ry/tensorflow-resnet

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

1665 stars · 620 forks observed · 2026-08-28

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

An implementation of the ResNet deep residual learning model in TensorFlow, including a tool to convert Kaiming He's published Caffe pretrained weights for use in TensorFlow. The project is explicitly deprecated and does not run on modern TensorFlow.

Use cases

• train a ResNet model on CIFAR-10 or ImageNet in TensorFlow
• convert pretrained Caffe ResNet weights to TensorFlow format
• use a pretrained ResNet as a foundation for image classification experiments
• experiment with ResNet architecture variants like stochastic depth
• run fully convolutional ResNet on arbitrary input sizes

When to choose

• you need to load He et al's original Caffe ResNet weights into TensorFlow
• you are studying historical ResNet implementations or working with legacy TensorFlow 0.8-era code

When to avoid

• you are using any modern version of TensorFlow
• you want a maintained ResNet implementation - use tf.contrib.slim resnet_v1 or Keras applications instead
• you need out-of-the-box training on CIFAR-10/100 or ImageNet - the implementation is incomplete

Facets

library · maturity abandoned

machine-learning deep-learning image-processing deep-learning computer-vision machine-learning python resnet tensorflow pretrained-weights convolutional-networks image-classification

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markdown · JSON · MCP: product_card(name="ry/tensorflow-resnet")