Python 40-Algorithms-Every-Programmer-Should-Know Resources

🕹 Eight Puzzle CLI Jogo do quebra-cabeças de 8 peças em linha de comando desenvolvido para a disciplina de Inteligência Artificial. Escrito em python

Jesse Jesse is an advanced crypto trading framework which aims to simplify researching and defining trading strategies. Why Jesse? In short, Jesse is

CogniPy for Pandas - In-memory Graph Database and Knowledge Graph with Natural Language Interface Whats in the box Reasoning, exploration of RDF/OWL,

Discord status insult changer Change the discord status throught websocket every 5 seconds with an insult! - pip install httpx - put your tokens in "t

Digdata presented 'BrandX' as a clothing brand that wants to know the best places to set up a 'pop up' store. I used the dataset given to write a program that ranks these places.

In this repository, I made an amazing app with tkinter python language and other libraries the idea of this app is to use algorithms to find the root of the equation I used three methods from numerical analysis method that find the root and I made property draw function that draws almost any equation

ImageCompressionSimulation An Image compression simulator that uses Source Extractor and Monte Carlo methods to examine the post compressive effects o

VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks. VMAgent is constructed based on one month r

Machine Learning Algorithms Machine Learning algorithms implementation. What can I find here? ML Algorithms KNN K-Means-Clustering SVM (MultiClass) Pe

No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.

Status: Under development (expect bug fixes and huge updates) ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectiv

Scene Text Recognition Recommendations Everythin about Scene Text Recognition SOTA • Papers • Datasets • Code Contents 1. Papers 2. Datasets 2.1 Synth

Torch-template-for-deep-learning Pytorch implementations of some **classical backbone CNNs, data enhancement, torch loss, attention, visualization and

Algoritmos e Introdução à Computação Ementa: Conceitos básicos sobre algoritmos e métodos para sua construção. Tipos de dados e variáveis. Estruturas

PyTorch RL Minimal Implementations There are implementations of some reinforcement learning algorithms, whose characteristics are as follow: Less pack

Status: Under development (expect bug fixes and huge updates) ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectiv

🎄 Advent of Code 2021 🎄 Summary Advent of Code is an annual Advent calendar of programming puzzles. This year I am doing it in Go and Python. Runnin

Authors: Utkarsh A. Mishra and Dr. Dimitar Stanev Advisors: Dr. Dimitar Stanev and Prof. Auke Ijspeert, Biorobotics Laboratory (BioRob), EPFL Video Pl

AI Fairness 360 (AIF360) The AI Fairness 360 toolkit is an extensible open-source library containg techniques developed by the research community to h

ImageCrypt Project description Installation Usage Project description Project AlexGyver on Python by TheK4n Design by Пашушка Byte packing in decimal

Pandas TA - A Technical Analysis Library in Python 3 Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas package

Contra AI Engine A lightweight, production ready Tensorflow alternative developed by Styvio styvio.com » How to Use · Report Bug · Request Feature Tab

Overview This repository implemented some common motion planners used on autonomous vehicles, including Hybrid A* Planner Frenet Optimal Trajectory Hi

Sudoku sudoku solver using CSP forward-tracking algorithms. Description Sudoku is a logic-based game that consists of 9 3x3 grids that create one larg

NuPIC Core This repository contains the C++ source code for the Numenta Platform for Intelligent Computing (NuPIC)

GDSC UIET KUK 📍 , welcomes you all to this amazing event where you will be introduced to the world of coding 💻 .

ReCirq Research using Cirq! This project contains modules for running quantum computing applications and experiments through Cirq and Quantum Engine.

Sort and search algorithms This repository has some common search / sort algorithms written in python, I also included the pseudocode of each algorith

bitlist Minimal Python library for working with bit vectors natively. Purpose This library allows programmers to work with a native representation of

Algorithm and Data Structures Interview Questions HackerRank | Practice, Tutorials & Interview Preparation Solutions This repository consists of solut

Learn to Code It is an intiiative undertaken by Student Ambassadors Club, Jamshoro for students who are absolute begineers in programming and want to

Learning to Segment Every Thing This repository contains the code for the following paper: R. Hu, P. Dollár, K. He, T. Darrell, R. Girshick, Learning

Convenient script for trading with python.

decentralized-gnn A package for implementing and simulating decentralized Graph Neural Network algorithms for classification of peer-to-peer nodes. De

Visualisation for sorting algorithms v2. Upped a notch from version 1. This program provides animates simple, common and popular sorting algorithms, t

Algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex)

Cutting Stock Problem Cutting Stock Problem (CSP) deals with planning the cutting of items (rods / sheets) from given stock items (which are usually o

MatrixProfile MatrixProfile is a Python 3 library, brought to you by the Matrix Profile Foundation, for mining time series data. The Matrix Profile is

Short Text Mining in Python Introduction This package shorttext is a Python package that facilitates supervised and unsupervised learning for short te

SRCCommentsAutoDeleter Will load an SRC page, logged in with a support browser's cookies, and delete all comments from every run Config is all done in

chia-Notify-with-Line 警示程式 It's an .exe file that can notify your chia profit and warning message every time automatically. 這是我自行設計的小程式，有轉成.exe檔了，可以在沒

Unbiased Learning to Rank Algorithms (ULTRA) This is an Unbiased Learning To Rank Algorithms (ULTRA) toolbox, which provides a codebase for experiment

PathPlanningAlgorithms It is a platform that implements some path planning algorithms. Main dependence: python3.7, opencv4.1.1.26 (for image show) Tip

awesome-causality-algorithms An index of algorithms for learning causality with data. Please cite our survey paper if this index is helpful. @article{

Calculator 🖩 A simple calculator written in python allows you to make simple calculations, write charts, calculate the dates, and exchange currency.

Accommodating supervised learning algorithms for the historical prices of the world's favorite cryptocurrency and boosting it through LightGBM.

RSL RL Fast and simple implementation of RL algorithms, designed to run fully on GPU. This code is an evolution of rl-pytorch provided with NVIDIA's I

Intel(R) Extension for Scikit-learn* Installation | Documentation | Examples | Support | FAQ With Intel(R) Extension for Scikit-learn you can accelera

ApproxMVBB Status Build UnitTests Homepage Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in

ICCVW21-TradiCV-Survey-of-LiDAR-Cluster Motivation In contrast to popular end-to-end deep learning LiDAR panoptic segmentation solutions, we propose a

Self Supervised Learning with Fastai Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks. Install pip install self-

moporgic/TDL2048+ TDL2048+ is a highly optimized temporal difference (TD) learning framework for 2048. Features Many common methods related to 2048 ar

cleanlab is the data-centric ML ops package for machine learning with noisy labels. cleanlab cleans labels and supports finding, quantifying, and lear

Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis. It is distributed under the MIT License.

forest-confidence-interval: Confidence intervals for Forest algorithms Forest algorithms are powerful ensemble methods for classification and regressi

A repository to compare many popular NAS algorithms seamlessly across three popular benchmarks (NASBench 101, 201, and 301). You can implement your ow

pybullet-planning (previously ss-pybullet) A repository of PyBullet utility functions for robotic motion planning, manipulation planning, and task and

YT_dislikes is a twitter bot that allows you to know the number of dislikes (and likes) of a YouTube video. Now it is not possible to see the number o

music-recommender-rest-api A music recommendation REST API which makes a machine learning algorithm work with the Django REST Framework How it works T

Diabetes Disease Prediction This is a machine Learning mode which tries to determine if a person has a diabetes or not. Data The dataset is in comma s

Python Mandelbrot A simple python script that print the Mandelbrot set for every power of the formal formula.

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

kyle's datadog python vision/proposal not for production use See examples/comprehensive.py for a mostly working example of the proposed API. 📈 🐶 ❤️

Discord Mass DM Scrapes users from a discord server to promote/mass dm Report Bug · Request Feature Features Asynchronous Easy to use Free Auto scrape

ByteTrack-ONNX-Sample ByteTrack(Multi-Object Tracking by Associating Every Detection Box)のPythonでのONNX推論サンプルです。 ONNXに変換したモデルも同梱しています。 変換自体を試したい方はByteT

Differential_Privacy_CPS Python implementation of the research paper Leveraging Unique CPS Properties to Design Better Privacy-Enhancing Algorithms Re

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, you probably know that you can work with iAWE hdf5 data file in NILM-TK.

A place to post ideas, partial projects, or anything else that doesn't necessarily warrant its own repo, from my mind to the web.

Visualization of numerical optimization algorithms

CleanRL (Clean Implementation of RL Algorithms) CleanRL is a Deep Reinforcement Learning library that provides high-quality single-file implementation

orqviz A Python package for easily visualizing the loss landscape of Variational Quantum Algorithms by Zapata Computing Inc. orqviz provides a collect

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

Squeaker Like Docker, but for Smalltalk images. You know, for kids. It's a small program that helps in automated derivation of configured Smalltalk im

Keras-GAN-Animeface-Character GAN example for Keras. Cuz MNIST is too small and there should an example on something more realistic. Some results Trai

metric-learn: Metric Learning in Python metric-learn contains efficient Python implementations of several popular supervised and weakly-supervised met

HDBSCAN HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications with Noise. Performs DBSCAN over varying epsilon values and integrates

pyclustering is a Python, C++ data mining library (clustering algorithm, oscillatory networks, neural networks). The library provides Python and C++ implementations (C++ pyclustering library) of each algorithm or model. C++ pyclustering library is a part of pyclustering and supported for Linux, Windows and MacOS operating systems.

FCPS Fundamental Clustering Problems Suite The package provides over sixty state-of-the-art clustering algorithms for unsupervised machine learning pu

GENDIS GENetic DIscovery of Shapelets In the time series classification domain, shapelets are small subseries that are discriminative for a certain cl

Machine learning algorithms implementation This repository consisits of implementation of various machine learning algorithms. The algorithms implemen

Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets Datasets Used: Iris dataset,

Introduction MASS allows you to search a time series for a subquery resulting in an array of distances. These array of distances enable you to identif

Eiten - Algorithmic Investing Strategies for Everyone Eiten is an open source toolkit by Tradytics that implements various statistical and algorithmic

NNI Doc | 简体中文 NNI (Neural Network Intelligence) is a lightweight but powerful toolkit to help users automate Feature Engineering, Neural Architecture

Evol is clear dsl for composable evolutionary algorithms that optimised for joy. Installation We currently support python3.6 and python3.7 and you can

onelearn: Online learning in Python Documentation | Reproduce experiments | onelearn stands for ONE-shot LEARNning. It is a small python package for o

gqueue gqueue is a CLI (command line interface) tool that computes carbon footprint of HPC computations on clusters running slurm. It follows the meth

TorchSeg This project aims at providing a fast, modular reference implementation for semantic segmentation models using PyTorch. Highlights Modular De

Federated Learning with Non-IID Data This is an implementation of the following paper: Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vik

Weather Bot Besac Weather_besac is a French twitter bot that tweet the weather of the city of Besançon in Franche-Comté in France every day at 8am and

GOAT A paper using optimal transport to solve the graph matching problem. https://arxiv.org/abs/2111.05366 Repo structure .github: Files specifying ho

My Dynamic Programming Algorithms giraycoskun [email protected] It is a repo for various dynamic programming algorithms for exercise.

Linux-Tools List of Linux Tools I put on almost every Linux / Debian host Installed: geany -- GUI editor/ notepad++ like chkservice -- TUI Linux ser

Distribution System Model Calibration Algorithms The code in this library was developed by Sandia National Laboratories under funding provided by the

Every 15 Minutes is an application that is used to Notify you to Relax your eyes Every 15 Minutes, This is fully made with Python and also with the us

Parameterising Simulated Annealing for the Travelling Salesman Problem

ChairBot is designed to be reliable, easy to use, and lightweight for every user, and easliy to code add-ons for ChairBot. Ready to see whats possible with ChairBot?

Quiet Riot 🎶 C'mon, Feel The Noise 🎶 An enumeration tool for scalable, unauthenticated validation of AWS principals; including AWS Acccount IDs, roo

UAV-Networks Simulator - Autonomous Networking - A.A. 20/21 UAV-Networks-Routing is a Python simulator for experimenting routing algorithms and mac pr

Parameterising Simulated Annealing for the Travelling Salesman Problem Abstract The Travelling Salesman Problem is a well known NP-Hard problem. Given