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.

Constructing Metropolis-Hastings proposals using damped BFGS updates

Python implementations of optimization algorithms for Prof. Li Gao's Optimization Methods course assignments at BUAA.

Privacy-preserving survival analysis using multiparty computation

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

Optimization algorithms implemented from scratch with numerical benchmarks, visualizations, tests, and an interactive Streamlit application.

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.

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

Automate captcha resolution with this open-source tool designed for efficient and reliable task processing.

Reimplementation of optimization algorithms.