TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software
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Updated
May 31, 2024 - Python
TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software
Discretized Wasserstein Particle Flows of a MMD-regularized f-divergence functional.
C++ library for Sorted L-One Penalized Estimation (SLOPE)
R Package: Regularized Principal Component Analysis for Spatial Data
Machine Learning project - CMP2024 - Computer Engineering - Cairo University
Machine Learning project - CMP2024 - Computer Engineering - Cairo University
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn
Coding ML models, Sampling Methods, Feature Selection algorithms from scratch
Implementing regularization using sckit-learn
Controlling the spectral norm of implicitly linear layers (e.g., convolutional layers)
Deep Learning concepts and techniques: Regularization, Epochs, Batch,Hyperparameters, Cross validation, Optimizers
Techniques for Regularization of Inverse Problems in Python (TRIPs-Py).
The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks
Numerical methods for estimating the Bregman distance decay rate using cylindrical shearlet regularization for dynamic tomography
Image-processing software for cryo-electron microscopy
Demystify AI concepts: hand-solved problems translated into code for clarity.
A fast and flexible Structural Equation Modelling Framework
Analyze the customer data, build a neural network to help the operations team identify the customers that are more likely to churn, and provide recommendations on how to retain such customers
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