113 Repositories
Python 8-queens-problem Libraries
Repository for RNNs using TensorFlow and Keras - LSTM and GRU Implementation from Scratch - Simple Classification and Regression Problem using RNNs
RNN 01- RNN_Classification Simple RNN training for classification task of 3 signal: Sine, Square, Triangle. 02- RNN_Regression Simple RNN training for
It's a simple script to generate a mush on code forces, the script will accept the public problem urls only or polygon problems.
Codeforces-Sheet-Generator It's a simple script to generate a mushup on code forces, the script will accept the public problem urls only or polygon pr
Codes for AAAI22 paper "Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum"
Paper For more details, please see our paper Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum which has been accepted a
Birthday-problem - The birthday problem asks for the probability that, in a set of n randomly chosen people, at least two will share a birthday
Birthday-problem In probability theory, the birthday problem asks for the probab
Checking fibonacci - Generating the Fibonacci sequence is a classic recursive problem
Fibonaaci Series Generating the Fibonacci sequence is a classic recursive proble
Graph Coloring - Weighted Vertex Coloring Problem
Graph Coloring - Weighted Vertex Coloring Problem This project proposes several local searches and an MCTS algorithm for the weighted vertex coloring
Project in which we modelise an Among Us problem using graph theories.
Python-AmongUsProblem Project in which we modelise an Among Us problem using graph theories. The rules are as following: Total of 100 players 10 playe
Using A * search algorithm and GBFS search algorithm to solve the Romanian problem
Romanian-problem-using-Astar-and-GBFS Using A * search algorithm and GBFS search algorithm to solve the Romanian problem Romanian problem: The agent i
N Queen Problem using Genetic Algorithm
The N Queen is the problem of placing N chess queens on an N×N chessboard so that no two queens attack each other.
Genetic algorithms are heuristic search algorithms inspired by the process that supports the evolution of life.
Genetic algorithms are heuristic search algorithms inspired by the process that supports the evolution of life. The algorithm is designed to replicate the natural selection process to carry generation, i.e. survival of the fittest of beings.
SatelliteSfM - A library for solving the satellite structure from motion problem
Satellite Structure from Motion Maintained by Kai Zhang. Overview This is a libr
[ECE NTUA] 👁 Computer Vision - Lab Projects & Theoretical Problem Sets (2020-2021)
Computer Vision - NTUA (2020-2021) This repository hosts the lab projects and theoretical problem sets of the Computer Vision course held by ECE NTUA
Fast and exact ILP-based solvers for the Minimum Flow Decomposition (MFD) problem, and variants of it.
MFD-ILP Fast and exact ILP-based solvers for the Minimum Flow Decomposition (MFD) problem, and variants of it. The solvers are implemented using Pytho
Euler 021 Py - Euler Problem 021 solved in Python
Euler_021_Py Euler Problem 021 solved in Python Let d(n) be defined as the sum o
Doing fast searching of nearest neighbors in high dimensional spaces is an increasingly important problem
Benchmarking nearest neighbors Doing fast searching of nearest neighbors in high dimensional spaces is an increasingly important problem, but so far t
This repository is all about spending some time the with the original problem posed by Minsky and Papert
This repository is all about spending some time the with the original problem posed by Minsky and Papert. Working through this problem is a great way to begin learning computer vision.
visualize_ML is a python package made to visualize some of the steps involved while dealing with a Machine Learning problem
visualize_ML visualize_ML is a python package made to visualize some of the steps involved while dealing with a Machine Learning problem. It is build
This a classic fintech problem that introduces real life difficulties such as data imbalance. Check out the notebook to find out more!
Credit Card Fraud Detection Introduction Online transactions have become a crucial part of any business over the years. Many of those transactions use
Binary Classification Problem with Machine Learning
Binary Classification Problem with Machine Learning Solving Approach: 1) Ultimate Goal of the Assignment: This assignment is about solving a binary cl
The goal of the exercises below is to evaluate the candidate knowledge and problem solving expertise regarding the main development focuses for the iFood ML Platform team: MLOps and Feature Store development.
The goal of the exercises below is to evaluate the candidate knowledge and problem solving expertise regarding the main development focuses for the iFood ML Platform team: MLOps and Feature Store development.
cl;asification problem using classification models in supervised learning
wine-quality-predition---classification cl;asification problem using classification models in supervised learning Wine Quality Prediction Analysis - C
Flask Web DRY full-stack framework by Problem Fighter
In the name of God, the Most Gracious, the Most Merciful. PF-Flask-Web Documentation Install and update using pip: pip install -U PF-Flask-Web Please
Python YAML Environment (ymlenv) by Problem Fighter Library
In the name of God, the Most Gracious, the Most Merciful. PF-PY-YMLEnv Documentation Install and update using pip: pip install -U PF-PY-YMLEnv Please
Exam Schedule Generator using Genetic Algorithm
Exam Schedule Generator using Genetic Algorithm Requirements Use any kind of crossover Choose any justifiable rate of mutation Use roulette wheel sele
Problem-943.-ACMP - Problem 943. ACMP
Problem-943.-ACMP В "main.py" расположен вариант моего решения задачи 943 с серв
Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ Segmentation
Info This is the code repository of the work Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ Segmentation from Elias T
Active Transport Analytics Model: A new strategic transport modelling and data visualization framework
{ATAM} Active Transport Analytics Model Active Transport Analytics Model (“ATAM”
Active Transport Analytics Model (ATAM) is a new strategic transport modelling and data visualization framework for Active Transport as well as emerging micro-mobility modes
{ATAM} Active Transport Analytics Model Active Transport Analytics Model (“ATAM”) is a new strategic transport modelling and data visualization framew
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
Break The Ice With Python A journey of 100+ simple yet interesting problems which are explained, solved, discussed in different pythonic ways Introduc
Modelling the 30 salamander problem from `Pure Mathematics` by Martin Liebeck
Salamanders on an island The Problem From A Concise Introduction to Pure Mathematics By Martin Liebeck Critic Ivor Smallbrain is watching the horror m
Problem 5: Fermat near-misses
Problem 5: Fermat near-misses fermatnearmiss This is a script that computes fermat nearm misses when the -f option is set and requires users to input
A middle-to-high level algorithm book designed with coding interview at heart!
Hands-on Algorithmic Problem Solving A one-stop coding interview prep book! About this book In short, this is a middle-to-high level algorithm book de
Problem: Given a nepali news find the category of the news
Classification of category of nepali news catorgory using different algorithms Problem: Multiclass Classification Approaches: TFIDF for vectorization
Python Common things by Problem Fighter Library, (Exception, Debug Log, etc.)
In the name of God, the Most Gracious, the Most Merciful. PF-PY-Common Documentation Install and update using pip: pip install -U xxxx Please find the
This project deals with a simplified version of a more general problem of Aspect Based Sentiment Analysis.
Aspect_Based_Sentiment_Extraction Created on: 5th Jan, 2022. This project deals with an important field of Natural Lnaguage Processing - Aspect Based
Animation of solving the traveling salesman problem to optimality using mixed-integer programming and iteratively eliminating sub tours
tsp-streamlit Animation of solving the traveling salesman problem to optimality using mixed-integer programming and iteratively eliminating sub tours.
30DaysOfCode-PhoenixClub - Solution of everyday coding problem given in 30DaysofCode contest held on Hackerrank
30DaysOfCode-PhoenixClub 👨💻 Every day problems solution given in 30DaysOfCode
Pf-flask-rest-com - Flask REST API Common Implementation by Problem Fighter Library
In the name of God, the Most Gracious, the Most Merciful. PF-Flask-Rest-Com Docu
NasirKhusraw - The TSP solved using genetic algorithm and show TSP path overlaid on a map of the Iran provinces & their capitals.
Nasir Khusraw : Travelling Salesman Problem The TSP solved using genetic algorithm. This project show TSP path overlaid on a map of the Iran provinces
Monty Hall Problem simulation written in Python.
Monty Hall Problem Simulation monty_hall_sim is a brute-force method of determining the optimal strategy for the Monty Hall Problem. Usage Set boolean
An universal file format tool kit. At present will handle the ico format problem.
An universal file format tool kit. At present will handle the ico format problem.
An off-line judger supporting distributed problem repositories
Thaw 中文 | English Thaw is an off-line judger supporting distributed problem repositories. Everyone can use Thaw release problems with license on GitHu
A Python program to easily solve the n-queens problem using min-conflicts algorithm
QueensProblem A program to easily solve the n-queens problem using min-conflicts algorithm Performances estimated with a sample of 1000 different rand
nettrace is a powerful tool to trace network packet and diagnose network problem inside kernel.
nettrace nettrace is is a powerful tool to trace network packet and diagnose network problem inside kernel on TencentOS. It make use of eBPF and BCC.
N-Queens game made using pygame library
N-Queens N-Queens game using pygame for AIML201 Testing: 1. git clone https://github.com/python-game-dev/N-Queens.git 2. cd N-Queens 3. python main.py
Manually Install Python 2.7 pip without any problem !
Python2.7_install_pip Manually Install Python 2.7 pip without any problem ! Download installPip.py to your system and Run the code using this Command
Nag0mi ctf problem 2021 writeup
Nag0mi ctf problem 2021 writeup
A spider for Universal Online Judge(UOJ) system, converting problem pages to PDFs.
Universal Online Judge Spider Introduction This is a spider for Universal Online Judge (UOJ) system (https://uoj.ac/). It also works for all other Onl
Experiments with the Robust Binary Interval Search (RBIS) algorithm, a Query-Based prediction algorithm for the Online Search problem.
OnlineSearchRBIS Online Search with Best-Price and Query-Based Predictions This is the implementation of the Robust Binary Interval Search (RBIS) algo
ML Kaggle Titanic Problem using LogisticRegrission
-ML-Kaggle-Titanic-Problem-using-LogisticRegrission here you will find the solution for the titanic problem on kaggle with comments and step by step c
Verification of Monty Hall problem by experimental simulation.
Verification of Monty Hall problem by experimental simulation. |中文|English| In the process of learning causal inference, I learned about the Monty Hal
A Python project for optimizing the 8 Queens Puzzle using the Genetic Algorithm implemented in PyGAD.
8QueensGenetic A Python project for optimizing the 8 Queens Puzzle using the Genetic Algorithm implemented in PyGAD. The project uses the Kivy cross-p
Algorithm for Cutting Stock Problem using Google OR-Tools. Link to the tool:
Cutting Stock Problem Cutting Stock Problem (CSP) deals with planning the cutting of items (rods / sheets) from given stock items (which are usually o
"Cambio de monedas" Change-making problem with Python, dynamic programming best solutions,
Change-making-problem / Cambio de monedas Entendiendo el problema Dada una cantidad de dinero y una lista de denominaciones de monedas, encontrar el n
About Solve CTF offline disconnection problem - based on python3's small crawler
About Solve CTF offline disconnection problem - based on python3's small crawler, support keyword search and local map bed establishment, currently support Jianshu, xianzhi,anquanke,freebuf,seebug
Ant Colony Optimization for Traveling Salesman Problem
tsp-aco Ant Colony Optimization for Traveling Salesman Problem Dependencies Python 3.8 tqdm numpy matplotlib To run the solver run main.py from the p
A simple program to run through inputs for a 3n+1 problem
Author Tyler Windemuth Collatz_Conjecture A simple program to run through inputs for a 3n+1 problem Purpose: doesn't really have a purpose, did this t
Given an array of integers, calculate the ratios of its elements that are positive, negative, and zero.
Given an array of integers, calculate the ratios of its elements that are positive, negative, and zero. Print the decimal value of each fraction on a new line with places after the decimal.
Problem statements on System Design and Software Architecture as part of Arpit's System Design Masterclass
Problem statements on System Design and Software Architecture as part of Arpit's System Design Masterclass
Benchmarks for the Optimal Power Flow Problem
Power Grid Lib - Optimal Power Flow This benchmark library is curated and maintained by the IEEE PES Task Force on Benchmarks for Validation of Emergi
Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"
Trajectory Transformer Code release for Offline Reinforcement Learning as One Big Sequence Modeling Problem. Installation All python dependencies are
Image classification for projects and researches
This is a tool to help you quickly solve classification problems including: data analysis, training, report results and model explanation.
Txt2Xml tool will help you convert from txt COCO format to VOC xml format in Object Detection Problem.
TXT 2 XML All codes assume running from root directory. Please update the sys path at the beginning of the codes before running. Over View Txt2Xml too
Online HackerRank problem solving challenges
LinkedListHackerRank Online HackerRank problem solving challenges This challenge is part of a tutorial track by MyCodeSchool You are given the pointer
Json2Xml tool will help you convert from json COCO format to VOC xml format in Object Detection Problem.
JSON 2 XML All codes assume running from root directory. Please update the sys path at the beginning of the codes before running. Over View Json2Xml t
This Repository consists of my solutions in Python 3 to various problems in Data Structures and Algorithms
Problems and it's solutions. Problem solving, a great Speed comes with a good Accuracy. The more Accurate you can write code, the more Speed you will
A paper using optimal transport to solve the graph matching problem.
GOAT A paper using optimal transport to solve the graph matching problem. https://arxiv.org/abs/2111.05366 Repo structure .github: Files specifying ho
nbsafety adds a layer of protection to computational notebooks by solving the stale dependency problem when executing cells out-of-order
nbsafety adds a layer of protection to computational notebooks by solving the stale dependency problem when executing cells out-of-order
A priority of preferences for teacher assignment problem
Genetic-Algorithm-for-Assignment-Problem A priority of preferences for teacher assignment problem Keywords k-partition; clustering; education 4.0 Abst
Parameterising Simulated Annealing for the Travelling Salesman Problem
Parameterising Simulated Annealing for the Travelling Salesman Problem
A simple solution for water overflow problem in Python
Water Overflow problem There is a stack of water glasses in a form of triangle as illustrated. Each glass has a 250ml capacity. When a liquid is poure
'Solving the sampling problem of the Sycamore quantum supremacy circuits
solve_sycamore This repo contains data, contraction code, and contraction order for the paper ''Solving the sampling problem of the Sycamore quantum s
Parameterising Simulated Annealing for the Travelling Salesman Problem
Parameterising Simulated Annealing for the Travelling Salesman Problem Abstract The Travelling Salesman Problem is a well known NP-Hard problem. Given
The producer-consumer problem implemented with threads in Python
This was developed using a Python virtual environment, I would strongly recommend to do the same if you want to clone this repository. How to run this
Constructing interpretable quadratic accuracy predictors to serve as an objective function for an IQCQP problem that represents NAS under latency constraints and solve it with efficient algorithms.
IQNAS: Interpretable Integer Quadratic programming Neural Architecture Search Realistic use of neural networks often requires adhering to multiple con
Tracking Pipeline helps you to solve the tracking problem more easily
Tracking_Pipeline Tracking_Pipeline helps you to solve the tracking problem more easily I integrate detection algorithms like: Yolov5, Yolov4, YoloX,
Utility tools for the "Divide and Remaster" dataset, introduced as part of the Cocktail Fork problem paper
Divide and Remaster Utility Tools Utility tools for the "Divide and Remaster" dataset, introduced as part of the Cocktail Fork problem paper The DnR d
A simulator for xkcd 2529's weirdly concrete problem
What is this? This is a quick hack implementation of a simulator for xkcd 2529's weirdly concrete problem. This is barely tested and I suck at computa
This repository requires you to solve a problem by writing some basic python code.
Can You Solve a Problem? A beginner friendly repository that requires you to solve familiar problems with python. This could be as simple as implement
The code for paper Efficiently Solve the Max-cut Problem via a Quantum Qubit Rotation Algorithm
Quantum Qubit Rotation Algorithm Single qubit rotation gates $$ U(\Theta)=\bigotimes_{i=1}^n R_x (\phi_i) $$ QQRA for the max-cut problem This code wa
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem Liang Xin, Wen Song, Zhiguang
Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.
DuoRec Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. Usage Download datasets fr
An end-to-end regression problem of predicting the price of properties in Bangalore.
Bangalore-House-Price-Prediction An end-to-end regression problem of predicting the price of properties in Bangalore. Deployed in Heroku using Flask.
Fix Eitaa Messenger's Font Problem on Linux
Fix Eitaa Messenger's Font Problem on Linux
OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
OptaPy is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference Scheduling, Job Shop Scheduling, Bin Packing and many more planning problems.
Definition of a business problem according to Wilson Lower Bound Score and Time Based Average Rating
Wilson Lower Bound Score, Time Based Rating Average In this study I tried to calculate the product rating and sorting reviews more accurately. I have
Unsupervised Abstract Reasoning for Raven’s Problem Matrices
Unsupervised Abstract Reasoning for Raven’s Problem Matrices This code is the implementation of our TIP paper. This is the first unsupervised abstract
[ICCV-2021] An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation
An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation (ICCV 2021) Introduction This is an official pytorch implemen
Auto-detecting the n+1 queries problem in Python
nplusone nplusone is a library for detecting the n+1 queries problem in Python ORMs, including SQLAlchemy, Peewee, and the Django ORM. The Problem Man
Auto-detecting the n+1 queries problem in Python
nplusone nplusone is a library for detecting the n+1 queries problem in Python ORMs, including SQLAlchemy, Peewee, and the Django ORM. The Problem Man
Entropy-controlled contexts in Python
Python module ordered ordered module is the opposite to random - it maintains order in the program. import random x = 5 def increase(): global x
OptaPlanner wrappers for Python. Currently significantly slower than OptaPlanner in Java or Kotlin.
OptaPy is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference Scheduling, Job Shop Scheduling, Bin Packing and many more planning problems.
Python solutions to Codeforces problems
CodeForces This repository is dedicated to my Python solutions for CodeForces problems. Feel free to copy, contribute and/or comment. If you find any
RAMA: Rapid algorithm for multicut problem
RAMA: Rapid algorithm for multicut problem Solves multicut (correlation clustering) problems orders of magnitude faster than CPU based solvers without
Code for the paper "Reinforcement Learning as One Big Sequence Modeling Problem"
Trajectory Transformer Code release for Reinforcement Learning as One Big Sequence Modeling Problem. Installation All python dependencies are in envir
MWPToolkit is a PyTorch-based toolkit for Math Word Problem (MWP) solving.
MWPToolkit is a PyTorch-based toolkit for Math Word Problem (MWP) solving. It is a comprehensive framework for research purpose that integrates popular MWP benchmark datasets and typical deep learning-based MWP algorithms.
Data and Code for ACL 2021 Paper "Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning"
Introduction Code and data for ACL 2021 Paper "Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning". We cons
We propose a new method for effective shadow removal by regarding it as an exposure fusion problem.
Auto-exposure fusion for single-image shadow removal We propose a new method for effective shadow removal by regarding it as an exposure fusion proble
Greedy Algorithm-Problem Solving
MAX-MIN-Hackrrank-Python-Solution Greedy Algorithm-Problem Solving You will be given a list of integers, , and a single integer . You must create an a
Simple streamlit app to demonstrate HERE Tour Planning
Table of Contents About the Project Built With Getting Started Prerequisites Installation Usage Roadmap Contributing License Acknowledgements About Th