Image inpainting is a technique used in computer vision and image processing to fill in missing or damaged parts of an image.
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Jul 4, 2024 - Jupyter Notebook
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autoencoder-cifar10
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Autoencoders are a type of neural network used to learn efficient codings of unlabeled data. They work by compressing the input into a latent space representation and then reconstructing the output from this representation.
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Jun 28, 2024 - Jupyter Notebook
The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for the purpose of dimensionality reduction.
autoencoder vae denoising-autoencoders variational-autoencoder autoencoder-mnist autoencoder-cifar10
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Nov 11, 2020 - Jupyter Notebook
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
machine-learning r ai deep-learning academic image-processing mnist academic-project ia cifar10 denoising-autoencoders image-denoising denoising autoencoder-mnist autoencoder-cifar10 denoising-mnist-data
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Jul 30, 2025 - R
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