facebookresearch/ResNeXt

Health v2 · maintenance only

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Adoption not part of the score

1924 stars · 291 forks observed · 2026-08-28

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

A Torch (Lua) implementation of the ResNeXt architecture from the paper 'Aggregated Residual Transformations for Deep Neural Networks', built on top of fb.resnet.torch. It provides a training framework for image classification on ImageNet along with pretrained models.

Use cases

• train a ResNeXt model on ImageNet
• reproduce results from the ResNeXt paper
• classify images with a pretrained ResNeXt network
• experiment with cardinality in residual network architectures
• fine-tune ResNeXt on a custom image classification dataset

When to choose

• you specifically need the original ResNeXt implementation in Torch
• you are reproducing the paper's ImageNet results
• you are researching aggregated residual transformations

When to avoid

• you want a modern PyTorch or TensorFlow implementation
• you are starting a new project (Torch is deprecated)
• you need active maintenance or recent GPU support

Facets

library · maturity abandoned

deep-learning machine-learning image-processing deep-learning computer-vision image-processing machine-learning lua resnext image-classification torch convolutional-networks imagenet research-code residual-networks gpu linux

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