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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/epsoft/tensorflow-basics

Tensorflow Basics

basics numpy tensorflow

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

https://github.com/back2matching/turboquant-vectors

Compress embeddings 6x instantly with TurboQuant. First pip package using Google's TurboQuant (ICLR 2026) for vector search. 71.9% recall vs FAISS PQ 13.3%.

compression embeddings faiss machine-learning numpy quantization rag turboquant vector-search

Last synced: 08 Jun 2026

https://github.com/khaymanii/titanic_survival_prediction_-model

This Model was built using Python and Logistic Regression algorithm

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 May 2026

https://github.com/oguzhansarigol/expected-goals-xg-data-analysis

We will analyze in our code the expected goal locations of football players based on which areas of the field, at what times, with which feet, using which parts of their bodies, and from which angles and distances they are most likely to score.

data-analysis-python expected-goals numpy pandas-python python

Last synced: 02 May 2026

https://github.com/cchandre/quasiperiodic_frenkel-kontorova

Analyticity breakdown for Frenkel-Kontorova Models in quasiperiodic media

dynamical-systems frenkel-kontorova hamiltonian numpy python3 scipy

Last synced: 02 May 2026

https://github.com/dhruv-26/parkease-pro

ParkEase Pro is an AI-powered smart parking system built with Python, OpenCV, MySQL, and ANPR technology. It automatically calculates parking fees, tracks entry-exit times, and detects empty spots using AI for real-time monitoring.

automatic-number-plate-recognition computer-vision easyocr multiprocessing numpy opencv pickle pil python sql tkinter-gui

Last synced: 09 Jun 2026

https://github.com/realtristan/micronet

Neural network library from scratch

neural-networks numpy python pytorch

Last synced: 03 May 2026

https://github.com/wilfriedmercier/somptimised

An optimised version of sklearn-som with extended functionalities.

machine-learning machine-learning-algorithms numpy python python3 self-organizing-map som

Last synced: 09 Jun 2026

https://github.com/asit-14/python-programming

This repository contains all the programs and resources we will use to learn Python programming. It also includes various modules, Python libraries, and several project examples to enhance our learning experience.

matplotlib modules numpy pandas python tkinter

Last synced: 03 May 2026

https://github.com/simipk12/eda-healthcare-project

Healthcare Insurance Cost Analysis This project analyzes the Healthcare Insurance dataset to explore factors that influence medical charges. The goal is to identify key drivers of insurance costs, detect outliers, and provide actionable insights for individuals, insurance companies, and policymakers.

eda matplotlib numpy pandas python seaborn

Last synced: 04 May 2026

https://github.com/pinedah/escom_programming-for-data-science

This repository contains personal notes, exercises, and programs from the Programming for Data Science course at Instituto Politécnico Nacional (IPN). The course focuses on using Python programming for data handling, statistical analysis, and machine learning techniques.

data-science escom matplotlib numpy pandas python python-algorithms python-library

Last synced: 04 May 2026

https://github.com/megha060199/academic-erp

Python, SQL, Javascript

mysql numpy python

Last synced: 04 May 2026

https://github.com/epsoft/tensorflow-variables

Tensorflow Variables

numpy tensorflow variables

Last synced: 04 May 2026

https://github.com/kostrykin/blas-benchmark

A benchmark comparison of different BLAS backends for NumPy.

benchmark blas cvxpy mkl numpy openblas python

Last synced: 04 May 2026

https://github.com/flazefy2/ds-global_cybersecurity_threats

https://www.kaggle.com/datasets/atharvasoundankar/global-cybersecurity-threats-2015-2024

data-science data-visualization numpy python squarify statistics

Last synced: 05 May 2026

https://github.com/anupam0202/contextual-rag-chatbot

Contextual RAG Chatbot that processes PDF documents using the Google Gemini API

google-generativeai numpy pypdf2 scikit-learn streamlit

Last synced: 05 May 2026

https://github.com/kiritoind/neural-network-for-cat-image-classification

This script defines essential functions for constructing a deep neural network from scratch for image classification. It includes activation functions like sigmoid and ReLU, data loading from H5 files, parameter initialization, forward and backward propagation for training, gradient descent for parameter updates, and functions for prediction

classification computer-vision deep-learning deep-neural-networks jupyter-notebook numpy python

Last synced: 05 May 2026

https://github.com/rudrakshi99/movie-recommendation-system

Movie recommendation system using machine learning and predict user ratings for the movies.

dataframes machine-learning matplotlib numpy pandas seaborn

Last synced: 07 May 2026

https://github.com/gehad-ahmed30/data-analysis

This repository offers a guide to data visualization with Pandas and includes practical examples and two complete projects. Learn to preprocess, analyze, and visualize datasets to solve real-world problems effectively.

analysis matplotlib numpy pandas python seaborn

Last synced: 07 May 2026

https://github.com/asut00/machine-learning-program_42ai

Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.

linear-regression machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 07 May 2026

https://github.com/ayaanjawaid/brain_stroke_prediction

project aims to predict the likelihood of a stroke based on various health parameters using machine learning models. The dataset is preprocessed, analyzed, and multiple models are trained to achieve the best prediction accuracy.

decision-trees exploratory-data-analysis matplotlib numpy pandas python regression xgboost

Last synced: 07 May 2026

https://github.com/akashash01/akash_linear-regression

This is an linear approach machine learning model used to predict the values of variable(dependent) based on other variables(independent).

anova-test autocorrelation data-science heteroscedasticity linear-regression machine-learning mape multicollinearity numpy pandas python supervised-learning

Last synced: 07 May 2026

https://github.com/jesussantana/ibm-python-for-data-science-py0101en

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general.

data-science numpy pandas python

Last synced: 08 May 2026

https://github.com/aroojzahra908/artifical-intelligence-and-machine-learning-

Explore the basics of linear regression, gradient descent, and AI using Python. Get hands-on with NumPy, pandas, Matplotlib, and scikit-learn for practical learning.

artificial-intelligence gradient-descent linear-regression machine-learning matplotlib numpy pandas scikit-learn-python

Last synced: 08 May 2026

https://github.com/neetigyab/pdfreader

Ready to use Python application/file for parsing a specific format of pdf form, and storing relevant user data in a tabular format in excel sheet

excel forms matplotlib numpy ocr opencv-python pandas pdf pdf-converter pdfplumber pytesseract python

Last synced: 08 May 2026

https://github.com/muhamedayoub/numerical-analysis-project

This repository contains an academic project for the numerical analysis module.

analysis mathematics matplotlib numpy r

Last synced: 09 May 2026

https://github.com/idow09/ud810-problem-sets

Solutions to the problem sets of Introduction to Computer Vision course at Udacity

computer-vision numpy opencv opencv-python problem-sets python solutions udacity

Last synced: 09 May 2026

https://github.com/alexcoder04/image-edit

A Python GUI for basic image editing, school project

fun gui image-editing image-processing numpy pil pyqt pyqt5 python python3 qt sideproject

Last synced: 09 May 2026

https://github.com/haloapping/sharing-tipis-tipis

#sharingtipistipis 📗 catatan ketika belajar machine learning, deep learning dan masih banyak lagi.

caring deep-learning machine-learning numpy pandas scikit sharing

Last synced: 09 May 2026

https://github.com/hemilkaklotar/num-plot

Python Libraries Tutorials for Numpy and Matplotlib

matplotlib numpy patterns python

Last synced: 09 May 2026

https://github.com/alvinmurimi/jumia

Data analysis on smartphones listed on jumia.co.ke

beautifulsoup4 jumia matplotlib numpy pandas scraping seaborn

Last synced: 09 May 2026

https://github.com/abdulfatir/subkmeans

Numpy and pyCUDA implementation of subKmeans

clustering cuda kdd kmeans numpy pycuda python subspace-clustering

Last synced: 09 May 2026

https://github.com/platonn/comp-photography

Computational Photography course - University of Wroclaw

computational-photography image-processing numpy university-course

Last synced: 19 Jun 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/alexsolov28/ml_course

Курс "Технология машинного обучения"

colab-notebooks jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 05 Apr 2025

https://github.com/arn4/labtools

Package with useful scripts for Physics Laboratory Courses

numpy python3 scipy uncertainties

Last synced: 05 Jan 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/abideen-olawuwo/gender-detection

Gender Detection app

cv cv2 numpy

Last synced: 14 May 2026

https://github.com/singhvishal003/stock-price-predict

Stock Price Prediction model using yfinance data .

keras matplotlib numpy pandas yfinance

Last synced: 08 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/shwetapardhi/assignment-1-q11--basic-statistics-level-1

Q11) Suppose we want to estimate the average weight of an adult male in Mexico. We draw a random sample of 2,000 men from a population of 3,000,000 men and weigh them. We find that the average person in our sample weighs 200 pounds, and the standard deviation of the sample is 30 pounds. Calculate 94%,98%,96% confidence interval?

confidence-interval normalization numpy pandas python scipy stats

Last synced: 13 Apr 2026

https://github.com/shwetapardhi/assignment-03-q1--hypothesis-testing

Q1.A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validit

hypothesis-testing numpy p-value pandas python scipy significance-testing stats t-test

Last synced: 11 Apr 2026

https://github.com/gustavo-venceslau/housing-price

A Machine Learning project to create a model to predict housing prices. The project is based on the example in chapter 2 of the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélion Géron

conda machine-learning matplotlib numpy pandas python sklearn

Last synced: 13 Apr 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/bachboy0/montecarlo

Python-based Monte Carlo simulations for statistical analysis and modeling.

monte-carlo-methods numpy python

Last synced: 21 Apr 2026

https://github.com/farhannaeem00/data-visualization-practice

Learning matplotlib fundamentals - seeking feedback and code reviews

jupyter matplotlib numpy pandas python

Last synced: 03 May 2026

https://github.com/ayhem18/tinyad

A simple Python library to better understand automatic Differentiation

automatic-differentiation mathematical-programming numpy python3

Last synced: 29 Apr 2026

https://github.com/hansalemaos/cinpy

C/C++ in Python for Dummies

c cpp ctypes numpy python

Last synced: 13 Apr 2026

https://github.com/alphacrypto246/stock-price-movement-prediction

A project leveraging Polynomial Regression to predict stock price movements based on historical data. Includes data preprocessing, feature engineering, visualization, and model evaluation to provide insights for informed trading decisions.

machine-learning numpy pandas polynomial-regression scikit-learn yfinance

Last synced: 13 Apr 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/ellennewerkla/apriori-analise_cesta_de_mercado

Análise de Cesta de Mercado (Market Basket Analysis) utilizando o algoritmo Apriori para identificar regras de associação entre produtos em um conjunto de transações de supermercado.

apriori-algorithm jupyternotebook marketbasketanalysis mathplotlib mba numpy pandas python3

Last synced: 13 Apr 2026

https://github.com/williamfridh/umu_5tf078_paper_keyboard_tracker

Project exploring how a CNN alongside computer vision can be used to detect drawn keys and track finger input,.

cnn-classification computer-vision keras-tensorflow numpy python tensorflow

Last synced: 07 Jan 2026

https://github.com/shahiakhilesh1304/fitbitcasestudy

This is a case study based on data retrieved from a Fitbit band, and we are making predictions about human behavior based on their mood.

case-study data-visualization fitbit jupyter-notebook numpy python3

Last synced: 13 Apr 2026

https://github.com/preethiphilip/prosper-loan-data-analysis

This project explores the Prosper loan dataset to uncover trends, borrower behaviors, and factors influencing loan performance. Using Python and data visualization techniques, the analysis examines key variables such as credit scores, loan status, income ranges, and debt-to-income ratios to gain insights into credit risk and lending patterns.

jupyter-notebook matplotlib numpy pandas python3 seaborn

Last synced: 13 Apr 2026

https://github.com/miss-mhv/udacityproject_dataviz

Data analysis of a bicycle rental system. The goal is to understand how trips are made according to age, time of year, day of the week, time of day

jupyter-notebook matplotlib numpy pandas python3 seaborn-plots

Last synced: 13 Apr 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/rajsinha7/hand-gesture-recognition

This project serves as a foundation for integrating hand gesture controls into interactive applications like games, presentations, or robotic controls. It features: Real-time hand tracking with MediaPipe Hands and Live visualization of hand landmarks and gesture labels

mediapipe numpy opencv python

Last synced: 13 Apr 2026

https://github.com/mzayles/data-preparation.py

Curso Programação em Python para Data Science | Preparando e tratando dados de uma base de vendas com Pandas e NumPy.

numpy pandas python

Last synced: 03 May 2026

https://github.com/alinenog/desenvolve_gb_2022

Formação Desenvolve 2022 do Grupo Boticário na área de dados

data-analysis data-science googlesheet machine-learning numpy pandas python

Last synced: 13 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/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/shreenidhi7700/auto_price_prediction

We are required to use Machine Learning algorithms to predict the price of cars with the available independent variables such as Horsepower, no-of-cylinders, engine-type, city_mpg, highway_mpg etc.

decision-tree-regression ensemble knn-regression linear-regression machine-learning-algorithms matplotlib-pyplot numpy pandas python3 random-forest-regression regression seaborn xgboost-regression

Last synced: 04 May 2026

https://github.com/furk4nbulut/uygulamalarla-makine-ogrenmesi-ve-derin-ogrenme-atolyesi

Bu repository, Manisa'da gerçekleştirilen BTK Akademi Uygulamalı Makine Öğrenmesi ve Derin Öğrenme Atölyesi'ne ait eğitim sürecini kapsamaktadır. Atölyede katılımcılar, ileri düzey makine öğrenmesi ve derin öğrenme teknikleriyle ilgili teorik ve pratik bilgiler edinmektedir.

matplotlib numpy pandas scikit-learn seaborn

Last synced: 03 May 2026

https://github.com/allanotieno254/pinecone-index-creation-vector-store-database-

This project demonstrates how to create an index in Pinecone, a vector database optimized for similarity search and machine learning applications. The notebook covers setting up a Pinecone client, creating an index, and managing vector data efficiently.

index jupyter-notebook numpy pinecone python

Last synced: 13 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/vasu7052/recognizing-handwritten-digits

This is a machine learning project created in Python using Neural Networks and Supervised Learning Algorithms.

machine-learning machine-learning-algorithms numpy python scikit-learn

Last synced: 13 Apr 2026

https://github.com/felinjob/ibm-applied-data-science-capstone

Este projeto, parte da especialização IBM Data Science Professional Certificate, prevê o sucesso do pouso do Falcon 9 da SpaceX. Usando dados da API da SpaceX e Web Scraping, o projeto inclui análise de dados e Machine Learning para gerar insights sobre os lançamentos.

data-analysis data-science data-visualization ibm jupyter-notebook machine-learning numpy pandas python scikit-learn seaborn sql

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/abrarshahok/electric-vehicle-charging-station-energy-consumption-prediction

With the rapid adoption of electric vehicles, optimizing energy usage at charging stations has become crucial for improving operational efficiency and ensuring customer satisfaction. This tool leverages predictive modeling to forecast energy consumption for charging sessions based on various input features.

matplotlib numpy pandas plotly python3 scikit-learn xgboost

Last synced: 09 Jun 2026

https://github.com/mahdibehoftadeh/polynomial-regression-co2-emissions

A simple machine learning polynomial regression using a large dataset to learn and predict CO2 emission of a car by its built features like engine size and cylinders

machine-learning matplotlib numpy nural-network pandas polynomial-regression python scikit-learn

Last synced: 22 Feb 2026

https://github.com/goessl/adjugate

A package for calculating submatricies, minors, adjugate- and cofactor matrices.

adjugate cofactor determinant inverse linear-algebra matrix minor numpy python submatrix

Last synced: 07 Jan 2026

https://github.com/volf52/deep-neural-net

A simple deep neural net class written to work with Numpy and Cupy

binarized-neural-networks binary-neural-networks bnn cupy deep-learning deep-neural-networks mnist numpy python python3

Last synced: 05 May 2026

https://github.com/debjyotisaha/web-application-projects

Web Applications developed with the help Python libraries and ML algorithms

algorithms cufflinks machine-learning matplotlib numpy pandas prediction python scikit-learn seaborn sklearn streamlit

Last synced: 13 Apr 2026

https://github.com/mehwishferoz/data-analysis-with-python-zero-to-pandas

This repository contains the Python code and projects I created while learning the Data Analysis with Python: Zero to Pandas course. The course covers essential topics such as data cleaning, analysis, and visualization using powerful Python libraries like Pandas, NumPy, Matplotlib, and Seaborn.

exploratory-data-analysis jovian matplotlib numpy pandas seaborn

Last synced: 10 May 2026

https://github.com/prateekrajsrivastav/financial-transition-classification

This project focuses on classifying financial transactions using machine learning techniques. By leveraging labeled data, the model aims to categorize transactions into predefined categories (e.g., "Food," "Transport," "Shopping," etc.).

matplotlib numpy pandas-python scikitlearn-machine-learning seaborn

Last synced: 07 Sep 2025

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