Alhasan-Abdellatif

Infinite_Texture_GANs

Infinite Generation of single texture images using patch-by-patch GAN

3D-plot-in-python

Simple code for plotting 3D images in python with colors

Alhasan-Abdellatif.github.io

Belka

Deep learning models for Predicting the binding affinity of small molecules to specific protein

cGANs

A PyTorch implementation of GANs models for generating geological facies

Infinite_Texture_GANs

Infinite Generation of single texture images using patch-by-patch GAN

NonstationaryGANs

Real-ESRGAN-lp

Real-ESRGAN LP is an improved version of the RealESRGAN model designed to eliminate tiling artifacts when super-resolving large inputs

SIIM-ISIC-Melanoma-2020

A PyTorch code for the classification problem in SIIM-ISIC Melanoma 2020 Kaggle Competition

Sparse-kernel-for-SVM

Sparse kernel applied to SVM through Sparse Cholesky factorization for speeding-up training.

Alhasan-Abdellatif/cGANs

A PyTorch implementation of GANs models for generating geological facies

Alhasan-Abdellatif/NonstationaryGANs

Alhasan-Abdellatif/SIIM-ISIC-Melanoma-2020

A PyTorch code for the classification problem in SIIM-ISIC Melanoma 2020 Kaggle Competition

Alhasan-Abdellatif/3D-plot-in-python

Simple code for plotting 3D images in python with colors

Alhasan-Abdellatif/Alhasan-Abdellatif.github.io

Alhasan-Abdellatif/Real-ESRGAN-lp

Real-ESRGAN LP is an improved version of the RealESRGAN model designed to eliminate tiling artifacts when super-resolving large inputs

Alhasan-Abdellatif/Belka

Deep learning models for Predicting the binding affinity of small molecules to specific protein

Alhasan-Abdellatif/Infinite_Texture_GANs

Infinite Generation of single texture images using patch-by-patch GAN

Alhasan-Abdellatif/Sparse-kernel-for-SVM

Sparse kernel applied to SVM through Sparse Cholesky factorization for speeding-up training.