Python implementation of some numerical (optimization) methods

Some examples on computing MLEs using TensorFlow

Optimization in ML

Python machine learning library using powerful numerical optimization methods.

Adversarial example creation based on BFGS algorithm implemented under TensorFlow

A Unified Pytorch Optimizer for Numerical Optimization

Implementation of numerical optimization algorithms for logistic regression problem.

Privacy-preserving survival analysis using multiparty computation

Constructing Metropolis-Hastings proposals using damped BFGS updates

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This repository provides a custom optimizer for the Atomistic Simulation Environment (ASE), implementing a Block-BFGS (B-BFGS) algorithm.

This repository contains the python code associated with my Master Thesis titled "Evaluation and Feasibility Study of Analog Sensor Front-End using Impedance Spectroscopy for Biomedical Application"

Course assignments for CL 663: IIT Bombay

Webley Coding Puzzle

Final project for the course O4DS at università di Pisa for the A.Y 2023/2024. In this project we explore the problem of estimating the matrix 2-norm as an unconstrained optimization problem using Steepest Descent and BFGS method.

Reimplementation of optimization algorithms.