Code for generating alloy / disordered structures through the special quasirandom structure (SQS) algorithm
sqs.py in any directory and add the path of the directory to PYTHONPATHexport PYTHONPATH=/the/path/of/your/dir:${PYTHONPATH}
examples folder
Genetic-Algorithm-for-Assignment-Problem A priority of preferences for teacher assignment problem Keywords k-partition; clustering; education 4.0 Abst
iAWE is a wonderful dataset for those of us who work on Non-Intrusive Load Monitoring (NILM) algorithms. You can find its main page and description via this link. If you are familiar with NILM-TK API
HashDB HashDB is a community-sourced library of hashing algorithms used in malware. How To Use HashDB HashDB can be used as a stand alone hashing libr
Fast implementation of the MuyGPs Gaussian process hyperparameter estimation algorithm MuyGPs is a GP estimation method that affords fast hyperparamet
Repository for Comparison based sorting algorithms in python. This was implemented for project one submission for ITCS 6114 Data Structures and Algorithms under the guidance of Dr. Dewan at the Unive
path-finding-algorithm-visualizer ~ click on the grid to place the starting block and then click elsewhere to add the end block ~ click again to place
The Algorithms - Python All algorithms implemented in Python - for education Implementations are for learning purposes only. As they may be less effic
The Algorithms - Python All algorithms implemented in Python (for education) These implementations are for learning purposes only. Therefore they may
RRT-Algorithm-Visualisation This is a project that aims to develop upon the RRT
Infomap Infomap is a network clustering algorithm based on the Map equation. For detailed documentation, see mapequation.org/infomap. For a list of re
Distributed Grid Descent: an algorithm for hyperparameter tuning guided by Bayesian inference, designed to run on multiple processes and potentially many machines with no central point of control.
Simple-Kmeans-Clustering-Algorithm Abstract K-means is a centroid-based algorithm, or a distance-based algorithm, where we calculate the distances to
🧬 Performant Evolutionary Algorithms For Python with Ray support
Make Sure the dataset file "spamData.mat" is in the folder spam\src Environment: Python --version = 3.7 Third Party: numpy, matplotlib, math, scipy
Cutting Stock Problem Cutting Stock Problem (CSP) deals with planning the cutting of items (rods / sheets) from given stock items (which are usually o
Programming-Foundations-Algorithms Algorithms purpose to solve a specific proplem with a sequential sets of steps for instance : if you need to add di
Policy Gradient Algorithms From Scratch (NumPy) This repository showcases two policy gradient algorithms (One Step Actor Critic and Proximal Policy Op
🧬 Training the car to do self-parking using a genetic algorithm
TSP-Nearest-Insertion A raw implementation of the nearest insertion algorithm to resolve TSP problems in a TXT format. Instructions Load a txt file wi
Algoritmos-de-Buscas Algoritmos de busca: Abaixo está a interface da aplicação: Ao selecionar o tipo de busca e o caminho, então será realizado o cálc
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