The state-of-the-art method for denoising 1D signals
An R package for pre-processing and error evaluation of COI-5P barcode data
A set of functions for effective ASV filtering in eDNA metabarcoding data on the basis of GMM
A sequence-by-sequence denoiser for COI DNA barcode and metabarcode data
Statistical software for the SALT Observatory
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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