facebookarchive/fb.resnet.torch

Health v2 · maintenance only

Flags: no_releases archived no_license

Adoption not part of the score

2360 stars · 662 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 ResNet residual networks for image classification, with training scripts for ImageNet and pretrained models from ResNet-18 to ResNet-200. The project is archived and no longer maintained, with PyTorch recommended as its successor.

Use cases

• train a ResNet on ImageNet
• fine-tune pretrained ResNet on a custom dataset
• classify images with a pretrained ResNet model
• extract image features using ResNet
• reproduce ResNet paper results in Torch

When to choose

• you specifically need the original Torch/Lua ResNet implementation
• you want the pretrained Torch ResNet checkpoints for research reproduction

When to avoid

• starting any new project (use PyTorch instead)
• you need maintained code or modern GPU support
• you don't have the legacy Torch framework installed

Facets

library · maturity abandoned

machine-learning deep-learning gpu-computing computer-vision image-processing deep-learning machine-learning lua resnet torch imagenet pretrained-models archived convolutional-networks linux gpu

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markdown · JSON · MCP: product_card(name="facebookarchive/fb.resnet.torch")