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MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）
Train your AI self, amplify you, bridge the world
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，mlops算法链路全流程，算力租赁平台，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务VGPU虚拟化，边缘计算，标注平台自动化标注，deepseek等大模型sft微调/奖励模型/强化学习训练，vllm/ollama/mindie大模型多机推理，私有知识库，AI模型市场…
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
A treasure chest for visual classification and recognition powered by PaddlePaddle
OCR离线图片文字识别命令行windows程序，以JSON字符串形式输出结果，方便别的程序调用。提供各种语言API。由 PaddleOCR C++ 编译。
PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.
Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video ta…
OCR software, free and offline. 开源、免费的离线OCR软件。支持截屏/批量导入图片，PDF文档识别，排除水印/页眉页脚，扫描/生成二维码。内置多国语言库。
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
A simple OCR preprocessing tool using Python with a GUI.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python 3 and PyQT5, support…
Pytorch implementation of convolutional neural network visualization techniques
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
A collection of various deep learning architectures, models, and tips
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.