raghakot/keras-resnet

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1389 stars · 595 forks observed · 2026-08-28

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

A Keras implementation of Residual Networks (ResNet) using the Keras 1.0 functional API, supporting both Theano and TensorFlow backends. It provides a ResNetBuilder factory to construct standard ResNet architectures like ResNet18 and ResNet50 with custom input shapes.

Use cases

• build resnet models in keras
• train a resnet on cifar10
• implement residual networks for image classification
• create custom resnet architectures with my own input shape
• use bottleneck and basic residual blocks in keras

When to choose

• you are working with legacy Keras 1.x codebases and need a reference ResNet implementation
• you want a simple, readable ResNet implementation to study or modify

When to avoid

• you are using modern TensorFlow/Keras 2.x, where ResNet is built into keras.applications
• you need actively maintained code or support for recent Keras versions
• you need state-of-the-art CIFAR-10 accuracy out of the box

Facets

library · maturity abandoned

deep-learning machine-learning deep-learning computer-vision image-processing python resnet keras neural-networks image-classification convolutional-networks

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