Implementation of soft dynamic time warping in pytorch

A dependency free library of standardized optimization test functions written in pure Python.

This program implements logistic regression from scratch using the gradient descent algorithm in Python to predict whether customers will purchase a new car based on their age and salary.

Monte-Carlo search for the minimum of the multidimensional "cost" function

Machine Learning

Grid and Graph Search with the A* algorithm (path+cost function) for a drone in an urban environment + Path optimization

Improved a linear regression model with gradient descent.

Implementation is to use gradient descent to find the optimal values of θ that minimize the cost function.

Repository for the Software and Computing for Applied Physics Project

The simulated annealing algorithm that minimizes a cost function, which indicates the degree of matching between the force field (FF) and density-functional theory (DFT).

Implement DFS, BFS, UCS, and A* algorithms && minimax and expectimax algorithms, as well as designing evaluation functions

Custom neural network implementation from scratch

Implementing Neural Network on Irish data - evaluating accuracy, Mean Squared Error (MSE), Crossentropy and log-likelihood

SegLoss: This repository discloses cost functions designed for the semantic segmentation tasks, namely, Active Boundary Loss, Boundary Loss and Distance Trasform Loss.

Demo for the part 2 of the tutorial on pychain