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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/flexthink/matricize

A convenience library to convert between pure Python objects and their vectorized representations

data machine-learning numpy python

Last synced: 09 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/kingsley-ezenwaka/mean-var-std

This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.

numpy python

Last synced: 09 May 2026

https://github.com/brian-hepler-phd/kak-decomposition-qml

Cartan decomposition (SU(4)) via Lie theory and QML – exact + variational approaches for two-qubit gates.

lie-theory machine-learning numpy pennylane qml quantum-computing quantum-gate-decomposition scipy su4

Last synced: 09 May 2026

https://github.com/nahiyanhkhan/data-processing-and-visualization

Loan Data Processing using Python's numpy and pandas libraries. For data visualization, matplotlib and seaborn are used.

data-analysis-python data-visualization matplotlib numpy pandas seaborn

Last synced: 09 May 2026

https://github.com/priyanshul28/exercise_pandas

A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib.

data-cleaning data-visualization matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/chuvalniy/tulia

Contains self-implemented Machine Learning algorithms using only numpy.

boosting from-scratch knn learning logistic-regression machine ml numpy python random-forest regression sklearn testing xgboost

Last synced: 09 May 2026

https://github.com/michaelzheng67/real_estate_ml

AI experiment developed to run against simulated real estate and investing environment

ai numpy python pytorch

Last synced: 09 May 2026

https://github.com/sanjurajveer/market_basket_analysis

Finding pattern of bought objects through market basket analysis

apriori-algorithm association-rules numpy pandas python seaborn

Last synced: 09 May 2026

https://github.com/carol-neto/sprint-4-statistical-data-analysis

In this project I had the opportunity to test my knowledge by analyzing a phone plan and creating graphs to compare the plans and determine which ones generate the most revenue.

matplotlib-pyplot numpy pandas pytho scipy-stats seaborn statistical-analysis

Last synced: 09 May 2026

https://github.com/liannekiarra/university-dissertation

Combining Machine Learning Techniques with Multi-Objective evolutionary Algorithms to Solve Real World Engineering Problems

artificial-intelligence engineering hypervolume matplot multi-objective-optimization neuralnetwork nsga-ii numpy pareto-front pareto-optimality pymoo python3 sklearn

Last synced: 09 May 2026

https://github.com/arjunravi26/selenium

This repository contains code from my learning about Selenium for web scraping and automation.

numpy python selenium time undetected-chrome webdriver

Last synced: 09 May 2026

https://github.com/vadimkantorov/fasttsv

TSV parser for Python in pure vectorized NumPy code

numpy parsing simd tsv vectorized-code

Last synced: 09 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/tim-w-james/python-data-reference-code

Python reference code for data visualization, machine learning and SQL

data-science jupyter-lab numpy python

Last synced: 10 May 2026

https://github.com/1adityakadam/computer-vision-approach-for-quality-inspection-of-steel-sheets

Machine Learning and Computer Vision project improves steel defect inspection using computer vision. A segmentation technique partitions steel sheet images into regions, enabling better defect analysis. U-Net is used for segmentation, and MobileNetV2 for classification. Performance is evaluated with the Dice Coefficient.

computer-vision machine-learning numpy pandas unet-image-segmentation

Last synced: 10 May 2026

https://github.com/dawoudtormos/rain_predicition_ml

This repository contains a machine learning project for rain prediction using historical meteorological data. The goal is to predict whether it will rain the next day based on weather measurements like atmospheric water vapor, cloud formation, and past rainfall records.

ai machine-learning machine-learning-algorithms matplotlib numpy seaborn sklearn

Last synced: 10 May 2026

https://github.com/rebeccamorolong/market--basket--analysis

Market Basket Analysis using the Apriori algorithm to predict association rules and frequent itemsets from transactional data. The goal was to uncover product combinations that frequently co-occur in transactions, which can be used for recommendations, promotions, and inventory management.

apriori-algorithm numpy pandas seaborn

Last synced: 10 May 2026

https://github.com/dzakarias/waves

Fun with the sine function inspired by Chladni plates

numpy streamlit

Last synced: 10 May 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/prakashjha1/email-sms-spam-classifier

Many email services today provide spam filters that are able to classify emails into spam and non-spam email with high accuracy.

machine-learning natural-language-processing numpy pandas python

Last synced: 10 May 2026

https://github.com/mahmood-anaam/grid-world-value-iteration

An implementation of the Value Iteration algorithm for solving the Grid World problem. This project provides a function to compute the optimal value function for a grid-based environment where a robot navigates to maximize rewards while avoiding penalties.

dynamic-programming grid-world numpy optimization-problem python value-iteration-algorithm

Last synced: 10 May 2026

https://github.com/m1-elmasry/quickmark

Efficient OMR software designed for quick and precise grading of bubble sheet exams.

bubble-sheet image-processing numpy opencv python

Last synced: 10 May 2026

https://github.com/niteshchawla/loantap-logisticregression

Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?

confusion-matrix encoding feature-engineering featureimportance hyperparameter-tuning logistic-regression machine-learning numpy pandas-python precision-recall roc-auc-curve sklearn-metrics smote-sampling

Last synced: 10 May 2026

https://github.com/shubhansu-kr/int213-python-programming

Python Programming | Semester 3 | Python | OOPS | Tkinter | Pandas | Numpy

lpu numpy oops-in-python pandas python sem3 tkinter-gui

Last synced: 10 May 2026

https://github.com/jatin-s16/neuron_from_scratch

Hey! I am learning to build neural networks from scratch without the use of built-in Python libraries.

deep-learning neural-networks nnfs numpy python

Last synced: 10 May 2026

https://github.com/susanketsarkar/nn-from-scratch

A pure NumPy implementation of a deep neural network, built for educational purposes and deep learning understanding. This project implements a multi-layer neural network with various features commonly found in modern deep learning frameworks.

deep-learning implementation-of-algorithms neural-network numpy python

Last synced: 10 May 2026

https://github.com/velascort/image_equalizer_gui

Image equalizer using LUT interface.

image-processing lut numpy python scikit-image ttk

Last synced: 10 May 2026

https://github.com/tnleite/real-estate-opportunities-analysis

Este repositório apresenta uma análise de oportunidades no mercado imobiliário, combinando séries temporais, clusterização e previsões para identificar estados com maior potencial de crescimento e orientar estratégias de expansão eficientes.

catboostregressor cluster-analysis data-science kmeans-clustering lightgbm-regressor machine-learning-algorithms numpy regression-models scikit-learn xgboost-regression

Last synced: 10 May 2026

https://github.com/relostar-devil/census-income-prediction

An end-to-end ML project using 1994 US Census data to classify income (>50K/<50K). The Jupyter Notebook covers data preprocessing, EDA, and model evaluation with multiple classifiers.

matplotlib numpy pandas scikitlearn-machine-learning seaborn

Last synced: 10 May 2026

https://github.com/jsnevt/regressao_logistica

Cálculos de probabilidades sobre uma eleição

matplotlib numpy pandas-dataframe python

Last synced: 11 May 2026

https://github.com/adityarohatgi11/regression_analysis_london_crime

This project examines how police presence impacts crime rates in London using regression analysis, panel data, and a natural experiment from the 2005 London attacks.

data-wrangling numpy pandas regression-analysis statsmodels

Last synced: 11 May 2026

https://github.com/monarch1108/customerinsights-kmeans

understanding customers using KMeans and RFM(recency, frequency & monetary) analysis

data-analysis data-visualization kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn

Last synced: 11 May 2026

https://github.com/baschin1103/machine-learning-linear-regression-tsi

The model is the multiple linear regression loaded from scikit-learn. The aim is to create a model to forecast the so called Total-Skill-Index (TSI) of a player from hattrick.org. More information on: https://wiki.hattrick.org/wiki/Total_Skill_Index. In this repository is the programm and necessary data.

csv linear-regression machine-learning numpy pandas python statistics

Last synced: 11 May 2026

https://github.com/chaganti-reddy/heart_disease_prediction

Machine Model creation for Heart Disease Prediction

data-science deep-learning machine-learning numpy python

Last synced: 11 May 2026

https://github.com/parthds02/customer-segmentation-with-kmeans-clustering

Analyze customer behavior using Python and KMeans Clustering on transactional data. Features RFM analysis, data cleaning, clustering insights, and actionable visualizations to support business decision-making.

data-analysis data-visualization feature-engineering kmeans-clustering numpy pandas vscode

Last synced: 11 May 2026

https://github.com/omogbolahan94/google-play-store-app-analysis

Data exploration, data cleaning, interactive data visualisation and insight presentation

matplotlib numpy pandas plotly

Last synced: 11 May 2026

https://github.com/diogoribeiro7/vortex2d

2D vortex particle method (Gaussian-core) with RK4, viscosity, plots, animations

cfd matplotlib numpy python simulation vortex-method

Last synced: 12 May 2026

https://github.com/jsnevt/knn_neighborhood

ML - classificação por vizinhança

kneighborsclassifier matplotlib numpy pandas seaborn

Last synced: 13 May 2026

https://github.com/andydevs/optipy

Optimization algorithms written in python

numpy optimization optimization-algorithms

Last synced: 13 May 2026

https://github.com/claby2/ascii-generator

Python program to convert images into ASCII art.

ascii numpy optparse pillow python

Last synced: 13 May 2026

https://github.com/chicoyildiz/python-raytracing-demo

Interactive Python ray tracer (numpy + pygame) with a ceiling camera, dynamic resolution scaling, and a glowing bouncing fireball.

numba numpy python python3 raytracing

Last synced: 14 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/tomdewildt/interactive-and-explainable-ai-design

Code for The Interactive And Explainable AI Design course of my master's degree

jupyter lime numpy pandas python scikit-learn shap

Last synced: 18 Jun 2026

https://github.com/dino-kupinic/pocolocosolver

algorithmic solution with 3D visualization

algorithms numpy panda3d puzzle pytest python solver

Last synced: 19 Jun 2026

https://github.com/harshavardhanbommalata/knn_tutorial

K-Nearest Neighbors (KNN) is a simple yet powerful machine learning algorithm. Unlike models that learn parameters during training, KNN uses lazy learning—it stores the dataset and predicts by finding the closest neighbors, making decisions through majority voting.

machine-learning-algorithms mathematical-modelling matplotlib numpy pandas

Last synced: 20 Jun 2026

https://github.com/huzaifa12466/neuralnetscratch

A simple neural network implemented from scratch in Python using NumPy, trained on the Moons dataset

artificial-intelligence artificial-neural-networks backpropagation deep-learning forwardpropagation machine-learning matplotlib neural-network neural-networks numpy

Last synced: 23 Jun 2026

https://github.com/lmlk-seal/pyspeed

Intelligent Python Performance Optimization Tool Automatically profile, analyze, and accelerate your Python code with minimal effort.

analyzer customtkinter gui intelligent numpy optimization optimization-tools performance python real-world-problem-solving

Last synced: 23 Jun 2026

https://github.com/charlenry/python_math_machine_learning

Mes notebooks de travaux pratiques sur Python, NumPy, SimPy, SciPy, Matplotlib, Plotly, Seaborn et les Mathématiques pour le Machine Learning

algebra derivatives functions jupyter linear matplotlib matrix numpy plotly probabilities pyplot python pytorch scipy seaborn sklearn statistics sympy tensorflow time

Last synced: 25 Jun 2026

https://github.com/huggon1/ml-algorithm-implementations

Educational implementations for ML, DL, LLM blocks, ViT, and CUDA.

cuda machine-learning numpy pytorch vision-transformer

Last synced: 28 Jun 2026

https://github.com/asuquoaa/applied_data_science_with_python_study

Notes, codes and practicals on the Applied Data Science with Python specialization by UM

matplotlib numpy pandas seaborn

Last synced: 04 May 2026

https://github.com/dhanish03/credit_card_fraud_detection

Developed and implemented an advanced CCFDS using ML algorithms and pattern recognition techniques. Integrated real-time monitoring and adaptive learning capabilities into the system to dynamically adjust fraud detection parameters, ensuring effectiveness in identifying emerging fraud patterns.

kaggle-dataset numpy pandas-dataframe python3 sklearn

Last synced: 16 Apr 2026

https://github.com/iamsaniasingh/heart_disease_prediction

This is my very first machine learning project, where I used a supervised learning algorithm—logistic regression—to predict heart disease. The model was trained and tested entirely on a pre-existing dataset, with no user input involved. The goal was to understand how ML models work and how they can be applied in healthcare predictions.

logistic-regression machine-learning machine-learning-algorithms numpy pandas python sklearn

Last synced: 11 Apr 2026

https://github.com/mrktsm/spam-email-recognizer

Long Short-Term Memory (LSTM) network trained to classify emails as spam or non-spam. It processes email content to make accurate predictions and can be integrated into projects for efficient spam detection and email management.

data-preprocessing keras lstm-neural-network model-architecture nltk numpy pandas performance-evaluation scikit-learn spam-classification-model tenserflow training-the-model

Last synced: 09 Apr 2026

https://github.com/lmizner/grokking_data_science

Coding practice for basic data science interview questions in Python

data-science numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure

A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.

eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn

Last synced: 11 Apr 2026

https://github.com/gregoritsch3/ml_eda_clustering_aidassessment

An EDA and Machine Learning Clustering exercise on the Country Aid Assessment dataset demonstrating the use of PCA, KMeans and DBSCAN clustering, Elbow Methods, etc. The clustering algorithm successfully demarcates countries that are in most dire need of aid based on their GDPP and Child Mortality rate.

anova dbscan kmeans machine-learning matplotlib numpy pandas pca scikit-learn seaborn statistics

Last synced: 16 Apr 2026

https://github.com/ngangawairimu/data-validation-using-python

Agricultural dataset validated using python code for usage. Building a data pipeline that will ingest and clean data with the press of a button.

jupyter-notebook numpy pandas pytest python

Last synced: 13 Apr 2026

https://github.com/charles-l/rayboi

a raytracer written in futhark/python

futhark numpy pathtracing python3 raytracing

Last synced: 19 Apr 2026

https://github.com/vishnu-vamshii/heart-disease-prediction-using-ml

This project presents an end-to-end data analysis and machine learning pipeline for predicting heart disease using a publicly available dataset. The project includes data exploration, visualization, and implementation of various machine learning models to predict the likelihood of heart disease based on a set of clinical attributes.

machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 11 Apr 2026

https://github.com/eljandoubi/genre_classification

Create an ML pipeline for Genre Classification using MLflow.

hydra machine-learning mlflow numpy pandas pandas-profiling pytest scikit-learn scipy wandb

Last synced: 11 Apr 2026

https://github.com/audy21/datacamp

Learning portfolio documenting my progress, while taking Data Analyst & Data Science certifications from DataCamp.

data-analysis data-science machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/amanyadav-07/customer-churn-prediction

Machine Learning project to predict customer churn using Logistic Regression, Random Forest, and XGBoost. Includes data preprocessing, feature engineering, SMOTE balancing, model training, evaluation, and business insights.

accuracy-metrics data-analysis data-visualization logistic-regression machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn sklearn xgboost-classifier

Last synced: 11 Apr 2026

https://github.com/swarnabhaghosh/house-price-prediction-model

Built an end-to-end regression pipeline to predict house prices using Linear Regression with automated preprocessing (PowerTransform, StandardScaling) via Scikit-learn's Pipeline and ColumnTransformer.

column-transformer linear-regression matplotlib-pyplot numpy pandas pipeline python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/aksoni07/movie-recommendation

A hybrid movie recommendation system designed to deliver personalized and accurate suggestions by combining user preferences, item attributes, and collaborative patterns, ensuring a seamless and engaging experience.

clustering content-based-filtering data-analysis embeddings jupyter-notebook numpy ollaborative-filtering pandas personalization python recommendation-systems scikit-learn user-item-interactions

Last synced: 11 Apr 2026

https://github.com/rahatmoktadir03/customer-churn-prediction

A machine learning project for predicting customer churn, enabling businesses to identify at-risk customers and develop retention strategies.

business-analytics customer-churn-prediction data-science google-colab machine-learning numpy pandas python sklearn strreamlit xception-model

Last synced: 11 Apr 2026

https://github.com/chintanboghara/rocket-simulation

A comprehensive web-based orbital mechanics simulator with advanced mission planning, real-time tracking, and educational features.

docker flask html javascript numpy plotly python

Last synced: 11 Apr 2026

https://github.com/nachtfeuer/covid19

Python script(s) for visualizing corona data

csv json matplotlib numpy pandas python requests tkinter

Last synced: 05 May 2026

https://github.com/badranalyst/student-tests-data-analysis-application

Python-based analysis of student test scores in math, reading, and writing, examining correlations with parental education, lunch type, and test preparation. Includes data cleaning, visualization, and statistical insights into factors influencing academic performance.

data-analysis data-visualization dataset matplotlib numpy pandas python sklearn

Last synced: 05 May 2026

https://github.com/amanda-ucc/market-tracker

Automated portfolio creator that generates a portoflio which mimics a bench mark index by minimizing the tracking error.

beta covariance numpy pandas scipy sharpe-ratio tracking-error variance yfinance

Last synced: 11 Apr 2026

https://github.com/kahngjoonkoh/randomshapegenerator

A program that will generate images with random shapes and background colours. Can be customized and generated in bulk.

generative-art numpy opencv python threading tkinter

Last synced: 11 Apr 2026

https://github.com/egorumaev/2023-cirrhosis-outcomes

Прогнозирование исхода лечения пациентов с циррозом печени

catboost imblearn iqr lda matplotlib numpy pandas pca phik pipeline sklearn t-sne xgboost

Last synced: 08 May 2026

https://github.com/dastogirrudro/machine-learning-and-deep-learning

This is my thesis project which i have done in varsity.Here i used machine learning and deep learning i used LSTM as deep learning.This can identify aggresive spam message. Here i used pandas scikit-learn and many more framework i used python as a programming language.I used many algorithm for highering the accuracy of my project.

deep-learning lstm machine-learning numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/bunu23/image-classification

This repository contains a notebook implementing a Convolutional Neural Network for multi-class image classification using transfer learning with a pre-trained ResNet-50 model. Covers dataset handling, model architecture customization, training, evaluation, fine-tuning, and external image prediction.

keras matplotlib numpy pil python tensorflow

Last synced: 11 Apr 2026

https://github.com/bhawnamehbubani/advanced-zomato-restaurant-clustering-and-sentiment-analysis

This project leverages this data to perform clustering and sentiment analysis, providing actionable insights for customers and business growth.

matplotlib-pyplot nltk numpy pandas seaborn sklearn wordcloud

Last synced: 05 May 2026

https://github.com/udhaya2823/dataspark-illuminating-insights-for-global-electronics

✨DataSpark✨ is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.

data-science data-visualization database-management datacleaning exploratory-data-analysis matplotlib numpy pandas powerbi python seaborn sql version-control

Last synced: 11 Apr 2026

https://github.com/shreyasmehta05/sortsync

A custom sorting algorithm combining parallel merge and count sort, with detailed performance comparisons against standard sorting techniques.

c matplotlib numpy python3

Last synced: 04 Feb 2026

https://github.com/mani-prakash-n-r/stock_market_prediction_system

This project uses LSTM networks to predict stock prices based on historical data, providing insights for informed investment decisions..LSTM, NumPy, Scikit-Learn, Matplotlib, yfinance and TensorFlow

lstm matplotlib numpy python sckiit-learn tensorflow yfinance

Last synced: 11 Apr 2026

https://github.com/lijesh010/ml_project_data_preprocessing

The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.

data-cleaning data-exploration data-preprocessing machine-learning numpy pandas-python python scikit-learn

Last synced: 11 Apr 2026

https://github.com/project54321/stocksniper

"An interactive Stock Dashboard that visualizes historical prices, calculates key financial metrics, displays fundamental statements, and aggregates the latest news for any ticker — all in a sleek, easy-to-use Streamlit interface."

alphavantage finance numpy pandas plotly pypi python stock-market stocknews streamlit

Last synced: 11 Apr 2026

https://github.com/kkufieta/carnd-vehicle-detection

Vehicle Detection & Tracking - Self Driving Cars

cv2 hog-features numpy self-driving-car sklearn vehicle-detection

Last synced: 11 Apr 2026

NumPy Awesome Lists
awesome-jax 218 awesome-data-analysis 936 awesome-ebooks 106 awesome-jax 149 awesome-mojo-max-mlir 181 awesome-numpy 32 practice-data-science-programming-projects 90
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