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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/laurencewarne/eratosthenes

Random implementations of the sieve of Eratosthenes

algorithm eratosthenes numpy python3

Last synced: 16 Apr 2026

https://github.com/littie28/hazy-frames

Hierarchical coordinate frames - crystal clear transforms

3d coordinate-systems geometry numpy python reference-frames scipy transformations

Last synced: 18 Apr 2026

https://github.com/kganitis/bam-engine

High-performance Python implementation of the macroeconomic agent-based BAM model using ECS architecture

agent-based-modeling computational-economics macroeconomics numpy python

Last synced: 04 Mar 2026

https://github.com/shriansh8619/eda_customer_behavior

This project analyzes Nielsen transaction data using Python to uncover sales trends, customer preferences, and purchasing patterns. It provides insights to optimize inventory, create targeted promotions, and improve store performance. The goal is to help supermarkets enhance strategies and boost profitability based on data-driven insights

matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/dr-rompecabezas/page-view-time-series-visualizer

A data science project built as part of the freeCodeCamp curriculum.

matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/basith-ahmed/mtrp-butcher

A Machine Learning model, utilizing a range of technical indicators to accurately forecast forthcoming trend reversals with a high degree of confidence. This model is also complemented by an interactive web interface.

exponential-moving-average ipynb logistic-regression macd machine-learning matplotlib numpy pandas python rsi stochastic-rsi streamlit technical-analysis yfinance

Last synced: 04 Mar 2026

https://github.com/sundanc/besthousefinder

A Streamlit web application that helps users find the best house based on their preferences.

numpy pandas prediction python streamlit

Last synced: 17 Apr 2026

https://github.com/kunalkumar2001/data-analyst-python-and-its-library

Python (Basics to Advance) and Its Library for Data Analyst

dataanalyst matplotlib numpy pandas python seaborn

Last synced: 17 Apr 2026

https://github.com/hansalemaos/npchessimage

Creates a chessboard pattern as an image.

chessboard cv2 image numpy

Last synced: 05 Mar 2026

https://github.com/gautam-cs/data_science

In this project, I was trying to get most of the relevent information of the data using library like numpy, pandas. I have worked on data like aadhar data, Olympics data

aadhar-data csv data-science json numpy olympics-data pandas python35

Last synced: 17 Apr 2026

https://github.com/shashwat9kumar/us-accidents-data-analysis

Analysis of the US accidents using the US-Accidents dataset (4.2 million entries) from Kaggle

accidents accidents-analysis data-analysis data-analytics data-visualisation data-visualization matplotlib numpy pandas python

Last synced: 17 Apr 2026

https://github.com/vaishnavis03/finlatics_ml_program

This repository contains the .ipynb files for 3 datasets, along with a PPT for each. The datasets included are Facebook Marketplace Data, Sales Prediction Data, and Wine Quality data.

correlation data-analysis data-science data-visualization knn linear-regression machine-learning matplotlib numpy pandas random-forest-classifier scikit-learn

Last synced: 17 Apr 2026

https://github.com/kodemartin/np-pd-portfolio

Portfolio of numpy, pandas, and matplotlib solutions

matplotlib numpy pandas

Last synced: 17 Apr 2026

https://github.com/radinshahdaei/ce40215-nc

Theoretical and practical assignments for "Numerical Computation".

jupyter-notebook numpy python sympy

Last synced: 17 Apr 2026

https://github.com/kheriberto/knn_project

This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.

data-analysis knn-classifier numpy python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/esraamhmd/intelligent-skin-cancer-image-based-detection-models

This project combines traditional machine learning approaches with advanced deep learning techniques to assist healthcare professionals in early diagnosis and improve patient outcomes.

ai deep-learning ham10000 isic kaggle machine-learning matplotlib numpy pandas python3 pytorch seaborn skin-cancer skin-detection sklearn time torchvision tqdm

Last synced: 02 Apr 2026

https://github.com/iamwatchdogs/cardiovascular-risk-prediction

This mini-project uses machine learning algorithms to predict possible risks of heart disease by analyzing given data.

jupyter-notebook machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/akshitvats026/heart_disease_prediction

An ML-based Heart Disease Prediction System that predicts the likelihood of heart disease based on user health parameters. Built using Python, Pandas, and Scikit-learn, the system performs data preprocessing, trains a predictive model, and provides real-time predictions with high accuracy.

accuracy-score logistic-regression machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/satyas567/weatherdataanalysis

Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed

jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/offthetab/ml_homework

Практические работы по анализу данных МИРЭА 3 курс.

ml numpy pandas python shap sklearn xgboost

Last synced: 02 Apr 2026

https://github.com/davityak03/basics-of-python-

In this we have done multiple programs in python so as to develop the basic skill sets in python

array dictionary lists matrix numpy pandas programming python sets

Last synced: 02 Apr 2026

https://github.com/pranavv34/customer-segmentation

Predictive modeling and customer segmentation project using neural networks to forecast sales and categorize customers for targeted marketing in the online retail sector.

keras matplotlib numpy pandas python seaborn sklearn tensorflow

Last synced: 02 Apr 2026

https://github.com/mac2bua/autoalgo

Autonomous algorithm optimization research - 19x speedup achieved through self-driven iterations

algorithm-optimization autoresearch numpy performance python

Last synced: 02 Apr 2026

https://github.com/mnagaharshithrao/diamondpriceprediction

Diamond Price Prediction is a machine learning project that predicts the price of diamonds based on features like carat, cut, color, clarity, and more. Using models such as XGBoost, Random Forest, and Gradient Boosting, the project aims to accurately forecast diamond prices, helping buyers and sellers in the diamond industry make informed decisions

machine-learning numpy pandas sckiit-learn xgboost

Last synced: 17 Apr 2026

https://github.com/prashver/end-to-end-model-deployment-on-aws

Student Performance Analysis with Machine Learning analyzes factors impacting student outcomes using a robust machine learning pipeline. Achieving an impressive R2 score, it predicts student performance effectively. With extensive data preprocessing and deployment on AWS Elastic Beanstalk, it ensures scalability and high availability.

amazon-web-services aws-elastic-beanstalk end-to-end-deployment flask machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/felixamaladhas/amazon-reviews-sentiment-analysis

This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.

matplotlib numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/cosmicsid004/air_draw

Digital drawing....

handtracking mediapipe numpy opencv

Last synced: 30 Apr 2026

https://github.com/tharushi11/titanic-data-analysis

This repository contains a simple prediction model and survival predictions based on the Titanic dataset from Kaggle, along with detailed visualizations using Power BI.

dax machine-learning numpy pandas powerbi sklearn titanic-survival-prediction visualization

Last synced: 17 Apr 2026

https://github.com/christiemj/clock-drift-simulation

A Monte Carlo simulation in Python to model vacuum-induced frequency drifts in atomic clocks, with code and visuals (experimental setup, simulated vs. real-world comparison, and drift graph), as described in "Probing Vacuum-Induced Clock Drifts via Quantum Metrology: A Testable Hypothesis" (DOI: 10.5281/zenodo.15163879). Licensed under GPL 3.0.

allan-variance atomic-clocks cesium-ion clock-drift matplotlib monte-carlo-simulation numpy open-science pandas physics precision-metrology python quantum-metrology research-software scipy simulation vacuum-fluctuations vacuum-noise

Last synced: 17 Apr 2026

https://github.com/nikhilsree5/aerofitcasestudy

Customer Profiling and Market Segmentation for AeroFit Treadmills: A Data-Driven Approach

customerprofile eda numpy pandas python visualization

Last synced: 17 Apr 2026

https://github.com/theakashshukla/diabetes-prediction

Diabetes Prediction using futuristic tool

ai jupiter-notebook ml numpy pandas sklearn

Last synced: 17 Apr 2026

https://github.com/khushi130404/binning-binarization

This project demonstrates binning and binarization on the Titanic dataset, comparing results with and without numeric encoding. Visualizations highlight the transformations and their impact on survival analysis.

binarization binarizer binning columntransformer decision-trees matplotlib numpy pandas

Last synced: 17 Apr 2026

https://github.com/tashi-2004/deep-learning-grid-world-q-learning

Deep Learning Grid World Q-Learning . Implement Q-learning in a 5x5 grid where an agent navigates obstacles and rewards. Train the agent with varying learning rates, visualize its progress, and see Q-values as heatmaps. Run the script to start training and view results. Contributions are welcome!

agent-based-modeling artificial-intelligence deep-learning deep-q-learning exploitation exploration machine-learning machine-learning-algorithms matplotlib-pyplot numpy python q-learning q-learning-algorithm reinforcement-learning reinforcement-learning-algorithms state-value-function training

Last synced: 17 Apr 2026

https://github.com/vishal-verma-96/oil_spill_prediction_using_ml

This ML project predicts oil spills using various machine learning algorithms like XGBoost and Random Forest. This project also contains saving and load of the model to make predictions on a sample dataset.

data-science machine-learning-algorithms machine-learning-classification matplotlib model-building-and-evaluation numpy pandas pickle python-3 scikitlearn-machine-learning xgboost

Last synced: 17 Apr 2026

https://github.com/quinnphil/math-for-programmers

Work-alone code for Math for Programmers book by Paul Orland

geometry mathematics matplotlib numpy python

Last synced: 17 Apr 2026

https://github.com/mgitrov/cnn-on-cifar-10

A computer vision project aiming to classify random images uploaded by the user.

artificial-neural-networks computer-vision convolutional-neural-networks deep-learning keras matplotlib numpy pil regularization tkinter

Last synced: 17 Apr 2026

https://github.com/shhiivvaam/regression

Linear Regression Model

linear-regression numpy python

Last synced: 10 May 2026

https://github.com/mugambi645/classify-song-genre-from-audio-data

Classify song genres using supervised learning models & PCA for dimensiality reduction

decision-tree-classifier logistic-regression numpy pandas pca-analysis

Last synced: 17 Apr 2026

https://github.com/mnitin-reddy/content-based-recommendation-system-using-deep-learning

A content-based movie recommendation system using deep learning to predict user ratings by leveraging user and movie features. The system integrates neural networks for feature extraction, utility scripts for data processing, and supports both new and existing user recommendations.

deep-learning keras neural-networks numpy pandas python scikit-learn tensorflow

Last synced: 03 Apr 2026

https://github.com/rosieoh/emergency_dataanalysis

오픈데이터분석-응급의료체계 방안 정책 제안 데이터 분석

ipython matplotlib numpy pandas python scikit-learn scipy

Last synced: 04 Apr 2026

https://github.com/datamallo/python101

The ressources you need to learn or get better in Python. Covering the basics of Python3, NumPy and Pandas for

numpy pandas python3

Last synced: 18 Apr 2026

https://github.com/jinhx128/data_analysis

基于Matplotlib+Numpy+Pandas搭建的数据分析项目。

matpolotlib numpy pandas python

Last synced: 18 Apr 2026

https://github.com/compcode1/nfl-analysis

The objective of this analysis was to explore potential correlations between player attributes (such as average age and weight across different positions) and key team performance metrics from the 2023 NFL season.

datacleaning datanormalization numpy pandas pearson-correlation-coefficient pvalues

Last synced: 18 Apr 2026

https://github.com/27ahmad/movie-recommendation-system

Welcome to the Movie Recommendation System! This project uses Streamlit to provide personalized movie recommendations based on user preferences and similarity.

movie-recommendation numpy pandas python scikit-learn

Last synced: 04 Apr 2026

https://github.com/yassin522/music-genre-classification

This repository is dedicated to the Music Genre Classification project, an endeavor that leverages machine learning techniques to accurately classify music into various genres

catboost matplotlib numpy pandas python sklearn

Last synced: 04 Apr 2026

https://github.com/arnoldchrisoduor1/potato_disease

Trained a CNN to detect the presence and the current stage of Blight disease in potatoes, WebApp in FastAPI and React

fastapi keras numpy react serving-tensors tensorflow

Last synced: 04 Apr 2026

https://github.com/bvsam/nnfs

Basic neural network built using Python and Numpy. Created to better understand neural networks.

artificial-intelligence deep-learning machine-learning neural-network neural-networks numpy python3

Last synced: 18 Apr 2026

https://github.com/vansh-py04/data-analysis-questions-pandas-numpy-sql

Solution to 450+ Data Science Tech Stack questions essential for Data Analysts and Scientists!

data-analysis data-science deepnote machine-learning numpy pandas python sql

Last synced: 18 Apr 2026

https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation

An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.

clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn

Last synced: 04 Apr 2026

https://github.com/abdul-rafay19/california-housing-price-prediction

This project predicts California housing prices using machine learning regression models, including Random Forests and Decision Trees. It covers data preprocessing, exploratory analysis, model training, and hyperparameter tuning to optimize performance.

decision-trees gridsearchcv linear-regression matplotlib numpy pandas python random-forest randomsearch-cv scikit-learn scipy seaborn

Last synced: 04 Apr 2026

https://github.com/mnitin-reddy/a-b-testing-and-regression-analysis-for-ad-performance-optimization

Analyzed the performance of Facebook and AdWords ads using A/B testing and regression analysis to identify trends, correlations, and cost-effectiveness. Key insights included distribution of clicks and conversions, monthly trends, and cost-per-conversion analysis to optimize ROI.

abtesting data-science hypothesis-testing machine-learning matplotlib numpy pandas scikit-learn scipy seaborn statsmodels

Last synced: 04 Apr 2026

https://github.com/ccolpasm/pageviewanalyzer

PageViewAnalyzer analyzes and visualizes time series data of forum visits (2016-2019). It uses Pandas, Matplotlib, and Seaborn to create line plots, bar charts, and box plots, highlighting trends, monthly averages, and seasonality in page views. Perfect for data exploration with Python.

data-science matplotlib numpy pandas python

Last synced: 18 Apr 2026

https://github.com/sultanazhari/decisive-model-with-high-profit-potential-and-low-risk

OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.

accuracy-score chi2-contingency confusion-matrix logistic-regression matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn

Last synced: 18 Apr 2026

https://github.com/sundanc/weatherprediction

This project implements a weather prediction system that predicts the temperature based on real-time weather data, including features like humidity, wind speed, and day-related features (day of the week, month

machine-learning machinelearning numpy pandas programming python scikit-learn scikitlearn-machine-learning weather-prediction

Last synced: 18 Apr 2026

https://github.com/ricardorobledo/spamemailclassification

Spam email classification using machine learning (Random Forest, SVC, Logistic Regression, etc.) with data balancing techniques (SMOTE, BorderlineSMOTE, ADASYN). Final calibrated Random Forest model achieves ROC-AUC 0.982 and PR-AUC 0.979 on the Spam Email Classification dataset.

imbalanced-data imbalanced-learning numpy pandas python3 sklearn

Last synced: 05 Apr 2026

https://github.com/stffns/snapvec

Fast compressed ANN search via randomized Hadamard transform + Lloyd-Max quantization. Pure NumPy.

ann embeddings hadamard numpy quantization rag vector-search

Last synced: 07 Apr 2026

https://github.com/iv4n-ga6l/titanic-survival-prediction

a predictive model in Python that answers the following question: “using data relating to passengers (name, age, gender, socio-economic class, etc.), who has the greatest chance to survive?"

matplotlib numpy pandas python seaborn sklearn

Last synced: 18 Apr 2026

https://github.com/nksmanya/virtual_canvas

A hand gesture-based drawing app that lets you create art in the air using hand movements

mediapipe numpy opencv opencv-python python

Last synced: 18 Apr 2026

https://github.com/manalisbhavsar/mall-customers-clustering

K-Means clustering to mall customer data, segmenting customers based on their annual income and spending score. To identify patterns and group customers for targeted marketing.

data-analysis data-visualization matplotlib numpy pandas python scikit-learn

Last synced: 18 Apr 2026

https://github.com/alexkhype/04python-carpricepredictor

Modelo de machine learning para predecir el valor de mercado de autos usados, optimizando precisión y eficiencia.

catboost data-science lightgbm machine-learning numpy pandas python sklearn statistics xgboost

Last synced: 05 Apr 2026

https://github.com/jigyasag18/iit-guhawati-final-capstone-project

Smart Dynamic Parking Price Optimization System that adjusts parking fees in real-time based on demand, traffic, and competition. It employs adaptive pricing models and rerouting logic to enhance parking utilization and reduce congestion. The system is visualized via an interactive Streamlit dashboard, enabling users to simulate dynamic pricing.

bokeh bokeh-server bokehplots capstone-project data dataset deployment machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot mlproject normalisation numpy pandas pathway python streamlit

Last synced: 05 Apr 2026

https://github.com/shdrn2402/incomesresearch

The project aims to study the influence of various characteristics on a person’s income. In this project, I practiced data preprocessing and visualization, and also touched on the basics of machine learning.

jupyter-notebook matplotlib numpy pandas python seaborn sklearn visualization

Last synced: 05 Apr 2026

https://github.com/perpendicooler/elementary-research-for-steamboat-willie-s-store-in-poland

An elementary research for a company to opening store in a city using gurobi and pulp optimization.

christofides-algorithm gurobipy numpy pandas pulp python3 scikit-learn travelling-salesman-problem

Last synced: 05 Apr 2026

https://github.com/andres15alvarez/numericalcalculator

Calculator of roots of equations and system of linear algebraic equations.

numerical-methods numpy python scipy

Last synced: 05 Apr 2026

https://github.com/lorenzorottigni/ml-movies

Machine Learning python bootcamp: Recommender Systems on movies dataset

ipynb machine-learning numpy pandas python recommender-system scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/al-ghaly/prosper-loans-analysis

A statistical Analysis Project, to analyze the data of a finance company’s loans Using Python packages (pandas – NumPy – seaborn – matplotlib)

data-analysis matplotlib numpy pandas python python-data-analysis seaborn statistical-analysis statistics

Last synced: 18 Apr 2026

https://github.com/ahmaruff/kmeans-img-compress

Simple python image compression library using K-Means clustering

color-quantization image-compression image-processing kmeans kmeans-clustering numpy python

Last synced: 18 Apr 2026

https://github.com/rahuls-1106/dataspark

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-visualization jupyter-notebook matplotlib numpy pandas-dataframe powerbi python seaborn sql

Last synced: 18 Apr 2026

https://github.com/md-emranhossen/deep-learning-hub

Welcome to Deep Learning Playground, a personal repository for exploring and experimenting with deep learning concepts, architectures, and techniques. This repo serves as a hands-on space for implementing and understanding deep learning models, from fundamental neural networks to advanced architectures.

cnn-model deep-learning deeplearning gan generative-adversarial-network neaural-network numpy pandas pthon tensorflow

Last synced: 18 Apr 2026

https://github.com/zombietdv/rfl-13_8

Implementaion for Genetic algorithm and Q-Learning.

genetic-algorithm grid-world machine-learning numpy pygame q-learning

Last synced: 18 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
NumPy Categories
Blogs 404 Libraries 239 ⚡ Productivity 101 🧠 AI Applications & Platforms 96 🐍 Python 91 Exercises 87 Models and Projects 74 📚 Skill Development & Career 67 🗃️ SQL & Databases 53 Tutorials and Blog Posts 53 🤖 Machine Learning & AI 52 📦 Additional Python Libraries 52 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 37 🎲 Statistics & Probability 34 Videos 34 🚀 MLOps 31