-width:80%; max-height=80%;"></img></p>
34、[uzu](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/trymirai/uzu)：High-performance AI Inference Engine Exclusive to MacBook.This is a high-performance and lightweight AI model inference engine specifically designed for Apple M series chips. It fully utilizes the characteristics of Apple hardware to enhance inference speed and provides a simple and easy-to-use API to help you deploy efficient local large model services with one click.Shared by [@DeShuiYu](https://hellogithub.com/en/user/ZWJkOqsvYbPgD8p)
33、[uzu](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/trymirai/uzu)：High-performance AI Inference Engine Exclusive to MacBook.This is a high-performance and lightweight AI model inference engine specifically designed for Apple M series chips. It fully utilizes the characteristics of Apple hardware to enhance inference speed and provides a simple and easy-to-use API to help you deploy efficient local large model services with one click.Shared by [@DeShuiYu](https://hellogithub.com/en/user/ZWJkOqsvYbPgD8p)
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/1007360921.png' style="max-width:80%; max-height=80%;"></img></p>
35、[VideoCaptioner](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/WEIFENG2333/VideoCaptioner)：Out-of-the-box Intelligent Caption Assistant.This is an intelligent video caption processing tool based on large language models. It has a simple interface and convenient operation, supporting functions such as speech recognition, intelligent proofreading and automatic generation of multilingual subtitles.Shared by [@孤胆枪手](https://hellogithub.com/en/user/i1wAIyo6P3NXkxm)
34、[VideoCaptioner](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/WEIFENG2333/VideoCaptioner)：Out-of-the-box Intelligent Caption Assistant.This is an intelligent video caption processing tool based on large language models. It has a simple interface and convenient operation, supporting functions such as speech recognition, intelligent proofreading and automatic generation of multilingual subtitles.Shared by [@孤胆枪手](https://hellogithub.com/en/user/i1wAIyo6P3NXkxm)
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/881171866.jpg' style="max-width:80%; max-height=80%;"></img></p>
### Other
36、[12-factor-agents](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/humanlayer/12-factor-agents)：Design Guidelines for Building Production-Level LLM Applications.This is a design guide written for building production-level large model applications. After communicating with many excellent founders in the AI field, the author has提炼出 (extracted) 12 systematic and practical design principles.
35、[12-factor-agents](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/humanlayer/12-factor-agents)：Design Guidelines for Building Production-Level LLM Applications.This is a design guide written for building production-level large model applications. After communicating with many excellent founders in the AI field, the author has提炼出 (extracted) 12 systematic and practical design principles.
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/957658915.png' style="max-width:80%; max-height=80%;"></img></p>
37、[60s](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/vikiboss/60s)：Daily 60-second Information API Collection.This project gathers API services including daily news, real-time box office, exchange rates, hot search lists, random jokes and other various data.
36、[60s](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/vikiboss/60s)：Daily 60-second Information API Collection.This project gathers API services including daily news, real-time box office, exchange rates, hot search lists, random jokes and other various data.
38、[bitwise-challenge-2048](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/izabera/bitwise-challenge-2048)：2048 Game Based on Bitwise Operations.This is a classic 2048 game implemented through bitwise operations. It consists of only one file (.bash), with zero dependencies and less than 200 lines of code. Different from the common way of simulating the game board with a two-dimensional array, this project cleverly uses bitwise operations to manage the game state and logic. The entire 4x4 game board is compressed and stored in a 64-bit integer, and all movements, merges and generations are achieved through bit operations.
37、[bitwise-challenge-2048](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/izabera/bitwise-challenge-2048)：2048 Game Based on Bitwise Operations.This is a classic 2048 game implemented through bitwise operations. It consists of only one file (.bash), with zero dependencies and less than 200 lines of code. Different from the common way of simulating the game board with a two-dimensional array, this project cleverly uses bitwise operations to manage the game state and logic. The entire 4x4 game board is compressed and stored in a 64-bit integer, and all movements, merges and generations are achieved through bit operations.
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/1004964759.png' style="max-width:80%; max-height=80%;"></img></p>
39、[CSS-Minecraft](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/BenjaminAster/CSS-Minecraft)：This 'World' Only Has HTML and CSS.This project achieved an interface interaction similar to Minecraft using only CSS and HTML, without a single line of JavaScript code. It supports basic operations such as placing, removing, and switching perspectives of blocks.
38、[CSS-Minecraft](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/BenjaminAster/CSS-Minecraft)：This 'World' Only Has HTML and CSS.This project achieved an interface interaction similar to Minecraft using only CSS and HTML, without a single line of JavaScript code. It supports basic operations such as placing, removing, and switching perspectives of blocks.
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/562157524.png' style="max-width:80%; max-height=80%;"></img></p>
40、[pomodoro](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/Rukenshia/pomodoro)：Self-made Electronic Ink Display Pomodoro Clock.This is a physical pomodoro timer based on ESP32, equipped with a 4.26-inch black and white ePaper screen and a knob operation. The working and rest time can be quickly set by rotating the knob, and pressing the knob can start timing immediately.
39、[pomodoro](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/Rukenshia/pomodoro)：Self-made Electronic Ink Display Pomodoro Clock.This is a physical pomodoro timer based on ESP32, equipped with a 4.26-inch black and white ePaper screen and a knob operation. The working and rest time can be quickly set by rotating the knob, and pressing the knob can start timing immediately.
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/956984646.png' style="max-width:80%; max-height=80%;"></img></p>
41、[scriptcat](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/scriptscat/scriptcat)：Browser Plugin for Executing User Scripts.This is an open-source browser plugin that allows users to install and run third-party JavaScript code snippets. It can be used in scenarios such as blocking ads, enhancing website functions, and automating web page operations.
40、[scriptcat](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/scriptscat/scriptcat)：Browser Plugin for Executing User Scripts.This is an open-source browser plugin that allows users to install and run third-party JavaScript code snippets. It can be used in scenarios such as blocking ads, enhancing website functions, and automating web page operations.
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/327265659.png' style="max-width:80%; max-height=80%;"></img></p>
### Book
42、[book](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/crypto101/book)：Crypto 101: An Introduction to Cryptography.This is an introductory book on cryptography for programmers. It starts with XOR and one-time pads and gradually explains symmetric encryption, public-key encryption, hashes, MACs, signatures, key exchange, random numbers and other cryptography 'building blocks', and assembles them into real systems such as TLS, OpenPGP and OTR.
41、[book](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/crypto101/book)：Crypto 101: An Introduction to Cryptography.This is an introductory book on cryptography for programmers. It starts with XOR and one-time pads and gradually explains symmetric encryption, public-key encryption, hashes, MACs, signatures, key exchange, random numbers and other cryptography 'building blocks', and assembles them into real systems such as TLS, OpenPGP and OTR.
43、[ThinkStats](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/AllenDowney/ThinkStats)：Think Stats.This is an e-book on statistics for programmers. All code examples and exercises are implemented in Python. The whole book focuses on real data sets and uses statistical thinking to solve practical problems through statistical methods such as exploratory data analysis, probability distribution, hypothesis testing, correlation and regression analysis.
42、[ThinkStats](https://hellogithub.com/en/periodical/statistics/click?target=https://github.com/AllenDowney/ThinkStats)：Think Stats.This is an e-book on statistics for programmers. All code examples and exercises are implemented in Python. The whole book focuses on real data sets and uses statistical thinking to solve practical problems through statistical methods such as exploratory data analysis, probability distribution, hypothesis testing, correlation and regression analysis.
<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img4/master/hellogithub/112/815214314.jpg' style="max-width:80%; max-height=80%;"></img></p>