gabrielelobosco/denoising-autoencoder-r

Image Denoising with Autoencoders in R (University Project) Built a convolutional autoencoder in R using Keras/TensorFlow to perform image denoising on MNIST and CIFAR-10 datasets with varying levels of Gaussian noise. Achieved up to 33.6 dB PSNR on MNIST (σ = 0.1). Using PSNR, SSIM to evaluate the model. Technologies: R, Keras, TensorFlow

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Language

R

License

MIT

Category

variational-autoencoder-implementations

Last pushed

Jul 30, 2025

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Variational Autoencoder Implementations · 77 frameworks

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