Improved LBFGS and LBFGS-B optimizers in PyTorch.
Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth
Implementation of numerical optimization algorithms for logistic regression problem.
Here I upload my ML test scripts written in MATLAB or Python
Radio interferometric calibration with PyTorch. An example of how to solve a general optimization problem.
In This repository I developed a python code for solution of 1D steady-state heat condunction in a homogeneous rod using physics-informed neural networks (PINNs). This project represents the flexibility of using machine learning & Deep learning methods on classical physics problems.
Neural Style Transfer with PyTorch: Multi-scale pyramid optimization and L-BFGS refinement for high-quality artistic image generation using VGG19.
A Python library for large-scale convex composite optimization.
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