BR-IDL/PaddleViT

Health v2 · maintenance only

Adoption not part of the score

1238 stars · 328 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

PaddleViT is a collection of state-of-the-art Vision Transformer and MLP model implementations for PaddlePaddle 2.1+, covering image classification, object detection, semantic segmentation, GANs, and self-supervised learning. It includes pretrained weights, training/validation scripts, data augmentations, optimizers, and utilities to support research and deployment.

Use cases

• train vision transformer models for image classification
• fine-tune pretrained ViT models on my own dataset
• run object detection with DETR in PaddlePaddle
• do semantic segmentation with transformer-based models
• reproduce state-of-the-art ViT and MLP papers
• export vision transformer models for production inference
• learn vision transformers with tutorials

When to choose

• you use PaddlePaddle and want transformer-based vision models
• you need pretrained ViT/MLP weights for fine-tuning
• you want a research-friendly codebase with standalone model modules
• you need multiple CV tasks (classification, detection, segmentation, GAN) in one collection

When to avoid

• your stack is PyTorch or TensorFlow rather than PaddlePaddle
• you need production-grade serving infrastructure out of the box
• you require very recent model architectures, as the last release was in 2022

Facets

library · maturity maintenance

deep-learning machine-learning image-processing computer-vision computer-vision deep-learning machine-learning image-processing python cross-platform vision-transformer vit paddlepaddle mlp-mixer image-classification object-detection semantic-segmentation gan pretrained-models model-zoo gpu

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