机巧围棋(CleverGo)基于Python+Pygame+PaddlePaddle打造一款点击按钮就能可视化地训练围棋人工智能的程序。

使用ONNXRuntime部署百度飞桨开源PP-Vehicle车辆分析，包含车辆检测，识别车型和车辆颜色，车牌检测，车牌识别5个功能，不依赖PaddlePaddle就能运行，包含C++和Python两个版本的程序

Paddle-Adversarial-Toolbox (PAT) is a Python library for Deep Learning Security based on PaddlePaddle.

百度飞桨领航团零基础Python入门

🎵根据歌词生成音乐的项目，零成本将机器学习模型部署上线（前端(Vue3.js+Vite)+后端(github actions+python+paddlepaddle)）

兼容tensorflow1.0/2.0, pytorch，paddlepaddle接口，在浏览器端简化编码训练一系列有关机器学习，深度学习等场景应用的神经网络模型，底层python和cython编译交叉使用，非工业应用框架，仅实验研发缩短模型构建; 亮点: 1. 兼容多平台多框架内核; 2.在线模块化构建神经网络模型

Face Expression Recognition with Baidu's PaddlePaddle through Python 3.

A code generation JupyterLab extension based on CodeGen model and PaddlePaddle, which provides Python code fragment generation, Python code generation based on comments, and other functions.

personal course summary for Baidu AI's PaddlePaddle zero-based Python crash camp in Feb. 2021.

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This is the article about python lesson note for Baidu flying paddle platform

Deep Forest with Python+PaddlePaddle

A python script to detect Pokémon cards and identify them with paddlepaddle AI OCR

Converting Image to HTML procedure: 1): converting image to text using PaddleOCR (Optical Character Recognition) 2): creating HTML page and writing text using pixel coordinates Requirments python 3.6 to 3.8 pip install paddlepaddle==2.2.2 pip install opencv-python pip install shapley pip install paddleocr

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PaddlePaddle炼丹炉

study-paddlepaddle-python

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Serve PaddlePaddle model from Python.

инструмент для автоматической миграции Python-кода с PyTorch на PaddlePaddle

Lightweight python API server for OCR detection using mobile version of Paddlepaddle's OCRv5 model.

библиотека на базе PaddlePaddle для обучения и использования LLM/VLM-моделей в стиле Transformers API. Проект включает Python-пакет, CLI-инструмент, примеры конфигураций и сценарии для обучения, дообучения и экспериментов

Executed 3D medical image segmentation tasks with excellent generalization using PaddlePaddle. Developed a comprehensive 3D medical data analysis platform using Python, Django, and MySQL for data import, segmentation, visualization, and analysis.

Made for Hacknation 2025. Platform for digitizing lost items records. Powered by a dedicated OCR API (PaddlePaddle/PaddleOCR) for automated web scraping and document analysis. Tech stack: Python (Django), JavaScript, MySQL, Docker, and Selenium.