Implementation of approximate free-energy minimization in PyTorch
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Updated
Oct 16, 2021 - Python
Implementation of approximate free-energy minimization in PyTorch
Implementation of our paper entitiled FAMINet: Learning Real-time Semi-supervised Video Object Segmentation with Steepest Optimized Optical Flow published in TIM.
A Unified Pytorch Optimizer for Numerical Optimization
Implementation of Unconstrained minimization algorithms. These are listed below:
This contains three programs written in python. Gauss-Seidel and Successive Over Relaxation to solve system of equations and Steepest-Descent to minimize a function of 2 or 3 variables.
Contains a mathematical optimization project implemented in Python
Example Code for numerical optimization. Written in python.
Through this project we will try to understand working of Steepest-Descent and Gradient-Descent method and the differences between them.
Course assignments for CL 663: IIT Bombay
This repo contain implementation of Steepest Descent algorithm using inexact line search and Newton's method on Functions like Tried Function, Three Hump Camel, Styblinski-Tang Function, Rosenbrock Function, etc.
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