Lists (7)
Stars
Implementation of One-step Latent-free Image Generation with Pixel Mean Flows (Lu et al., 2026)
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
Data and code for the paper "Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres" published at NIPS 2018
Reconstruct original image from distorted speckle pattern with deep learning networks
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Variational Autoencoder (VAE) PyTorch Tutorial from Scratch
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
I use Convolutional Autoencoder to reconstruct blurred, pixelated, and speckled facial images
SSIM-Edge-CNN-U2Net Two-Stage Residual Learning to Restore Natural Scene Images Through Multimode Fiber
Machine learning project using a dataset yielded by an optics experiment from the EPFL optics laboratory
A project to improve optical fiber function to create a high data quality transfer on multimode optical fiber.
This repository stores my codes to improve the image reconstruction process for multimode fiber experiments.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
A reserach on image reconstruction from optical speckle patterns.
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.
Everything about note management. All in Zotero.
A summary of all lucidrains repositores and links to training / research approaches by LAION or other communities.