Implementation of soft dynamic time warping in pytorch
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Updated
Sep 23, 2021 - Python
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
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
Implementing Neural Network on Irish data - evaluating accuracy, Mean Squared Error (MSE), Crossentropy and log-likelihood
Demo for the part 2 of the tutorial on pychain
Scoring model for financial company - all files
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