622 Repositories
Python Genetic-Algorithm-for-Assignment-Problem Libraries
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
Python Computer Vision from Scratch
This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.
An image processing project uses Viola-jones technique to detect faces and then use SIFT algorithm for recognition.
Attendance_System An image processing project uses Viola-jones technique to detect faces and then use LPB algorithm for recognition. Face Detection Us
This repository explores an implementation of Grover's Algorithm for knights on a chessboard.
Grover Knights Welcome to my Knights project! Project Description: I explore an implementation of a quantum oracle for knights on a chessboard.
This project is an Algorithm Visualizer where a user can visualize algorithms like Bubble Sort, Merge Sort, Quick Sort, Selection Sort, Linear Search and Binary Search.
Algo_Visualizer This project is an Algorithm Visualizer where a user can visualize common algorithms like "Bubble Sort", "Merge Sort", "Quick Sort", "
High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm
LA-MCTS The code is based of paper Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search. Component LA-MCTS has thr
This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm and CNN.
Vietnamese sign lagnuage recognition using MHI and CNN This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm
Fully Adaptive Bayesian Algorithm for Data Analysis (FABADA) is a new approach of noise reduction methods. In this repository is shown the package developed for this new method based on \citepaper.
Fully Adaptive Bayesian Algorithm for Data Analysis FABADA FABADA is a novel non-parametric noise reduction technique which arise from the point of vi
Sorting-Algorithms - All information about sorting algorithm you need and you can visualize the code tracer
Sorting-Algorithms - All information about sorting algorithm you need and you can visualize the code tracer
Algorithmic Multi-Instrumental MIDI Continuation Implementation
Matchmaker Algorithmic Multi-Instrumental MIDI Continuation Implementation Taming large-scale MIDI datasets with algorithms This is a WIP so please ch
Classic algorithms including Fizz Buzz, Bubble Sort, the Fibonacci Sequence, a Sudoku solver, and more.
Algorithms Classic algorithms including Fizz Buzz, Bubble Sort, the Fibonacci Sequence, a Sudoku solver, and more. Algorithm Complexity Time and Space
This is a demo for AAD algorithm.
Asynchronous-Anisotropic-Diffusion-Algorithm This is a demo for AAD algorithm. The subroutine of the anisotropic diffusion algorithm is modified from
RL Algorithms with examples in Python / Pytorch / Unity ML agents
Reinforcement Learning Project This project was created to make it easier to get started with Reinforcement Learning. It now contains: An implementati
A car learns to drive in a small 2D environment using the NEAT-Algorithm with Pygame
Self-driving-car-with-Pygame A car learns to drive in a small 2D environment using the NEAT-Algorithm with Pygame Description A car has 5 sensors ("ey
Solutions to the language assignment for Internship in JALA Technologies.
Python Assignment Solutions (JALA Technologies) Solutions to the language assignment for Internship in JALA Technologies. Features Properly formatted
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
Construção de um jogo Dominó na linguagem python com base em algoritmos personalizados.
Domino (projecto-python) Construção de um jogo Dominó na linguaguem python com base em algoritmos personalizados e na: Monografia apresentada ao curso
Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver
Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver, the wheel size, gear shifting sequence by modeling drivetrain constraints to achieve maximum laps in a race with a 2-hour time window.
An algorithm that can solve the word puzzle Wordle with an optimal number of guesses on HARD mode.
WordleSolver An algorithm that can solve the word puzzle Wordle with an optimal number of guesses on HARD mode. How to use the program Copy this proje
Python implementation of MULTIseq barcode alignment using fuzzy string matching and GMM barcode assignment
Python implementation of MULTIseq barcode alignment using fuzzy string matching and GMM barcode assignment.
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
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.
Active Transport Analytics Model: A new strategic transport modelling and data visualization framework
{ATAM} Active Transport Analytics Model Active Transport Analytics Model (“ATAM”
Ejemplo Algoritmo Viterbi - Example of a Viterbi algorithm applied to a hidden Markov model on DNA sequence
Ejemplo Algoritmo Viterbi Ejemplo de un algoritmo Viterbi aplicado a modelo ocul
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
Given a list of tickers, this algorithm generates a recommended portfolio for high-risk investors.
RiskyPortfolioGenerator Given a list of tickers, this algorithm generates a recommended portfolio for high-risk investors. Working in a group, we crea
An NUS timetable generator which uses a genetic algorithm to optimise timetables to suit the needs of NUS students.
A timetable optimiser for NUS which uses an evolutionary algorithm to "breed" a timetable suited to your needs.
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
🙄 Difficult algorithm, Simple code.
🎉TensorFlow2.0-Examples🎉! "Talk is cheap, show me the code." ----- Linus Torvalds Created by YunYang1994 This tutorial was designed for easily divin
Python port of R's Comprehensive Dynamic Time Warp algorithm package
Welcome to the dtw-python package Comprehensive implementation of Dynamic Time Warping algorithms. DTW is a family of algorithms which compute the loc
Where-Got-Time - An NUS timetable generator which uses a genetic algorithm to optimise timetables to suit the needs of NUS students
Where Got Time(table)? A timetable optimsier which uses an evolutionary algorith
This is my implementation on the K-nearest neighbors algorithm from scratch using Python
K Nearest Neighbors (KNN) algorithm In this Machine Learning world, there are various algorithms designed for classification problems such as Logistic
Medical appointments No-Show classifier
Medical Appointments No-shows Why do 20% of patients miss their scheduled appointments? A person makes a doctor appointment, receives all the instruct
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 python visualization of the A* path finding algorithm
A python visualization of the A* path finding algorithm. It allows you to pick your start, end location and make obstacles and then view the process of finding the shortest path. You can also choose to include or exclude diagonal movement.
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
Add any Program in any language you like or add a hello world Program ❣️ if you like give us :star:
Welcome to the Hacktoberfest 2018 Hello-world 📋 This Project aims to help you to get started with using Github. You can find a tutorial here What is
Open-source implementation of Google Vizier for hyper parameters tuning
Advisor Introduction Advisor is the hyper parameters tuning system for black box optimization. It is the open-source implementation of Google Vizier w
This project hosts the code for implementing the ISAL algorithm for object detection and image classification
Influence Selection for Active Learning (ISAL) This project hosts the code for implementing the ISAL algorithm for object detection and image classifi
An implementation of the BADGE batch active learning algorithm.
Batch Active learning by Diverse Gradient Embeddings (BADGE) An implementation of the BADGE batch active learning algorithm. Details are provided in o
Creating a Linear Program Solver by Implementing the Simplex Method in Python with NumPy
Creating a Linear Program Solver by Implementing the Simplex Method in Python with NumPy Simplex Algorithm is a popular algorithm for linear programmi
Simulate genealogical trees and genomic sequence data using population genetic models
msprime msprime is a population genetics simulator based on tskit. Msprime can simulate random ancestral histories for a sample of individuals (consis
Python Interactive Graphical System made during Computer Graphics classes (INE5420-2021.1)
PY-IGS - The PYthon Interactive Graphical System The PY-IGS Installation To install this software you will need these dependencies (with their thevelo
SnailJumper - A game that is developed as an assignment for Computer Intelligence course
Snail jumper Neuroevolution game assignment. Fall 2021 - Computer Intelligence.
ColoringMapAlgorithm-CSP- - Graphical Coloring of Countries with Condition Satisfaction Algorithm
ColoringMapAlgorithm-CSP- Condition Satisfaction Algorithm Output Condition
Pyrdle - Play Wordle in the CLI. Write an algorithm to play Wordle for you. Ruin all of the fun you've been having
Pyrdle - Play Wordle in the CLI. Write an algorithm to play Wordle for you. Ruin all of the fun you've been having
Algorithms written in different programming languages
Data Structures and Algorithms Clean example implementations of data structures and algorithms written in different languages. List of implementations
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
This is my personal version of Pac-Man using python, which is the first assignment of EA Software Engineering Virtual Experience Program from Forage.com
Vac-Man in Python This is my personal version of Vax-man game using python, which is the first task of EA Software Engineering Virtual Experience Prog
Easy genetic ancestry predictions in Python
ezancestry Easily visualize your direct-to-consumer genetics next to 2500+ samples from the 1000 genomes project. Evaluate the performance of a custom
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.
Python algorithm to determine the optimal elevation threshold of a GNSS receiver, by using a statistical test known as the Brown-Forsynthe test.
Levene and Brown-Forsynthe: Test for variances Application to Global Navigation Satellite Systems (GNSS) Python algorithm to determine the optimal ele
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
Image Segmentation with U-Net Algorithm on Carvana Dataset using AWS Sagemaker
Image Segmentation with U-Net Algorithm on Carvana Dataset using AWS Sagemaker This is a full project of image segmentation using the model built with
Implementation of Deep Deterministic Policy Gradiet Algorithm in Tensorflow
ddpg-aigym Deep Deterministic Policy Gradient Implementation of Deep Deterministic Policy Gradiet Algorithm (Lillicrap et al.arXiv:1509.02971.) in Ten
ML-PersonalWork - Big assignment PersonalWork in Machine Learning, 2021 autumn BUAA.
ML-PersonalWork - Big assignment PersonalWork in Machine Learning, 2021 autumn BUAA.
A video scene detection algorithm is designed to detect a variety of different scenes within a video
Scene-Change-Detection - A video scene detection algorithm is designed to detect a variety of different scenes within a video. There is a very simple definition for a scene: It is a series of logically and chronologically related shots taken in a specific order to depict an over-arching concept or story.
SuperMario - Python programming class ending assignment SuperMario, using pygame
SuperMario - Python programming class ending assignment SuperMario, using pygame
Recursive-Bucket-Sort - An efficient sorting algorithm (implemented in Python) inspired by the Bucket Sort and the Pigeonhole Sort
Recursive Bucket Sorting Algorithm An algorithm (implemented here in Python) mai
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
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
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.
Awesome Graph Classification - A collection of important graph embedding, classification and representation learning papers with implementations.
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers
Pywonderland - A tour in the wonderland of math with python.
A Tour in the Wonderland of Math with Python A collection of python scripts for drawing beautiful figures and animating interesting algorithms in math
Coursera - Quiz & Assignment of Coursera
Coursera Assignments This repository is aimed to help Coursera learners who have difficulties in their learning process. The quiz and programming home
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai
Coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models
Hyperparameter Optimization of Machine Learning Algorithms This code provides a hyper-parameter optimization implementation for machine learning algor
Detectron2-FC a fast construction platform of neural network algorithm based on detectron2
What is Detectron2-FC Detectron2-FC a fast construction platform of neural network algorithm based on detectron2. We have been working hard in two dir
Numerical-computing-is-fun - Learning numerical computing with notebooks for all ages.
As much as this series is to educate aspiring computer programmers and data scientists of all ages and all backgrounds, it is also a reminder to mysel
A Tensorflow implementation of CapsNet based on Geoffrey Hinton's paper Dynamic Routing Between Capsules
CapsNet-Tensorflow A Tensorflow implementation of CapsNet based on Geoffrey Hinton's paper Dynamic Routing Between Capsules Notes: The current version
PickMush - A mini study/project on boosting algorithm
PickMush A mini project implementing Boosting Author Shashwat Vaibhav What does it do? Classifies whether Mushroom is edible or is non-edible (binary
Multi agent DDPG algorithm written in Python + Pytorch
Multi agent DDPG algorithm written in Python + Pytorch. It also includes a Jupyter notebook, Tennis.ipynb, as a showcase.
The-Secret-Sharing-Schemes - This interactive script demonstrates the Secret Sharing Schemes algorithm
The-Secret-Sharing-Schemes This interactive script demonstrates the Secret Shari
Apriori - An algorithm for frequent item set mining and association rule learning over relational databases
Apriori Apriori is an algorithm for frequent item set mining and association rul
Image-Stitching - Panorama composition using SIFT Features and a custom implementaion of RANSAC algorithm
About The Project Panorama composition using SIFT Features and a custom implementaion of RANSAC algorithm (Random Sample Consensus). Author: Andreas P
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning
This repository contains source code for the experiments in a paper titled Semi-Supervised Learning with Ladder Networks by A Rasmus, H Valpola, M Hon
Python implementation of Aho-Corasick algorithm for string searching
Python implementation of Aho-Corasick algorithm for string searching
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Introduction QRec is a Python framework for recommender systems (Supported by Python 3.7.4 and Tensorflow 1.14+) in which a number of influential and
In this work, we will implement some basic but important algorithm of machine learning step by step.
WoRkS continued English 中文 Français Probability Density Estimation-Non-Parametric Methods(概率密度估计-非参数方法) 1. Kernel / k-Nearest Neighborhood Density Est
This is an Airport Scheduling Time table implemented using Genetic Algorithm
This is an Airport Scheduling Time table implemented using Genetic Algorithm In this The scheduling is performed on the basisi of that no two Air planes are arriving or departing at the same runway at the same time and day there are total of 4 Airplanes 3 and 3 Runways.
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
Python scripts aim to use a Random Forest machine learning algorithm to predict the water affinity of Metal-Organic Frameworks
The following Python scripts aim to use a Random Forest machine learning algorithm to predict the water affinity of Metal-Organic Frameworks (MOFs). The training set is extracted from the Cambridge Structural Database and the CoRE_MOF 2019 dataset.
gcrypter: an encryption algorithm based on bytes and their correspondent numbers to encode strings
gcrypter: an encryption algorithm based on bytes and their correspondent numbers to encode strings
Tic-tac-toe with minmax algorithm.
Tic-tac-toe Tic-tac-toe game with minmax algorithm which is a research algorithm his objective is to find the best move to play by going through all t
Exam assignment for Laboratory of Bioinformatics 2
Exam assignment for Laboratory of Bioinformatics 2 (Alma Mater University of Bologna, Master in Bioinformatics)
QI-Q RoboMaster2022 CV Algorithm
QI-Q RoboMaster2022 CV Algorithm
FingerPy is a algorithm to measure, analyse and monitor heart-beat using only a video of the user's finger on a mobile cellphone camera.
FingerPy is a algorithm using python, scipy and fft to measure, analyse and monitor heart-beat using only a video of the user's finger on a m
Slight modification to one of the Facebook Salina examples, to test the A2C algorithm on financial series.
Facebook Salina - Gym_AnyTrading Slight modification of Facebook Salina Reinforcement Learning - A2C GPU example for financial series. The gym FOREX d
Data Model built using Logistic Regression Algorithm on Python.
Logistic-Regression Problem Statement: Your client is a retail banking institution. Term deposits are a major source of income for a bank. A term depo
Driver Drowsiness Detection with OpenCV & Dlib
In this project, we have built a driver drowsiness detection system that will detect if the eyes of the driver are close for too long and infer if the driver is sleepy or inactive.
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
This is a repository for a web application developed with Django, built with Crowdbotics
assignment_32558 This is a repository for a web application developed with Django, built with Crowdbotics Table of Contents Project Structure Features
Qt-GUI implementation of the YOLOv5 algorithm (ver.6 and ver.5)
YOLOv5-GUI 🎉 YOLOv5算法(ver.6及ver.5)的Qt-GUI实现 🎉 Qt-GUI implementation of the YOLOv5 algorithm (ver.6 and ver.5). 基于YOLOv5的v5版本和v6版本及Javacr大佬的UI逻辑进行编写