facebookresearch/deit

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

4355 stars · 592 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Official PyTorch repository for DeiT and related vision transformer architectures (CaiT, ResMLP, PatchConvnet, DeiT III), providing training, evaluation code and pretrained models for data-efficient image classification. It accompanies published research papers from Facebook AI Research.

Use cases

• train vision transformers with limited data
• download pretrained image classification models
• reproduce DeiT research results
• fine-tune image transformers on custom datasets
• compare vision transformer architectures like CaiT and ResMLP
• learn knowledge distillation through attention

When to choose

• you need data-efficient vision transformer training or pretrained checkpoints
• you want to reproduce or build on DeiT-family research papers
• you need PyTorch implementations of ViT variants for image classification

When to avoid

• you need a production image classification service rather than research code
• you work outside PyTorch
• you need general-purpose computer vision beyond image classification

Facets

library · maturity maintenance

machine-learning deep-learning image-processing computer-vision deep-learning image-processing python vision-transformer pytorch image-classification knowledge-distillation research-code pretrained-models gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="facebookresearch/deit")