Pinned Repositories
algo
Программы по тексту лекций "Алгоритмы и структуры данных"
BSRNet
Blind Single Image Super-Resolution for Real Images (PyTorch) - Coming soon
CNN
Deep Residual Learning for Image Restoration(SISR/Denoising) : Persistent Homology-Guided Manifold Simplification
DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
FFDNet
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)
functional
Примеры на языке Haskell, разбираемые на лекциях для 4-го курса ЕНФ ИТМО
informatics
Introduction
SGN-41008
Supplementary materials for course "Pattern Recognition and Machine Learning" at
TAURobotSurfaceDetection_Group13
stiflerbox's Repositories
stiflerbox/algo
Программы по тексту лекций "Алгоритмы и структуры данных"
stiflerbox/BSRNet
Blind Single Image Super-Resolution for Real Images (PyTorch) - Coming soon
stiflerbox/CNN
Deep Residual Learning for Image Restoration(SISR/Denoising) : Persistent Homology-Guided Manifold Simplification
stiflerbox/DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
stiflerbox/FFDNet
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)
stiflerbox/functional
Примеры на языке Haskell, разбираемые на лекциях для 4-го курса ЕНФ ИТМО
stiflerbox/informatics
stiflerbox/Introduction
stiflerbox/SGN-41008
Supplementary materials for course "Pattern Recognition and Machine Learning" at
stiflerbox/TAURobotSurfaceDetection_Group13
stiflerbox/KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN
stiflerbox/Lists
stiflerbox/ListSorting
stiflerbox/oop
Программы из лекций по объектно-ориентированному программированию
stiflerbox/sed-crnn
Single and multichannel sound event detection using convolutional recurrent neural networks. DCASE 2017 real-life sound event detection winning method.
stiflerbox/simple-login-app
The SimpleLogin back-end and web app
stiflerbox/technology
Программы и данные из лекций по "Технологиям программирования"