Python machine learning library using powerful numerical optimization methods.
-
Updated
Jul 31, 2021 - Python
Python machine learning library using powerful numerical optimization methods.
Reimplementation of optimization algorithms.
A Unified Pytorch Optimizer for Numerical Optimization
Python implementation of some numerical (optimization) methods
Constructing Metropolis-Hastings proposals using damped BFGS updates
Optimization in ML
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
Implementation of numerical optimization algorithms for logistic regression problem.
Adversarial example creation based on BFGS algorithm implemented under TensorFlow
Add a description, image, and links to the bfgs topic page so that developers can more easily learn about it.
To associate your repository with the bfgs topic, visit your repo's landing page and select "manage topics."