530 Repositories

### Python load-balancing-algorithm Libraries

##### I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

Python Decision Tree and Random Forest Decision Tree A Decision Tree is one of the popular and powerful machine learning algorithms that I have learne

##### Implementation of RITA (Real Intelligence Threat Analytics) in Jupyter Notebook with improved scoring algorithm.

RITA (Real Intelligence Threat Analytics) in Jupyter Notebook RITA is an open source framework for network traffic analysis sponsored by Active Counte

##### An excellent hash algorithm combining classical sponge structure and RNN.

SHA-RNN Recurrent Neural Network with Chaotic System for Hash Functions Anonymous Authors [摘要] 在这次作业中我们提出了一种新的 Hash Function —— SHA-RNN。其以海绵结构为基础，融合了混

##### A Lighting Pytorch Framework for Recommendation System, Easy-to-use and Easy-to-extend.

Torch-RecHub A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend. 安装 pip install torch-rechub 主要特性 scikit-learn风格易用

##### Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source algorithm capable of fully capturing the impact of data drift on performance.

Website • Docs • Community Slack 💡 What is NannyML? NannyML is an open-source python library that allows you to estimate post-deployment model perfor

##### A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:

Squirrel Core Share, load, and transform data in a collaborative, flexible, and efficient way What is Squirrel? Squirrel is a Python library that enab

##### A fast hierarchical dimensionality reduction algorithm.

h-NNE: Hierarchical Nearest Neighbor Embedding A fast hierarchical dimensionality reduction algorithm. h-NNE is a general purpose dimensionality reduc

##### Scalable Optical Flow-based Image Montaging and Alignment

SOFIMA SOFIMA (Scalable Optical Flow-based Image Montaging and Alignment) is a tool for stitching, aligning and warping large 2d, 3d and 4d microscopy

##### An official repository for tutorials of Probabilistic Modelling and Reasoning (2021/2022) - a University of Edinburgh master's course.

PMR computer tutorials on HMMs (2021-2022) This is a repository for computer tutorials of Probabilistic Modelling and Reasoning (2021/2022) - a Univer

##### Materials to reproduce our findings in our stories, "Amazon Puts Its Own 'Brands' First Above Better-Rated Products" and "When Amazon Takes the Buy Box, it Doesn’t Give it up"

Amazon Brands and Exclusives This repository contains code to reproduce the findings featured in our story "Amazon Puts Its Own 'Brands' First Above B

##### Make your first PR. A beginner friendly repository made specifically for open source beginners. Add any program under any language (it can be anything from a simple program to a complex data structure algorithm). Happy coding...

Hacktober Fest 2021 Upload Different Types of Programs in any Language Use this project to make your first contribution to an open source project on G

##### Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process

Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process, a complete algorithm library is established, which is named opensa (openspectrum analysis).

##### 🏃 Python3 Solutions of All Problems in GCJ 2022 (In Progress)

GoogleCodeJam 2022 Python3 solutions of Google Code Jam 2022. Solution begins with * means it will get TLE in the largest data set. Total computation

##### scAR (single-cell Ambient Remover) is a package for data denoising in single-cell omics.

scAR scAR (single cell Ambient Remover) is a package for denoising multiple single cell omics data. It can be used for multiple tasks, such as, sgRNA

##### In this project, RandomOverSampler and SMOTE algorithms were used to perform oversampling, ClusterCentroids algorithm was used to undersampling, SMOTEENN algorithm was applied as a combinatorial approach of over- and undersampling of credit card credit dataset from LendingClub. Machine learning models - BalancedRandomForestClassifier and EasyEnsembleClassifier were used to predict credit risk.

Overview of Credit Card Analysis In this project, RandomOverSampler and SMOTE algorithms were used to perform oversampling, ClusterCentroids algorithm

##### 🏃 Python3 Solutions of All Problems in GKS 2022 (In Progress)

GoogleKickStart 2022 Python3 solutions of Google Kick Start 2022. Solution begins with * means it will get TLE in the largest data set. Total computat

##### API for RL algorithm design & testing of BCA (Building Control Agent) HVAC on EnergyPlus building energy simulator by wrapping their EMS Python API

RL - EmsPy (work In Progress...) The EmsPy Python package was made to facilitate Reinforcement Learning (RL) algorithm research for developing and tes

##### Self-driving car env with PPO algorithm from stable baseline3

Self-driving car with RL stable baseline3 Most of the project develop from https://github.com/GerardMaggiolino/Gym-Medium-Post Please check it out! Th

##### Hl classification bc - A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality

A Network-Based High-Level Data Classification Algorithm Using Betweenness Centr

##### SelectionSortVisualization - This pygame project is helping you to understand the selection sorting algorithm

SelectionSortVisualization (If you have any comments or suggestion, please conta

##### Kroomsa: A search engine for the curious

Kroomsa A search engine for the curious. It is a search algorithm designed to en

##### OS Algo Visualization - Operating system algorithm visualization using python pygame library

OS_Algo_Visualization Operating system algorithm visualization using python pyga

##### Product-based-recommendation-system - A product based recommendation system which uses Machine learning algorithm such as KNN and cosine similarity

Product-based-recommendation-system A product based recommendation system which

##### Connect-4-AI - AI that plays Connect-4 using the minimax algorithm

Connect-4-AI Brief overview I coded up the Connect-4 (or four-in-a-row) game in

##### DCA - Official Python implementation of Delaunay Component Analysis algorithm

Delaunay Component Analysis (DCA) Official Python implementation of the Delaunay

##### B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search

B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search This is the offical implementation of the

##### Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration

This repo is for the paper: Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration The DAC environment is based on the Dynam

##### Pathfinding algorithm based on A*

Pathfinding V1 What is pathfindingV1 ? This program is my very first path finding program, using python and turtle for graphic rendering. How is it wo

##### Primedice like provably fair algorithm

Primedice like provably fair algorithm

##### Julia package for contraction of tensor networks, based on the sweep line algorithm outlined in the paper General tensor network decoding of 2D Pauli codes

Julia package for contraction of tensor networks, based on the sweep line algorithm outlined in the paper General tensor network decoding of 2D Pauli codes

##### PICO is an algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks.

PICO is an algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks. It is developed by the Multi-Agent Artificial Intel

##### PyTorch Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning"

PyTorch Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning".

##### Implementation of linesearch Optimization Algorithms in Python

Nonlinear Optimization Algorithms During my time as Scientific Assistant at the Karlsruhe Institute of Technology (Germany) I implemented various Opti

##### CLASSIX is a fast and explainable clustering algorithm based on sorting

CLASSIX Fast and explainable clustering based on sorting CLASSIX is a fast and explainable clustering algorithm based on sorting. Here are a few highl

##### Load Testing ML Microservices for Robustness and Scalability

The demo is aimed at getting started with load testing a microservice before taking it to production. We use FastAPI microservice (to predict weather) and Locust to load test the service (locally or on cloud). You can find detailed instructions in the Engineering MLOps book.

##### obj-encrypt is an encryption library based on the AES-256 algorithm.

obj-encrypt is an encryption library based on the AES-256 algorithm. It uses Python objects as the basic unit, which can convert objects into binary ciphertext and support decryption. Objects encrypted with obj-encrypt support TCP communication, database storage, and more.

##### FLIght SCheduling OPTimization - a simple optimization library for flight scheduling and related problems in the discrete domain

Fliscopt FLIght SCheduling OPTimization 🛫 or fliscopt is a simple optimization library for flight scheduling and related problems in the discrete dom

##### IADS 2021-22 Algorithm and Data structure collection

A collection of algorithms and datastructures introduced during UoE's Introduction to Datastructures and Algorithms class.

##### A simple and secure password-based encryption & decryption algorithm based on hash functions, implemented solely based on python.

pyhcrypt A simple and secure password-based encryption & decryption algorithm based on hash functions, implemented solely based on python. Usage Pytho

##### This repository contains algorithm and solver for the game WORDLE

Wordle-Cracker This repository contains algorithm and solver for the game WORDLE How to use Run the program: python main.py Type in the guess word in

##### Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information.

Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information.

##### 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

##### Nowadays we don't have time to listen to each and every song that we come across in a playlist.

Nowadays we don't have time to listen to each and every song that we come across in a playlist. so, this project helps you. we used Spotify API for collecting the dataset information and able to do EDA and used K- means clustering technique and created new playlists in Spotify again.

##### 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.

##### This application solves sudoku puzzles using a backtracking recursive algorithm

This application solves sudoku puzzles using a backtracking recursive algorithm. The user interface is coded with Pygame to allow users to easily input puzzles.

##### 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.

##### Algorithm and Structured Programming course project for the first semester of the Internet Systems course at IFPB

Algorithm and Structured Programming course project for the first semester of the Internet Systems course at IFPB

##### A solution designed to extract, transform and load Chicago crime data from an RDS instance to other services in AWS.

This project is intended to implement a solution designed to extract, transform and load Chicago crime data from an RDS instance to other services in AWS.

##### Bpe algorithm can finetune tokenizer - Bpe algorithm can finetune tokenizer

"# bpe_algorithm_can_finetune_tokenizer" this is an implyment for https://github

##### RRT algorithm and its optimization

RRT-Algorithm-Visualisation This is a project that aims to develop upon the RRT

##### A chess engine with basic AI capabilities (search for best move using MinMax algorithm)

A chess engine with basic AI capabilities (search for best move using MinMax algorithm)

##### A repository to work on Machine Learning course. Select an algorithm to classify writer's gender, of Hebrew texts.

MachineLearning A repository to work on Machine Learning course. Select an algorithm to classify writer's gender, of Hebrew texts. Tested algorithms:

##### TicTacToc - Simple TicTacToc game played by minimax algorithm

TicTacToc simple TicTacToc game played by minimax algorithm. This app is based o

##### Real Time Object Detection and Classification using Yolo Algorithm.

Real time Object detection & Classification using YOLO algorithm. Real Time Object Detection and Classification using Yolo Algorithm. What is Object D

##### Algorithm to solve Wordle correctly 100% of the time within 6 attempts.

WordleSolver © Zulkarnine, 2022. Algorithm to solve Wordle 100% of the time within 6 attempts. You can go ahead and run main.py to run it for all 2315

##### Silver Trading Algorithm

Silver Trading Algorithm This project was done in the context of the Applied Algorithm Trading Course (FINM 35910) at the University of Chicago. Motiv

##### This repository contains the code for TABS, a 3D CNN-Transformer hybrid automated brain tissue segmentation algorithm using T1w structural MRI scans

This repository contains the code for TABS, a 3D CNN-Transformer hybrid automated brain tissue segmentation algorithm using T1w structural MRI scans. TABS relies on a Res-Unet backbone, with a Vision Transformer embedded between the encoder and decoder layers.

##### Combinatorial model of ligand-receptor binding

Combinatorial model of ligand-receptor binding The binding of ligands to receptors is the starting point for many import signal pathways within a cell

##### The Python code for the paper A Hybrid Quantum-Classical Algorithm for Robust Fitting

About The Python code for the paper A Hybrid Quantum-Classical Algorithm for Robust Fitting The demo program was only tested under Conda in a standard

##### With this algorithm you can see all best positions for a Team.

Best Positions Imagine that you have a favorite team, and you want to know until wich position your team can reach With this algorithm you can see all

##### Our implementation of Gillespie's Stochastic Simulation Algorithm (SSA)

SSA Our implementation of Gillespie's Stochastic Simulation Algorithm (SSA) Requirements python =3.7 numpy pandas matplotlib pyyaml Command line usag

##### Voice Gender Recognition

In this project it was used some different Machine Learning models to identify the gender of a voice (Female or Male) based on some specific speech and voice attributes.

##### Dynamic vae - Dynamic VAE algorithm is used for anomaly detection of battery data

Dynamic VAE frame Automatic feature extraction can be achieved by probability di

##### A shimmer pre-load component for Plotly Dash

dash-loading-shimmer A shimmer pre-load component for Plotly Dash Installation Get it with pip: pip install dash-loading-extras Or maybe you prefer Pi

##### Application of K-means algorithm on a music dataset after a dimensionality reduction with PCA

PCA for dimensionality reduction combined with Kmeans Goal The Goal of this notebook is to apply a dimensionality reduction on a big dataset in order

##### DTCN IJCAI - Sequential prediction learning framework and algorithm

DTCN This is the implementation of our paper "Sequential Prediction of Social Me

##### This implements the learning and inference/proposal algorithm described in "Learning to Propose Objects, Krähenbühl and Koltun"

Learning to propose objects This implements the learning and inference/proposal algorithm described in "Learning to Propose Objects, Krähenbühl and Ko

##### A deep neural networks for images using CNN algorithm.

Example-CNN-Project This is a simple project showing how to implement deep neural networks using CNN algorithm. The dataset is taken from this link: h

##### DTCN SMP Challenge - Sequential prediction learning framework and algorithm

DTCN This is the implementation of our paper "Sequential Prediction of Social Me

##### The project's goal is to show a real world application of image segmentation using k means algorithm

The project's goal is to show a real world application of image segmentation using k means algorithm

##### BioPy is a collection (in-progress) of biologically-inspired algorithms written in Python

BioPy is a collection (in-progress) of biologically-inspired algorithms written in Python. Some of the algorithms included are mor

##### Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm

Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm

##### VampiresVsWerewolves - Our Implementation of a MiniMax algorithm with alpha beta pruning in the context of an in-class competition

VampiresVsWerewolves Our Implementation of a MiniMax algorithm with alpha beta pruning in the context of an in-class competition. Our Algorithm finish

##### dbd is a database prototyping tool that enables data analysts and engineers to quickly load and transform data in SQL databases.

dbd: database prototyping tool dbd is a database prototyping tool that enables data analysts and engineers to quickly load and transform data in SQL d

##### Implementing a simplified copy of Shazam application from scratch using MinHashing and LSH.

Building Shazam from scratch In this repository we tried to implement a simplified copy of the Shazam application able to tell you the name of a song

##### This Deep Learning Model Predicts that from which disease you are suffering.

Deep-Learning-Project This Deep Learning Model Predicts that from which disease you are suffering. This Project Covers the Topics of Deep Learning Int

##### Titanic Traveller Survivability Prediction

The aim of the mini project is predict whether or not a passenger survived based on attributes such as their age, sex, passenger class, where they embarked and more.

##### Wordle-solver - A program that solves a Wordle using a simple algorithm

Wordle Solver A program that solves a Wordle using a simple algorithm. To see it

##### 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

##### Load balancing DICOM router

dicom-loadbalancer Load balancing DICOM router (WORK IN PROGRESS) The DICOM loadbalancer provides functionality for acting as any number of DICOM SCPs

##### 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

##### Cl datasets - PyTorch image dataloaders and utility functions to load datasets for supervised continual learning

Continual learning datasets Introduction This repository contains PyTorch image

##### Additional code for Stable-baselines3 to load and upload models from the Hub.

Hugging Face x Stable-baselines3 A library to load and upload Stable-baselines3 models from the Hub. Installation With pip Examples [Todo: add colab t

##### 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

##### ioztat is a storage load analysis tool for OpenZFS

ioztat is a storage load analysis tool for OpenZFS. It provides iostat-like statistics at an individual dataset/zvol level.

##### 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

##### 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.