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Integrate Magisk root and Google Apps into WSA (Windows Subsystem for Android) with GitHub Actions
基于PostgreSQL+PostGIS的火星坐标系、百度坐标系、WGS84坐标系、CGCS2000坐标系的转换函数
提供百度坐标系(bd-09)、火星坐标系(国测局坐标系、gcj02)、WGS84坐标系直接的坐标互转，也提供了解析高德地址的方法的python版本
The official gpt4free repository | various collection of powerful language models
A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。
Low-code platform allows you to build business apps, enables you to quickly create internal tools such as dashboard, crud app, admin panel, crm, cms, etc. Supports PostgreSQL, MySQL, Supabase, Grap…
一个支持多种不同类型数据库，覆盖事前控制、事后监督、标准发布场景，帮助您建立质量规范的SQL全生命周期质量管理平台
Dinky is a real-time data development platform based on Apache Flink, enabling agile data development, deployment and operation.
Pentaho Data Integration ( ETL ) a.k.a Kettle
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
WinGet is the Windows Package Manager. This project includes a CLI (Command Line Interface), PowerShell modules, and a COM (Component Object Model) API (Application Programming Interface).
Awesome-pytorch-list 翻译工作进行中......
Windows system utilities to maximize productivity
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
龙曲良《TensorFlow深度学习》学习笔记及代码，采用TensorFlow2.0.0版本
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
infinitysea / Ai-Learn
Forked from tangyudi/Ai-Learn人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial…
Feature Engineering Made Easy, published by Packt
告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 https://ai-jupyter.com