Pinned Repositories
AutoEncoderTest
Small project I did on dimensionality reduction with AutoEncoders and Adversarial Autoencoders in a few days
BesselEstimation
Small one week school project that I think was really interesting. The goal is to categorize images by only 2 parameters that are estimated by fitting a density probability density to histograms of the gradient of the image.
Gan_data_augmentation
Partial work from 2019, missing some commits from back then. Showing limits of the GANs for data augmentation
NumpyNeuralNetwork
Implementation of neural networks with only numpy. Contains very detailed comments on regression/classifier as well as a GAN
SuperResolution
Pytorch Implemenation of a SRGAN with regularization loss to stabilize GAN training. Work presented at the Japanese conference MIRU.
TextureSynthesis
Implementation of 4 different Texture Synthesis algorithms in python 3 using numpy. Two Patch based and 2 density based implementations. Color and grayscale available. Indepth performance analysis both quality and computationally.
pGAN
A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs
JasonPlawinski's Repositories
JasonPlawinski/SuperResolution
Pytorch Implemenation of a SRGAN with regularization loss to stabilize GAN training. Work presented at the Japanese conference MIRU.
JasonPlawinski/BesselEstimation
Small one week school project that I think was really interesting. The goal is to categorize images by only 2 parameters that are estimated by fitting a density probability density to histograms of the gradient of the image.
JasonPlawinski/Gan_data_augmentation
Partial work from 2019, missing some commits from back then. Showing limits of the GANs for data augmentation
JasonPlawinski/TextureSynthesis
Implementation of 4 different Texture Synthesis algorithms in python 3 using numpy. Two Patch based and 2 density based implementations. Color and grayscale available. Indepth performance analysis both quality and computationally.
JasonPlawinski/AutoEncoderTest
Small project I did on dimensionality reduction with AutoEncoders and Adversarial Autoencoders in a few days
JasonPlawinski/NumpyNeuralNetwork
Implementation of neural networks with only numpy. Contains very detailed comments on regression/classifier as well as a GAN