Showing 1-20 of 30 projects
2D/3D face analysis with AI
PaddlePaddle is a deep learning framework for industrial-scale ML, offering distributed training, model deployment, and Python/C++ support.
A collection of state-of-the-art deep learning scripts for various AI/ML tasks, easily trainable and deployable.
PaddleDetection is an open-source object detection toolkit based on the PaddlePaddle deep learning framework, supporting various computer vision tasks.
PaddleFormers is an easy-to-use library of pre-trained large language models based on PaddlePaddle.
Effortless data labeling with AI support from Segment Anything and other powerful models.
PaddleGAN is a high-performance GAN library for developers working with AI-powered applications like image editing, style transfer, and motion transfer.
ERNIE is an industrial-grade development toolkit based on PaddlePaddle for building AI-powered applications.
PaddlePaddle Lite is a high-performance deep learning inference engine for mobile and edge devices.
Officially maintained deep learning models by PaddlePaddle, covering computer vision, NLP, speech, and more.
PaddleX is an all-in-one development tool based on PaddlePaddle, providing AI pipelines for computer vision, NLP, and more.
Rapid and powerful OCR toolkit for developers, supporting multiple AI frameworks like ONNX, OpenVINO, and PyTorch.
A comprehensive visual classification and recognition library powered by the PaddlePaddle deep learning framework.
A deep learning visualization toolkit that helps developers understand and debug their AI models.
High-performance Inference and Deployment Toolkit for LLMs and VLMs
A high-performance face recognition library for developers built on PaddlePaddle and PyTorch.
An open-source deep learning tutorial using the PaddlePaddle framework, suitable for developers interested in AI tools.
Open-source sentiment analysis system for aspect-level sentiment classification and opinion target extraction.
A collection of resources for few-shot learning (FSL) in Python, useful for vibe coders building AI-powered applications.
A collection of novel deep learning research works using the PaddlePaddle framework for computer vision, NLP, and more.
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