NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/kecnry/nparray
High-Level Wrappers for Building and Manipulating Numpy Arrays
Last synced: 08 Jan 2026
https://github.com/abdoomohamedd/python-data-analysis-projects
A collection of data analysis projects that I have worked on. Each project involves cleaning data, performing exploratory data analysis (EDA), and creating visualizations to extract insights. The projects utilize various Python libraries, including pandas, numpy, matp
data-analysis data-analysis-python data-cleaning data-visualization matplotlib matplotlib-pyplot numpy pandas python
Last synced: 01 May 2026
https://github.com/emmanueltobi/ai-academy-university
Code samples from the Intel Nervana AI Academy University held in FUTA
ai classification-algorithm dataset intel numpy regression regression-models sklearn
Last synced: 01 May 2026
https://github.com/sujitmandal/big-mart-sales
Big Mart Sales Prediction..
data-science numpy pandas prediction python statistics supervised-learning
Last synced: 01 May 2026
https://github.com/abideen-olawuwo/nyc-taxi
Prediction the duration of New York Taxi trip
linear-regression matplotlib numpy pandas python seaborn sklearn
Last synced: 11 Apr 2026
https://github.com/dhruvv1402/spam-detection-python-
This project is a Spam Detection System built using Python. It classifies SMS messages as spam or ham (not spam) using machine learning techniques.
countvectorizer kaggle-dataset nlp-machine-learning nltk numpy pandas python scikit-learn supervised-machine-learning tf-idf
Last synced: 01 May 2026
https://github.com/hariprasath-v/job-a-thon---may-2021
Exploratory Data Analysis
eda exploratory-data-analysis matplotlib missingno numpy pandas pandas-python plotnine
Last synced: 01 May 2026
https://github.com/laszlokorte/canny-notebook
Numpy Canny Edge detector implementation to visualize each step
canny-edge-detection image-processing jupyter-notebook numpy
Last synced: 02 May 2026
https://github.com/ducha-aiki/laf2ell
Utils for LAF to ellipse and back conversion. Also function for drawing LAFs.
ellipse laf local-features numpy visualization
Last synced: 02 May 2026
https://github.com/mgitrov/ann-from-scratch
An artificial neural network implemented from scratch using numpy only.
artificial-neural-networks deep-learning guide numpy
Last synced: 02 May 2026
https://github.com/lipskiyp/trading_dashboard
Pandas framework to analyze financial time-series and calculate various performance metrics (e.g. Sharpe Ratio and Max Drawdown Duration).
financial-analysis numpy pandas
Last synced: 02 May 2026
https://github.com/amishidesai04/emergency-calls-data-analysis-project
Welcome to the Emergency Calls Data Analysis project repository. This project is dedicated to extracting, processing, and visualizing data from the "Emergency β 911 Calls, Montgomery County" dataset, sourced from Kaggle. The main objective is to analyze trends in emergency calls in Montgomery County, Pennsylvania, spanning multiple years.
analysis data-analysis data-extraction data-processing data-science data-visualization numpy pandas python seaborn
Last synced: 02 May 2026
https://github.com/krook1024-uni-archive/kmeans
kmeans implementation for a university course
kmeans kmeans-clustering machine-learning numpy python
Last synced: 02 May 2026
https://github.com/m0saan/python-for-data-analysis
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney,
data-analysis data-science ipython-notebook machine-learning matplotlib numpy pandas python
Last synced: 02 May 2026
https://github.com/maroshmka/np-mlp-clf
Raw implementation of mlp classifier in python using numpy.
classification example-code learning machine-learning multilayer-perceptron neural-network numpy
Last synced: 14 May 2026
https://github.com/moonshallow5/food_vision_mini
A program which can detect if an image contains either a pizza, sushi or steak: Has now been deployed on Flutter :)
huggingface matplotlib numpy pytorch
Last synced: 09 May 2026
https://github.com/patilsukanya/assignment-06.-logistic-regression
Used libraries and functions as follows:
classifier concatination confusion-matrix eda linear-models logistic-regression logistic-regression-algorithm logit-model matplotlib-pyplot numpy one-hot-encoding pandas python roc-auc-score roc-curve seaborn
Last synced: 05 Oct 2025
https://github.com/gyselle-marques/sobel-filter
Machine Learning: Image Processing with Sobel Filter.
colab-notebook image-processing machine-learning matplotlib numpy opencv python sobel sobel-filter
Last synced: 24 Jun 2026
https://github.com/helenaden/data-science-fundamentals
This project delves into fundamental data science concepts using Python libraries like NumPy and Pandas
data-analysis datascience datasets datavisualization datawrangling heatmap numpy pandas patterns python
Last synced: 03 May 2026
https://github.com/mktechai-0786/data-analysis-on-dr-visits
Data Analysis On Dr. Visits dataset
data-analysis matplotlib-pyplot numpy pandas seaborn
Last synced: 09 May 2026
https://github.com/tromesh/attendance-predictor
Student Attendance predictor for Scheduling lecture sessions
matplotlib numpy pandas tensorflow
Last synced: 05 May 2026
https://github.com/subratamondal1/heart-attack-prediction
Heart Attack Prediction of patients based on the required data. Data Ingestion - Data Preparation - Exploratory Data Analysis (EDA) - Modelling - Evaluation.
data-analysis data-science data-visualization kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python3 scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/lupin3000/augmentedreality
Introduction into augmented reality (AR) with Python OpenCV ArUco markers.
aruco aruco-marker camera-calibration marker-detection numpy opencv pose-estimation python
Last synced: 13 Apr 2026
https://github.com/ebrahimar/ai-voice-cloner-xtts-v2
A Streamlit web app for AI-powered voice cloning using Coqui XTTS v2. Record or upload reference voices, clone speech in multiple languages, and generate natural audio outputs.
ai-voice coqui-tts deep-learning json multilingual-tts numpy pydub python speech-synthesis streamlit text-to-speech tts-model voice-cloning xtts-v2
Last synced: 03 May 2026
https://github.com/crispengari/numpy
π The core concept of numpy arrays
ai artificial-intelligence datascience jupyter-notebook machine-learning numpy python
Last synced: 03 May 2026
https://github.com/codeslash21/tmdb_data_analysis
We analysed TMDB dataset which contains around 11000 movies details. We analyzed to find some interesting facts about the dataset.
data-analysis data-visualization matplotlib nanodegree-project numpy pandas python tmdb-movie
Last synced: 03 May 2026
https://github.com/vinicius999/icu-beds-forecast-covid-19
PrediΓ§Γ£o da ocupaΓ§Γ£o de leitos de UTI no Brasil devido a pandemia do COVID-19, usando Support Vector Regression (SVR)
covid-19 matplotlib numpy pandas python sklearn support-vector-regression
Last synced: 03 May 2026
https://github.com/khaymanii/credit-card-fraud-detection-model
This model was built using python and Logistic Regression Machine Learning algorithm
matplotlib numpy pandas python sckit-learn
Last synced: 09 May 2026
https://github.com/danny-1k/nnpy
Neural network library written from scratch in numpy
deep-learning neural-networks-from-scratch numpy python
Last synced: 17 May 2026
https://github.com/alvii147/discretetimelib
Python library for analysis of discrete time signals and systems
numpy pandas scipy signals-and-systems sympy
Last synced: 03 May 2026
https://github.com/feguedi/clasificador-numeros
Proyecto final de la materia de Inteligencia Artificial donde se desarrolla un software que pueda clasificar los nΓΊmeros de la base de datos MNIST.
artificial-intelligence numpy python3
Last synced: 03 May 2026
https://github.com/joao-inacio/numpy-essencial-para-desenvolvedores-python
O curso foi elaborado para desenvolvedores Python que desejam explorar os recursos poderosos da biblioteca NumPy. AtravΓ©s de aulas prΓ‘ticas, eu vou adquirir as habilidades necessΓ‘rias para trabalhar com arrays multidimensionais, realizar cΓ‘lculos cientΓficos complexos e manipular dados com eficiΓͺncia.
array array-manipulations array-methods jupyter-notebook numpy python python3
Last synced: 03 May 2026
https://github.com/grachale/convolution_image
The implementation of a function that takes an image (RGB or gray one) and a filter (kernel) and applies a convolution between them.
convolution image-processing numpy python
Last synced: 03 May 2026
https://github.com/aiwithqasim/ab-testing-for-shoefly.com
In this project, I had analyzed the data set of SHOEFLY.COM to find out valuable insights to check which platform is more useful for advertisement.
Last synced: 13 Apr 2026
https://github.com/yareva/linear-regression-predictor
Linear Regression Predictor Model
matplotlib numpy pandas python sckit-learn
Last synced: 04 May 2026
https://github.com/winterwind/covid19_transfer_learning
A larger data science project that uses a 2D Convolutional Neural Network to determine the likelyhood of having covid-19 via CT images
2d-convolution adam-optimizer binary-classification cnn convolutional-neural-networks ct-images ct-scans eigencam gradcam heatmap jupyter-notebook matplotlib matplotlib-pyplot neural-networks numpy pyplot python pytorch resnet-18 transfer-learning
Last synced: 04 May 2026
https://github.com/gnikit/fileio
A template allowing to read multiple columns of tab or space delimited files. Similar functionality to numpy.loadtxt()
Last synced: 04 May 2026
https://github.com/mchenryspagg/investigate_a_dataset
This is a data analysis project that demonstrates the student's ability to use python data analysis libraries such as pandas, numpy and pyplot in matplotlib to investigate a dataset and answer specific questions from the dataset, thus demonstrating skills in data cleaning, data wrangling, and exploratory data analysis.
data-analysis datetime descriptive-analysis descriptive-statistics exploratory-data-analysis numpy pandas pyplot python visualization
Last synced: 04 May 2026
https://github.com/miozilla/fescarefine
fescarefine :skier::mount_fuji::guide_dog: : Refine & Test ML Models # Features Scaling # Normalization # Datasets
gradient-descent linear-regression matplotlib model-testing mse norm numpy ols overfit pandas scatter seaborn sklearn standardization statsmodels underfit
Last synced: 04 May 2026
https://github.com/hari7261/playwithdata-python
This is one of the repository where I have put lot of data science and machine learning related questions on their solutions I hope you will find something better than some other platforms. Thank you Happy exploring
data-analysis data-science data-science-learning machienlearning matplotlib matplotlib-python ml numpy numpy-arrays numpy-library pandas pandas-dataframe pandas-library python python-script sklearn
Last synced: 13 Apr 2026
https://github.com/karthikmprakash/karthikmprakash
Karthik's Portfolio
bs4 data-analysis data-science keras machine-learning numpy pandas portfolio python selenium skills streamlit
Last synced: 13 Apr 2026
https://github.com/silbena/gibbssampler
Gibbs Sampler for a simple mortgage model.
gibbs-sampler gibbs-sampling numpy python
Last synced: 04 May 2026
https://github.com/saifalibaig/crop-yield-prediction
πΎ A machine learning-based crop production prediction system using historical Indian agricultural data with advanced regression models and hyperparameter tuning.
eda feature-encoding feature-selection kaggle-dataset lasso-regression linear-regression matplotlib-pyplot numpy onehot-encoding pandas python3 ridge-regression seaborn simpleimputer xgboost-regression
Last synced: 04 May 2026
https://github.com/pedasoft-consult/product_purchase_prediction
As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.
machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 04 May 2026
https://github.com/shreeparab1890/heart-attack-analysis-prediction-accuracy-85.24
This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.
eda exploratory-data-analysis matplotlib numpy pandas plotly prediction python scikit sklearn
Last synced: 13 Apr 2026
https://github.com/powei-lin/least-square-problem-example
Example of solving least square problem with python
autograd least-square-regression least-squares matplotlib numpy python python3 scipy
Last synced: 04 May 2026
https://github.com/nur-alam39/course-lab-experiments
The lab works: Code of academic courses-Digital Image Processing, Microprocessor, OOP, Numerical Analysis
cpp lab lex matplotlib numpy oop opencv python
Last synced: 13 Apr 2026
https://github.com/mastermindromii/car-price-prediction-model
Here is My Regression Project based on Predicting Price of Car using Linear Regression.
linear-regression matplotlib numpy pandas python scikit-learn seaborn
Last synced: 13 Apr 2026
https://github.com/hanzopgp/randomkagglesolving
Trying to build models to resolve some interesting Kaggle datasets thanks to deep learning.
artificial-intelligence deep-learning jupyter-notebook machine-learning matplotlib numpy personal tensorflow
Last synced: 04 May 2026
https://github.com/aqueeqazam/machine-learning-using-scikit
This repository contains all of the algorithms used to train the machine learning models using the Scikit library.
Last synced: 04 May 2026
https://github.com/navindafernando/character-recognition
Sinhala Character Recognition using KNN :coffee:
joblib knn-algorithm machine-learning matplotlib numpy opencv pillow tikiner-gui
Last synced: 09 May 2026
https://github.com/lorenzorottigni/ml-missing-values
Machine Learning course of Piero Savastano 5: ColumnTransformer, SimpleImputer, numpy
column-transformer machine-learning missing-values numpy simple-imputer
Last synced: 05 May 2026
https://github.com/alexgustafsson/word-frequencies
Data and tools to compile word frequencies, trigrams and more for use with NLP, spelling correction etc.
language nlp nltk numpy python python3 sklearn spelling-correction trigram
Last synced: 10 May 2026
https://github.com/bhaskarkulshrestha/rock-vs-mine-prediction
A machine learning project to predict whether an object detected underwater is a rock or a mine using Logistic Regression.
colab-notebook logistic-regression machine-learning numpy pandas python sckit-learn supervised-learning
Last synced: 05 May 2026
https://github.com/egorouv/deepmachinelearning
DML Course
deep-machine-learning numpy python pytorch sklearn
Last synced: 05 May 2026
https://github.com/meicloudie/demo-python-data-analytics
Python Data Analytics
data-analyst jupyter matplotlib numpy pandas python work-project
Last synced: 05 May 2026
https://github.com/vc-nithesh944/pandas_numpy
Practice repository for NumPy & Pandas with scripts, notebooks, and notes for future revision
Last synced: 05 May 2026
https://github.com/kbunwong/stock-price-prediction-using-lstm
This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.
google-colab jupyter-notebook keras-tensorflow lstm-model machine-learning matplotlib numpy pandas python visualization yfinance
Last synced: 05 May 2026
https://github.com/sowmi0304/predictive-modeling-titanic-survival-prediction
Machine learning project to predict passenger survival on the Titanic using classification algorithms, data preprocessing, and model evaluation techniques.
machine-learning matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/niel0503/probabilidade-e-amostragem
Desafio desarrollado para el bootcamp de WoMakersCode
estadistica matplotlib numpy pandas stats
Last synced: 18 Jan 2026
https://github.com/lruizap/tomography-with-algebraic-topology
This project aims to analyze images using algebraic topology. The goal is to extract structural information from images through mathematical concepts such as connected components and loops.
gudhi jupyter-notebook matplotlib numpy opencv python tomography
Last synced: 05 May 2026
https://github.com/lohiyah/dataset_summariser
A Python tool for generating concise summaries of datasets using Pandas and NumPy for analysis, and Matplotlib and Seaborn for insightful visualizations. Ideal for quick exploratory data analysis (EDA).
matplotlib numpy pandas seaborn
Last synced: 05 May 2026
https://github.com/leogaudin/python_piscine_for_data_science
42 β’ Python Piscine for Data Science
42 data-science matplotlib numpy oop pandas piscine python
Last synced: 13 Apr 2026
https://github.com/mohitsai/boston-housing-data-analysis
Data Analysis Project for the City of Boston Government for insights into effect of property rennovations and remodelling on housing availability in the city
data-analysis data-science matplotlib numpy pandas python
Last synced: 05 May 2026
https://github.com/jeslipriya/expense-tracker
This is a smart expense tracking web app built with Flask that helps users manage and visualize their spending. It features Pandas and Numpy analysis to suggest ways to cut down on unnecessary expenses, with clean UI, graph visualizations, and secure login.
css flask-application full-stack html matplotlib numpy pandas
Last synced: 05 May 2026
https://github.com/alphacrypto246/air-quality-prediction
The Air Pollution Prediction project forecasts pollution levels using the Air Quality UCI dataset, including variables like CO, NOx, temperature, and humidity. It analyzes temporal and environmental factors to predict air quality trends.
machine-learning numpy pandas scikitlearn-machine-learning sckiit-learn
Last synced: 10 May 2026
https://github.com/theadeelahmed/mall-customers-segmention
This project segments mall customers based on income, age, and shopping score. Using clustering techniques, it identifies key customer groups for targeted marketing campaigns. Tools used: Pandas, Matplotlib, Seaborn, and Scikit-learn
matplotlib-pyplot numpy pandas python3 seaborn sklearn-clustering
Last synced: 05 May 2026
https://github.com/sahaavi/color-detection
Colour detection is the process of detecting the name of any color. Well, for humans this is an extremely easy task but for computers, it is not straightforward. Human eyes and brains work together to translate light into color. Light receptors that are present in our eyes transmit the signal to the brain. Our brain then recognizes the color. Since childhood, we have mapped certain lights with their color names. We will be using the somewhat same strategy to detect color names.
color-detection color-detector numpy opencv-python pandas
Last synced: 10 May 2026
https://github.com/enoobis/conwaygolg
Conway's Game of Life Generator
conway conway-life conway-s-game-of-life conway-sgame conways-game conways-game-of-life game-of-life numpy python
Last synced: 19 May 2026
https://github.com/jonad/quora_data_analysis
Exploratory data analysis and feature engineering on Quora dataset.
exploratory-data-analysis feature-extraction numpy pandas python3 quora-dataset
Last synced: 05 May 2026
https://github.com/nandinimarepalli/ai_ml_internship_projects
Projects completed during my AI/ML and Data Expert internship, including EDA, machine learning models, and dashboard development using Python, pandas, scikit-learn, and visualization libraries.
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/amruta33/lead_scoring_case_study
An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.
bagging linear-regression numpy pandas python3
Last synced: 05 May 2026
https://github.com/thanhloc81/rfm-model-project
β¨ Build a flow to deploy Segmentation evaluation through Python programming.
customer-segmentation numpy pandas python rfm-analysis
Last synced: 03 May 2026
https://github.com/debangshu9183/spam-mail-detection
To detect spam mail
logistic-regression machine-learning numpy pandas scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/abhisek-13/whatsapp-chat-analyzer
The WhatsApp Chat Analyzer is a data analysis project that provides insights into WhatsApp chats. It analyzes chat data to show metrics like the number of lines, most used letter, chatting duration, media files shared, most used emojis, and group member activity. The results are displayed on a user-friendly dashboard built with Streamlit.
data-analysis data-mining data-visualization eda machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/esoltys/climate_data_viz
FastAPI-based web application that fetches and visualizes climate data from the Copernicus Climate Data Store (CDS).
apache-echarts copernicus-climate-data-store fastapi numpy
Last synced: 10 May 2026
https://github.com/leavers/npblob
Transfer numpy array between Python and JavaScript losslessly
array javascript matrix numpy python streaming typescript
Last synced: 06 May 2026
https://github.com/toxe/python-plotting
Python Plotting
matplotlib numpy pandas plotting python
Last synced: 06 May 2026
https://github.com/mat-kubiak/manual-ml
DIY ML framework (using only NumPy!) + various demos
artificial-intelligence examples machine-learning ml ml-framework neural-networks numpy
Last synced: 06 May 2026
https://github.com/jjerphan/joml
A minimalist numpy-baked Neural Network API
deep-learning fun minimalist neural-network neural-networks numpy python wheel-implementing
Last synced: 10 May 2026
https://github.com/abhinav330/customer-behavior-analysis-linear-regression
This repository explores customer behavior data for an NYC clothing company with both a mobile app and website. They want to understand which platform drives higher sales.
data-analysis data-science data-visualization eda exploratory-data-analysis jupyter jupyter-notebook linear-regression machine-learning machine-learning-algorithms machinelearning-python numpy pandas python regression-analysis
Last synced: 06 May 2026
https://github.com/mikma03/datascience_python_datacamp
DataScience with Python. Code and examples. Python libraries, including pandas, NumPy, Matplotlib, and many more.
data-analysis data-science datacamp datascience numpy pandas python
Last synced: 06 May 2026
https://github.com/florasteve/ml-foundations-day2
Day-2 ML foundations: probability/stats refresh and NumPy logistic regression; notebooks with visuals.
data-science jupyter-notebook logistic-regression machine-learning matplotlib numpy statistics
Last synced: 10 May 2026
https://github.com/pnguyen215/pycelize
Pycelize is a Flask application designed for processing Excel and CSV files. It provides RESTful APIs for common data operations including extraction, normalization, mapping, SQL generation, and file binding.
excel lib numpy openpyxl pandas py-app pycelize python-service python3
Last synced: 17 Jun 2026
https://github.com/prachi-77/data-visualization
Data visualization using Python
barplot fooddata matplotlib-pyplot numpy pandas python restaurant visualizations
Last synced: 06 May 2026
https://github.com/dm-zhuk/goit-math-python-tests
Mathematics
matplotlib-python numpy pandas scipy
Last synced: 06 May 2026
https://github.com/shwetapardhi/assignment-05-multiple-linear-regression-2
Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t
collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score multi-linear-regression numpy ols-regression p-value pair-plot python r-square-values regress-exog residual-analysis smf statsmodels vif
Last synced: 09 May 2026
https://github.com/cycle-sync-ai/student-score-analysis
A data-driven student performance analysis project using UCI dataset (396 students, 33 features). Implements machine learning models (K-means, PCA, Decision Tree, Random Forest, Linear Regression) to analyze academic patterns and predict student scores based on lifestyle, health, and study habits.
clustering clustering-algorithm decision-trees feature-engineering learning-management-system linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas pca pickle prediction prediction-algorithm scikit-learn score seaborn student
Last synced: 06 May 2026
https://github.com/albert-2002/robust-penalized-empirical-likelihood-estimation-method-for-linear-regression
Implementation for the paper titled: Robust Penalized Empirical Likelihood Estimation Method for Linear Regression
linear-regression machine-learning numpy pandas python regression regression-analysis statistics
Last synced: 06 May 2026
https://github.com/satyacoder29/crm-analytics-power-bi
CRM Analytics Dashboard β An interactive dashboard using Tableau, SQL, and Salesforce CRM Analytics (CRMA) to analyze sales performance, customer segmentation, and churn prediction. Features automated ETL pipelines, predictive analytics, and real-time insights for data-driven decision-making. ππ
advanced-excel data-analysis data-cleaning data-collection data-transformation data-visualization matplotlib numpy pandas powerbi python seaborn sql tableau
Last synced: 14 Apr 2026
https://github.com/yashaka/learncv
Toolset used in learning Computer Vision at R_D course
Last synced: 14 Apr 2026
https://github.com/saagnik-mondal/chessengine
This is a simple and efficient chess engine implemented entirely in Python. It allows users to play chess against the computer, using an AI based on a Minimax algorithm with Alpha-Beta pruning for decision-making. The engine is designed to be easy to understand, extend, and play against the computer.
Last synced: 10 May 2026