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
Python Data Structures and Algorithms This repository contains questions requiring implementation of data structures and algorithms concepts. It is us
Harvest is a Python based framework providing a simple and intuitive framework for algorithmic trading. Visit Harvest's website for details, tutorials
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
Description Implements (high-dimenstional) clustering algorithm described in https://arxiv.org/pdf/1804.02624.pdf Dependencies python3 pytorch (=0.4)
Visualize sorting algorithms A simple python application to visualize sorting algorithms. Sort Algorithms Name Function Name O( ) Bubble Sort bubble_s
Pathfinding_Visualization Finds the shortest path between two nodes. The light blue path is the shortest path. The black nodes are barriers. Created i
8_Puzzle 8 Puzzle with A* , Greedy & BFS Search in Python Python Install Python from here. Pip Install pip from here. How to run? 🚀 Install 8_Puzzle
Nature-inspired algorithms are a very popular tool for solving optimization problems. Numerous variants of nature-inspired algorithms have been develo
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.
The N Queen is the problem of placing N chess queens on an N×N chessboard so that no two queens attack each other.
PyPattyrn from pypattyrn.creational.singleton import Singleton class DummyClass(object, metaclass=Singleton): # DummyClass is now a Singleton!
causal-learn: Causal Discovery for Python Causal-learn is a python package for causal discovery that implements both classical and state-of-the-art ca
Path Planning using Neural A* Search (ICML 2021) This is a repository for the following paper: Ryo Yonetani*, Tatsunori Taniai*, Mohammadamin Barekata
Page Rank Implemented page rank program based on fact that a website is more important if it is linked to by other important websites using recursive
CarbonAI This project aims at creating a python package that allows you to monitor the power consumption of any python function. Documentation The com
Folosire: Pentru encriptare: python encrypt.py parola fișier pentru criptare fișier encriptat(de tip binar) Pentru decriptare: python decrypt.p
Fast implementation of the MuyGPs Gaussian process hyperparameter estimation algorithm MuyGPs is a GP estimation method that affords fast hyperparamet
Fliscopt FLIght SCheduling OPTimization 🛫 or fliscopt is a simple optimization library for flight scheduling and related problems in the discrete dom
frePPLe Open source supply chain planning FrePPLe is an easy-to-use and easy-to-implement open source advanced planning and scheduling tool for manufa
TikTok X-Gorgon & X-Khronos Generation Algorithm X-Gorgon and X-Khronos headers are required to call tiktok api. I will provide you API as rental or s
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