An open API service indexing awesome lists of open source software.

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.

https://github.com/hansalemaos/cythonfastsort

C++ parallel sorting algorithms through Cython - up to 8 times faster than NumPy

c cpp cython numpy parallel-computing parallel-programming python sorting

Last synced: 04 Feb 2026

https://github.com/mgobeaalcoba/linear_algebra_for_machine_learning

Explore fundamental linear algebra concepts essential for machine learning in this repository, with code examples and explanations. Get a solid foundation for ML!

machine-learning matplotlib numpy pandas python3 scikit-learn scipy seaborn

Last synced: 12 Apr 2026

https://github.com/csoren66/credit-card-fraud-detection

Credit card fraud detection through logistic regression.

logistic-regression machine-learning numpy pandas python sklearn

Last synced: 03 Mar 2025

https://github.com/hansalemaos/cythonnestednumpy

performs sorting and grouping operations on multidimensional NumPy arrays using Cython and hash-based algorithms.

cython hash numpy sorting

Last synced: 07 Jan 2026

https://github.com/danhenriquex/data-science-project

The main goal of this project was to apply the concepts of data visualization and analysis.

data-analysis data-science numpy pandas python

Last synced: 12 Apr 2026

https://github.com/shahinuralambhuiyan/learning-ml

Start learning Machine Learning basic from CodeBasics Channel

anaconda jupyter-notebook kaggle-dataset matplotlib numpy pandas pip python

Last synced: 12 Apr 2026

https://github.com/dhruvsrikanth/pynn

Purely NumPy based API for building deep neural networks.

deep-learning deep-learning-framework machine-learning numpy python pytorch

Last synced: 09 May 2026

https://github.com/datarohit/nlp-course-files

The files in this Repo are files for the online NLP-Course from Udemy.com which I completed.

nlp nlp-machine-learning nltk numpy panda python sklearn spacy

Last synced: 12 Apr 2026

https://github.com/datarohit/imdb-reviews-sentiment-analysis

This is a NLP - Sentiment Analysis Project built using Bernoulli-Naive-Bayes Algorithm to Predict is the IMDB Movie Review is Positive or Negative.

bernoulli-naive-bayes classification count-vectorizer multinomial-naive-bayes nltk numpy pandas porter-stemmer regex sentiment-analysis sklearn

Last synced: 29 Apr 2026

https://github.com/nomadsdev/pulse-detect

PulseDetect is a Python tool that detects audio frequencies in real-time. It captures sound from the microphone and identifies the dominant frequency using pyaudio and numpy

numpy pulse-detect pyaudio python scipy

Last synced: 07 Jan 2026

https://github.com/iver56/cython-region-growing

A quick experiment: Region growing (AKA flood fill) algorithm implemented in Cython and Python

benchmark cython flood-fill numpy python region-growing

Last synced: 25 Apr 2026

https://github.com/Vice777/SAFE-HEART

Classify the chances of having a Heart Attack based on your Heart's Condition.

kaggle machine-learning matplotlib mlfromscratch mlp-classifier multilayer-perceptron-network numpy pandas pickle streamlit streamlit-webapp

Last synced: 11 Mar 2025

https://github.com/amorehead/ml-fundamentals

A self-educational series of Python scripts made to explore the vast library of machine learning knowledge.

machine-learning numpy pandas python scipy sentdex tensorflow tflearn

Last synced: 13 Apr 2026

https://github.com/sebsikora/curve_fitting

A short guide to using Python tools to perform arbitrary curve-fitting of research data via constrained minimisation.

curve-fitting minimisation numpy optimisation python scipy

Last synced: 13 Apr 2026

https://github.com/vidhi1290/hr_employee_prediction

"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.

data-exploration data-science data-visualization docker hr-employee-prediction hyperparameter-tuning machine-learning matplot model-building numpy pandas scikit-learn seaborn streamlit streamlit-webapp

Last synced: 13 Apr 2026

https://github.com/otuemre/simplenet

A simple neural network framework built from scratch using Python and NumPy. Designed as a learning tool, SimpleNET includes essential layers, activation functions, and loss functions, enabling users to build and train basic neural networks from the ground up.

backpropagation deep-learning from-scratch machine-learning neural-network numpy python

Last synced: 13 Apr 2026

https://github.com/zion-dev1/e-commerce-analysis

Short machine learning project which analyses customer behaviour 🔎

analysis clustering ecommerce machine-learning numpy pandas sklearn

Last synced: 05 Jul 2025

https://github.com/petitgrizzlies/metaheuristiques

Travaux pratiques de meta heuristique. Unige 2016-2017

cffi cpp golang heuristic-algorithm matplotlib numpy python35

Last synced: 13 Apr 2026

https://github.com/parmeetbhamrah/air-quality-india-analysis

Exploratory data analysis of real-time air quality data from Indian cities using Python, Pandas, Matplotlib, and Seaborn.

air-quality data-analysis eda exploratory-data-analysis government-data india matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/akash-rajak/image-noise-remover

Python Script to remove noise from image.

cv2 image-noise-remover numpy os python3 random tkinter

Last synced: 28 Apr 2026

https://github.com/iv4n-ga6l/Realtime-Car-Traffic-Tracking

Realtime car traffic tracking using yolov8 model

cartracking numpy opencv python ultralytics yolov8 yolov8n

Last synced: 28 Apr 2025

https://github.com/ngirimana/decision-trees-and-random-forest-

For this project we will be exploring publicly available data from [LendingClub.com](www.lendingclub.com). Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this. Lending club had a [very interesting year in 2016](https://en.wikipedia.org/wiki/Lending_Club#2016), so let's check out some of their data and keep the context in mind. This data is from before they even went public. We will use lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full. You can download the data from [here](https://www.lendingclub.com/info/download-data.action) or just use the csv already provided. It's recommended you use the csv provided as it has been cleaned of NA values. Here are what the columns represent: * credit.policy: 1 if the customer meets the credit underwriting criteria of LendingClub.com, and 0 otherwise. * purpose: The purpose of the loan (takes values "credit_card", "debt_consolidation", "educational", "major_purchase", "small_business", and "all_other"). * int.rate: The interest rate of the loan, as a proportion (a rate of 11% would be stored as 0.11). Borrowers judged by LendingClub.com to be more risky are assigned higher interest rates. * installment: The monthly installments owed by the borrower if the loan is funded. * log.annual.inc: The natural log of the self-reported annual income of the borrower. * dti: The debt-to-income ratio of the borrower (amount of debt divided by annual income). * fico: The FICO credit score of the borrower. * days.with.cr.line: The number of days the borrower has had a credit line. * revol.bal: The borrower's revolving balance (amount unpaid at the end of the credit card billing cycle). * revol.util: The borrower's revolving line utilization rate (the amount of the credit line used relative to total credit available). * inq.last.6mths: The borrower's number of inquiries by creditors in the last 6 months. * delinq.2yrs: The number of times the borrower had been 30+ days past due on a payment in the past 2 years. * pub.rec: The borrower's number of derogatory public records (bankruptcy filings, tax liens, or judgments).

artificial-intelligence decision-tree-classifier machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn

Last synced: 11 Apr 2026

https://github.com/shibam120302/plant_deseases_prediction

Plant disease forecasting is a management system used to predict the occurrence or change in severity of plant diseases. At the field scale, these systems are used by growers to make economic decisions about disease treatments for control.

keras numpy opencv python

Last synced: 13 Apr 2026

https://github.com/anvesham/machinelearning_models_using_matlab

Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers

bagging-ensemble bayesian-optimization decision-trees jupyter-notebook machine-learning matlab multiple-linear-regression-model numpy python random-forest-regression

Last synced: 11 Apr 2026

https://github.com/itancio/realestateprice

This is an application of deep learning to train and predict real estate price dataset in King County, USA.

datat-visualization machine-learning numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/sivatsk26/university-admit-eligibility-predictor

This project is created using Machine Learning and Regression methods- a statistical technique to predict the outcome of event which is to verify the users’ admission eligibility level, considering the universities they have chosen. This is achieved based on the algorithms implemented, when is user feed the application with the required information

html-css-javascript ibm-cloud ibm-watson linear-regression machine-learning matplotlib numpy pandas python python-flask random-forest scikit-learn

Last synced: 13 Apr 2026

https://github.com/Krisseck/hki-traffic-predict

Keras neural network to predict traffic in Helsinki

avoindata helsinki keras numpy open-data python traffic

Last synced: 13 Jul 2025

https://github.com/programmer-rd-ai/dimensionality-reduction

DimRed is a comprehensive Python toolkit for advanced dimensionality reduction, integrating with major machine learning libraries and featuring real-time performance monitoring to enhance data analysis and model efficiency.

analytics data-analysis data-science lightgbm machine-learning matplotlib numpy pandas programming python python3 sklearn university xgboost

Last synced: 01 Mar 2025

https://github.com/avs123a/image-color-spaces-morphology-demo

Simple demo that shows extracting RGB and HSV channels, converting from RGB to HSV and reverse converting. There are 4 main morphological operations used: erosion, diletion, opening and closing image

demo image-processing jupyter-notebook numpy opencv python3

Last synced: 05 May 2026

https://github.com/faisal-khann/comprehensive_banking_portfolio

This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.

data-manipulation eda matplotlib numpy pandas powerbi python seaborn

Last synced: 20 Apr 2026

https://github.com/savernish/forgenn

forgeNN is a in-development purpose‑built neural network framework combining a transparent NumPy autograd engine with a Keras‑like API and performance oriented primitives. Developed by a college student with an ambitious feature pipeline.

artificial-intelligence deep-learning keras machine-learning mlp-networks neural-network numpy pytorch tensorflow tensors

Last synced: 08 Oct 2025

https://github.com/harmanveer-2546/diabetes-prediction-using-machine-learning

Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.

adaboost decision-trees gradient-boosting-classifier gridsearchcv knn-classification machine-learning numpy os pandas pickle python random-forest seaborn svc-model

Last synced: 14 Apr 2026

https://github.com/shreeparab1890/flipkart-laptops-analysis-eda

This ipython notebook is the Exploratory data analysis (EDA) of the Laptops listed on Flipkart.

data-analysis eda exploratory-data-analysis matplotlib-pyplot numpy pandas plotly

Last synced: 14 Apr 2026

https://github.com/omerkel/fractals

Rendering Fractals like Hilbert curves, Julia sets and Mandelbrot sets in various techniques.

fractals glsl-shaders hilbert-curve julia-sets jupyter-notebook mandelbrot-sets matplotlib numpy webgl-shader

Last synced: 13 May 2026

https://github.com/the-developer-306/house-price-predictor

House Price Predictor: Harnessing machine learning algorithms to forecast housing prices in Boston, empowering buyers and sellers with accurate predictions based on key factors like location, crime rate, rooms, accessibility, and more.

csv ipynb-jupyter-notebook joblib matplotlib numpy pandas python scikit-learn

Last synced: 23 Feb 2026

https://github.com/l-johnston/microohm

SI unit system in Numpy as native dtype

numpy python units

Last synced: 24 Feb 2026

https://github.com/harikrishnan669/python

Basic Python programs and Try outs..

matplotlib numpy pandas python tkinter tkinter-gui

Last synced: 27 Jan 2026

https://github.com/vineet416/chronic-kidney-disease-prediction

This repository contain code of Chronic Kidney Disease Detection Prediction Project. The goal of this project is predict the chronic kidney disease using parameters like Diabetes Mellitus, Blood Urea, Sugar, Hypertension etc.. I used multiple machine learning algorithms with hyperparameter tuning which is having highest accuracy score of 97.5

data-visualization data-wrangling exploratory-data-analysis feature-engineering feature-selection hyperparameter-tuning machine-learning matplotlib numpy pandas plotly pre-processing python seaborn sklearn-library statsmodels

Last synced: 14 Apr 2026

https://github.com/anfany/python3-practice

基于Python3的多种工具实例代码、以及流行库的使用贴士

matplotlib numpy pandas python3 tensorflow tips

Last synced: 04 May 2026

https://github.com/octcarp-courses/SUSTech_CS303-AI_F23_Works

(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.

numpy pytorch sustech

Last synced: 24 Oct 2025

https://github.com/jilliennelapid/finalproject_group53

Final Project for COP2080. Audio Graphical software that works with mono-channel .wav files and plots them in various ways.

matplotlib numpy pydub python scipy tkinter

Last synced: 14 Apr 2026

https://github.com/elissorokin/data-analyst-portfolio-rus

Это репозиторий, в котором я демонстрирую свои навыки, делюсь проектами и отслеживаю прогресс в области анализа данных и Data Science.

ab-testing data data-analysis datalense matplotlib numpy pandas plotly portfolio postgresql python scipy seaborn sql statistical-analysis

Last synced: 25 Feb 2026

https://github.com/prabath1998/rice_leaf_disease_ditection_system

This project is a Paddy Crop Disease Detection System that uses machine learning to identify diseases in paddy (rice) leaves. Farmers can upload an image of a paddy leaf, and the system will predict whether the leaf is healthy or affected by a specific disease

flask joblib numpy opencv pillow sklearn

Last synced: 15 Apr 2026

https://github.com/carrington-115/ppt-generator-from-excel

PPT Generator for Excel file

numpy oop pandas python python-pptx

Last synced: 10 Feb 2026

https://github.com/w86763777/numpynet

A simple Deep Learning framework powered by numpy.

backpropagation cnn deeplearning fundamental numpy python

Last synced: 11 Feb 2026

https://github.com/chandadiya2004/mnist-digit-classification

This repository demonstrates MNIST digit classification using deep learning. It includes a neural network model built with frameworks like TensorFlow to classify handwritten digits (0-9) from the MNIST dataset. The project covers data loading, preprocessing, model training, evaluation, and accuracy visualization.

confusion-matrix cv2 google-colab-patches keras matplotlib-pyplot numpy pillow python seaborn tensorflow

Last synced: 12 Feb 2026

https://github.com/sralter/sustainability_insights

A data analysis project that derived insights from an emissions dataset sourced from Climate TRACE.

duckdb eda matplotlib numpy pandas tableau

Last synced: 12 Feb 2026

https://github.com/amirdh17/reading-device-for-visually-impaired

This device looks like reading stand which can take photo of the book and read out for visually impaired person. Raspberry Pi 4 is used as controller. Major Python modules used are Pytesseract, OpenCV and Pytts.

autocorrect image-processing nlp numpy opencv-python pillow portable pytesseract-ocr python3 pyttsx3 raspberry-pi-3 skimage thonny

Last synced: 12 Feb 2026

https://github.com/yantonov/ml-docker

Playground for common python ml libraries

anaconda catboost docker docker-image jupiter numpy pyplot python scipy sklearn

Last synced: 27 Feb 2026

https://github.com/sakshisrivastava-2601/credit-card-fraud-detection

Credit Card Fraud Detection Project Using Machine Learning. This project focuses on leveraging advanced Machine learning techniques to identify fraudulent transactions with high accuracy.

advanced-machine data machine-learning numpy project-repository python pytorch random-forest

Last synced: 16 Apr 2026

https://github.com/neurodivergent-dev/3d-fractal-explorer

Interactive 3D visualization tool for exploring the mesmerizing world of Mandelbrot and Julia fractals. Built with Python, OpenGL and PyQt5, offering real-time animation and intuitive controls.

3d-graphics complex-numbers computer-graphics data-visualization educational fractal graphics-programming interactive julia-set mandelbrot math-visualization mathematical-art mathematics numpy opengl pyqt pyqt5 python scientific-visualization visualization

Last synced: 04 May 2026

https://github.com/ul-mds/gecko-data

Example data sources as a starting point for working with Gecko

data-science numpy pandas python record-linkage

Last synced: 16 Apr 2026

https://github.com/swimshahriar/machine-learning

This repository contains the machine learning models that I have worked on during learning "Machine Learning".

numpy pandas python3 sklearn

Last synced: 16 Apr 2026

https://github.com/sorna-fast/iris-classifier-pca

An interactive web application for Iris flower classification using Random Forest and PCA visualization, built with Streamlit. Features real-time predictions, interactive model training, and beautiful data visualizations.

matplotlib matplotlib-pyplot matplotlib-python numpy pandas python seaborn sklearn streamlit

Last synced: 16 Apr 2026

https://github.com/diihgab/ai-mouse-virtual

🖱️ An AI-based system to control the mouse cursor using Python and OpenCV with the camera in real time.

autopy mediapipe numpy opencv python

Last synced: 16 Apr 2026

https://github.com/ramamagarwal/mathematical-simulation-projects

This repository comprises my math modelling-based projects covering topics of Linear Algebra, Probability and Statistics.

matplotlib numpy python sympy

Last synced: 16 Apr 2026

https://github.com/asadullah-imran/student-performance-data-analysis

This is a very simple exploratory data analysis of Student Performance in a class. data is taken from Kaggle.

datanalysis matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/mikelane/neuralnetwork

A neural network implemented in python.

machine-learning matplotlib neural-network numpy python python3

Last synced: 17 Apr 2026

https://github.com/mattia-hulathduwage/image-dehazing-tool

An image dehazing tool built with Python, OpenCV, and NumPy to enhance visual clarity in hazy images, featuring real-time processing and a user-friendly interface for saving dehazed results.

flask numpy opencv python

Last synced: 17 Apr 2026

https://github.com/ronhachmon/road-detection

lane detection using cv2

cv2 numpy

Last synced: 17 Apr 2026

https://github.com/iv4n-ga6l/openpose-prediction

Person's body parts or joint position detection using openCV

detection numpy opencv prediction prediction-model python

Last synced: 17 Apr 2026

https://github.com/hrishixd/weather-data-analysis

This project involves analyzing weather data using Python to uncover patterns and trends in temperature, precipitation, and other meteorological parameters. The analysis showcases the use of Python libraries for data cleaning, manipulation, and visualization.

numpy pandas python

Last synced: 17 Apr 2026

https://github.com/thaikoz/data-science

This repository contains various data science projects and exercises implemented in Python using Jupyter Notebooks. It is intended for educational purposes and to document my learning journey in data science.

numpy pandas python

Last synced: 17 Apr 2026

https://github.com/assamirzafar/learning

My Roadmaps and challenges are in this repo...I will add my colab and kaggle notebook links along with py script files in here.

calculus convolutional-neural-networks deep-learning deep-neural-networks keras linear-algebra machine-learning numpy opencv probability python3 pytorch scikit-learn scipy statistics

Last synced: 05 Apr 2026

https://github.com/aryansk/human-counting-system

HumanVision-Detector is a real-time human detection system built with OpenCV and HOG (Histogram of Oriented Gradients) descriptor. The system can detect and count people in both images and video streams, making it suitable for various applications including surveillance, crowd monitoring, and foot traffic analysis.

argparse imutils machine-learning machine-learning-algorithms numpy opencv python

Last synced: 19 Apr 2026

https://github.com/lostvikx/data-analysis-py

Notes & Code following Python for Data Analysis textbook

data-analytics matplotlib notes numpy pandas

Last synced: 20 Apr 2026

https://github.com/seungjaelim/scratchml

Implement neural network only using numpy

deep-learning machine-learning numpy

Last synced: 20 Apr 2026

https://github.com/gg7991/data-analysis-with-python-certification-freecodecamp

Challenges for DA with Python Certification on FreeCodeCamp

matplotlib matplotlib-pyplot numpy pandas

Last synced: 21 Apr 2026

https://github.com/amir78729/numpy-system-solution-detector

Linear Algebra course - First Project

echelon-form linear-algebra matrix numpy

Last synced: 26 Apr 2026

https://github.com/shsiena/evolutionary-dots

A simple pygame genetic-algorithm project simulating evolution of dots to find a path around obstacles to a goal.

evolutionary-algorithm genetic-algorithm machine-learning mutation numpy pathfinding pygame python3

Last synced: 27 Apr 2026

https://github.com/iusztinpaul/ibm-assets-recommendation-engine

Deployable recommendation system for predicting the fittest IBM articles for a given user.

ibm machine-learning numpy pandas python recommendation-engine recommendation-system svd-matrix-factorisation

Last synced: 27 Apr 2026

https://github.com/haukzero/decisiontree-strat-from-scratch

依据西瓜书从零开始手写决策树分类器,只使用 pandas, numpy, graphviz 三个扩展包,其中 graphviz 用于将生成的树可视化

decision-tree-classifier machine-learning numpy python start-from-scratch

Last synced: 27 Apr 2026

https://github.com/iliatrofimov/linearsystems_solvers

Several methods of solving sistems of linear equasions

algebra-lineal numpy

Last synced: 28 Apr 2026

https://github.com/mgobeaalcoba/pandas_y_numpy

Trabajos realizados con estas librerías de Python para manejo de datos.

data-analysis data-science dataset numpy pandas python

Last synced: 28 Apr 2026

https://github.com/patilni3/python_data_analysis

Important Tools and its Functions

excel matplotlib numpy pandas seaborn

Last synced: 28 Apr 2026

https://github.com/javierkaiser9/rgb-d_dual_input_machine_learning_model

This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO

efficientnet efficientnetv2 machine-learning numpy opencv openvino python3 realsense-camera tensorflow

Last synced: 28 Apr 2026

https://github.com/ayaanjawaid/diwali-sales-analysis

The code file contains the Analysis of Diwali sales. Performed Exploratory Data Analysis (EDA) on Measure Values.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/li-plus/tinynn

An educational PyTorch-like neural network framework based on NumPy

autograd deep-learning machine-learning neural-network numpy python

Last synced: 30 Apr 2026

https://github.com/akshaypatra/expression_detector

The Expression Detector is an AI-based system that identifies and classifies human facial expressions in real-time . It utilizes computer vision and deep learning techniques to analyze facial features and determine the emotional state of a person, such as happiness, sadness, anger, surprise, fear, disgust, or neutrality.

keras-tensorflow neural-network numpy opencv-python python3

Last synced: 30 Apr 2026

https://github.com/zazi2002/neuroscience-reinforcement-learning

Neuroscience of Learning, Memory, Cognition project, containing a Jupyter notebook implementing a reinforcement learning approach for a neuroscience-related task.

deep-learning matplotlib numpy pytorch reinforcement-learning

Last synced: 30 Apr 2026

https://github.com/nmsby/pca-machine-learning-lab

Principal Component Analysis (PCA) implementation and analysis lab for Machine Learning. Features manual PCA implementation, scikit-learn applications, data compression, and feature extraction with detailed visualizations.

data-analysis dimensionality-reduction jupyter-notebook machine-learning numpy pca python scikit-learn visualization

Last synced: 01 May 2026

https://github.com/anarya22/heart-disease-classification

Predicting heart disease using machine learning. This notebook looks into various python base ML and DS libraries in an attempt to build a machine learning model capable of predicting whether or not someone has heart disease based on their medical attributes.

data-cleaning data-visualization machine-learning matplotlib numpy pandas scikit-learn

Last synced: 01 May 2026

https://github.com/billgewrgoulas/hypothesis-testing-on-37-seasons-of-nba

First assignment for the course Data Mining @CSE.UOI

data-analysis data-science numpy scipy seaborn statistics

Last synced: 01 May 2026

https://github.com/scorleos773/three-body-problem-simulator

Three-Body Problem Simulation - A Python-based simulation of the Three-Body Problem with both 2D and 3D visualizations. Uses `matplotlib` and `scipy` to model gravitational interactions and animate orbital trajectories. 🚀🔭

differential-equations matplotlib mplot3d newtonian-mechanics numerical-integration numpy orbital-mechanics python runge-kutta-methods scipy-integrate three-body-problem three-body-simulation

Last synced: 02 May 2026