Pinned Repositories
Algorithms
Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithms.
Automated-Cardiac-Diagnosis
Working on a dataset consist of heart MRIs to develop deep learning models to Heart segmentation, and heart desies daignosis.
bayesgan
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
chaospy
Chaotic attractors (Lorenz, Rossler, Rikitake etc.)
cs-mri-gan
Structure preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks (CVPRW 2020)
image_generator
DCGAN image generator 🖼️.
Multiclass_Metasurface_InverseDesign
Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasurfaces. Reference: https://onlinelibrary.wiley.com/doi/10.1002/adom.202100548
Zahraamoh's Repositories
Zahraamoh/Algorithms
Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithms.
Zahraamoh/Automated-Cardiac-Diagnosis
Working on a dataset consist of heart MRIs to develop deep learning models to Heart segmentation, and heart desies daignosis.
Zahraamoh/bayesgan
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
Zahraamoh/chaospy
Chaotic attractors (Lorenz, Rossler, Rikitake etc.)
Zahraamoh/cs-mri-gan
Structure preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks (CVPRW 2020)
Zahraamoh/image_generator
DCGAN image generator 🖼️.
Zahraamoh/Multiclass_Metasurface_InverseDesign
Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasurfaces. Reference: https://onlinelibrary.wiley.com/doi/10.1002/adom.202100548