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/msthamizh/industrial-copper-modeling

Developing a Streamlit application that allows users to interactively predict sales outcomes using machine learning. The application supports both regression and classification tasks, enabling users to input various features and receive predictions for selling prices and status (WON/LOST).

exploratory-data-analysis machine-learning mongodb numpy pandas python streamlit

Last synced: 07 Apr 2026

https://github.com/1-harshit/cs203-probabality-in-cs

Assignment submissions of the semester 2021-22-II of course CS203 at IIT Kanpur

numpy python

Last synced: 20 May 2026

https://github.com/thekartikeyamishra/voicecloner

The Voice Cloner is a Python-based project that leverages Tacotron 2 and WaveGlow models for text-to-speech (TTS) synthesis and basic voice cloning. This project supports 22 official Indian languages, including Sanskrit, making it versatile for multilingual text input.

ai indic-transliteration librosa machine-learning numpy nvidia-pyindex nvidia-tacotron2 nvidia-waveglow python torch torchaudio

Last synced: 03 Feb 2026

https://github.com/rushikeshbihade/django_bsased_dataanalyzer_webapp

Data Analyzer is a Django web application that enables users to upload CSV files, perform data analysis using pandas and numpy, and view results and visualizations on an interactive web interface. It simplifies data analysis by offering a user-friendly platform for data upload, processing, and visualization.

backend-development bootstrap css3 dataanalysis dataprocessing django-application django-framework djangotemplates html5 javascript numpy pandas plotly-express python3 seaborn-plots webapp

Last synced: 02 Mar 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: 29 Oct 2025

https://github.com/priyanshubiswas-tech/customer-churn-analysis-eda-

This project analyzes customer churn in a telecom company using Python, Pandas, SQL, and data visualization. It identifies key factors like contract type, payment method, and tenure to provide insights for improving retention. The skills gained are applicable in customer retention, user behavior analysis, fraud detection, and HR analytics.

data-analysis data-visualization dataset explo exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas-dataframe python seaborn seaborn-python

Last synced: 08 May 2026

https://github.com/yuanx749/complex_systems

A Python package for studying complex systems.

jupyter matplotlib networkx numpy pep8 project scipy streamlit

Last synced: 05 Apr 2026

https://github.com/2000pawan/data_science.

Complete Data Science, NumPy, Pandas, Matplotlib, Seaborn, Statistics, Power Bi, Machine Learning.

data-science machine-learning matplotlib numpy pandas powerbi seaborn statistics webscraping

Last synced: 18 Dec 2025

https://github.com/yukti-09/linear-regression

A small code for understanding linear regression.

linear-regression matplotlib mean-squared-error numpy

Last synced: 17 May 2026

https://github.com/FredStober/cpp2numpy

cpp2numpy is a C++ library to write numpy files

c-plus-plus numpy

Last synced: 13 Jul 2025

https://github.com/KernFerm/PresFutImpactSim

This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.

economic-model forecasting matplotlib numpy political-model python scipy simpy simulation social-model

Last synced: 16 Oct 2025

https://github.com/aisurjyasamantaray/customer-purchase-analysis

This project involves an in-depth analysis of customer purchasing behavior and sales performance to drive business insights and strategies.

customer-purchasing customer-segmentation data-visualization dataanalysis dataanalysis-projects marketing-insights matplotlib numpy pandas python revenue-and-performance-analysis seaborn-plots

Last synced: 09 Apr 2026

https://github.com/minhqdao/npy

Read and write NumPy binary files (.npy and .npz formats) in Dart.

array dart dartlang flutter library ndarray npy npz numpy package plugin pub pub-dev

Last synced: 15 Jan 2026

https://github.com/md-emon-hasan/numpy-pandas-matplotlib-seaborn

A collection of tutorials and examples showcasing the usage of Numpy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization.

data-science data-visualization matplotlib numpy pandas python seaborn

Last synced: 06 Apr 2026

https://github.com/codeantik/spam-ham-detector

A machine learning model to detect whether the mails are spam or ham

logistic-regression numpy pandas python sklearn

Last synced: 10 Apr 2026

https://github.com/mirgis/sassy-sandbox

A diverse code collection encompassing Python, JavaScript, Julia, and others, providing a wealth of examples, experiments, and snippets.

android aws bokeh ipynb ipywidgets javascript julia kotlin matplotlib numpy playground python3 r sandbox scipy

Last synced: 02 Apr 2026

https://github.com/ki3mono/naive_bayes_classifier

This project implements Naive Bayes Classifiers for two data types: Multinomial Naive Bayes Classifier and Gaussian Naive Bayes Classifier. Developed as part of the Probability Theory and Statistics course in the second year of Computer Science at AGH University of Krakow.

iris-dataset mushroom-dataset naive-bayes-classifier numpy python scikit-learn

Last synced: 06 May 2026

https://github.com/eljandoubi/landmark-classification-tagging-for-social-media

a CNN-powered app to automatically predict the location of the image based on any landmarks depicted in the image.

cnn-classification numpy pytest pytorch transfer-learning

Last synced: 07 May 2026

https://github.com/yash-rewalia/stock-closing-price-prediction-using-regression

The ultimate business objective is to leverage the regression model to provide accurate predictions of the closing price of AMRN stock, enabling stakeholders to make well-informed investment decisions, manage risks effectively, optimize portfolios, Early warning systems to alert any fraud cases and align investment strategies with financial goals.

datapreprocessing eda hypothesis-testing machine-learning numpy pandas python random-forest regression regression-analysis statistics

Last synced: 12 Apr 2026

https://github.com/nisch-mhrzn/laptop-price-predictor

Predict laptop prices with ease! 🚀 Input specs like brand, RAM, and more to get real-time price estimates using machine learning.

datavisualization machine-learning numpy pandas python seaborn streamlit

Last synced: 09 Apr 2026

https://github.com/letiziaia/dsp_2021

Basic Python code snippets for data science students

data-science numpy pandas python

Last synced: 09 May 2026

https://github.com/quantum-software-development/qiskit

qiskit circuits on IBM Quantum

numpy qbits-circuits quiskit

Last synced: 30 Jul 2025

https://github.com/hansalemaos/cythonflatiter

Locates values in NumPy Arrays with Cython

cython isin iter numpy

Last synced: 15 May 2026

https://github.com/kentlouisetonino/sw-statistics-calculator

A CLI program that compute mean, median, and percentiles.

numpy os python3 statistics

Last synced: 29 Mar 2025

https://github.com/zionc27/computational-art-with-genetic-algorithm

Genetic algorithm to iteratively generate an image resembling an original image

genetic-algorithm numpy photography pillow-library python

Last synced: 17 May 2026

https://github.com/pavankethavath/dominos---predictive-purchase-order-system

This advanced forecasting tool leverages Prophet, ARIMA, SARIMA, and LSTM models to predict daily sales for 32 pizzas and 64 ingredients. With Prophet achieving the lowest MAPE, it ensures accurate demand forecasts, optimized inventory, and efficient purchase planning, reducing waste, preventing stockouts, and enhancing supply chain efficiency.

arima deep-learning eda exploratory-data-analysis forecasting lstm machine-learning mape matplotlib minmaxscaling numpy pandas prediction python sarimax seaborn seasonality tensorflow time-series

Last synced: 08 Apr 2026

https://github.com/jai0212/cash-app-bias-busters

A platform developed with Cash App to help ML engineers detect and visualize biases in models using Fairlearn. Features include a collaborative and interactive dashboard (React, Chart.js), a Flask backend, and a secure MySQL database for data storage and analysis.

bias-detection chartjs fairlearn flask machine-learning mysql numpy pandas pytest python react scikit-learn scipy

Last synced: 16 Feb 2026

https://github.com/ab23ms233/matrix-calculator

A Python-based matrix calculator for performing operations like addition, multiplication, inverse, determinant, eigenvalues, diagonalization, and matrix functions using NumPy, SymPy, and SciPy.

linear-algebra numpy scipy

Last synced: 11 Aug 2025

https://github.com/wyllduck/pygame_escapefromgaia

PYGAME / 2018 / university: ETSEIB-UPC / title: 'Escape from Gaia'

matplotlib networkx numpy pygame python3

Last synced: 08 May 2026

https://github.com/carlolepelaars/skq

Scientific Toolkit for Quantum Computing

numpy python quantum quantum-computing quantum-machine-learning

Last synced: 19 May 2026

https://github.com/hokagem/damagedlogginganalyzer

A project about an analyzation of a statistic of damaged logging (wood) in Germany using Python.

analysis csv csv-parser k-fold-cross-validation numpy pandas pandas-dataframe pandas-python polynomial-regression scikit-learn statistics wood

Last synced: 03 May 2026

https://github.com/tristan296/deepplate

A custom-trained YOLOv11-based license plate detection with PaddleOCR for accurate ANPR.

cv2 numpy paddleocr sqlite3 ultralytics yolov11

Last synced: 04 Apr 2025

https://github.com/szilagyipeter99/imageprocessing

This repository contains the examples discussed in the Image processing practices.

classification image-processing machine-learning matplotlib numpy pillow python segmentation

Last synced: 18 May 2026

https://github.com/melihcanndemir/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: 30 Jul 2025

https://github.com/lioccoumd/news-sentiment-analysis

This scrapes a variety of news stations websites for article titles and evaluates them using distilBERT pretrained model for sentiment analysis.

beautiful datasets distilbert news nltk numpy python pytorch reques scraping-websites sentiment-analysis transformers

Last synced: 16 Feb 2026

https://github.com/dyegopimentel/sentiment-analysis-and-wordclouds-in-python

We developed a sentiment analysis algorithm and at the end we bring a wordcloud to give an overview of what is being said about the topic we are analyzing.

matplotlib numpy pandas python sentiment-analysis tweepy wordcloud

Last synced: 09 May 2026

https://github.com/anish202020/big-data-analysis-mini-project

The primary purpose of this code is to predict wind speed using an LSTM model. The model is trained on historical wind speed data to forecast future values.

keras matplotlib-pyplot numpy pandas sklearn

Last synced: 12 Apr 2026

https://github.com/hamolicious/inversekinematics

Inverse Kinematics implementation in Python and PyGame

inverse-kinematics numpy pygame python

Last synced: 18 May 2026

https://github.com/gokulgowthams/clickstream-customer-conversion

Analyzes clickstream data from an e-commerce platform to predict customer conversions, estimate potential revenue, and segment users for personalized marketing strategies. By leveraging machine learning techniques, the project enhances decision-making for businesses seeking to optimize user engagement and sales.

data-preprocessing feature-engineering machine-learning matplotlib model-deployment numpy pandas pipeline python scikit-learn seaborn streamlit-web-application tensorflow xgboost

Last synced: 07 Apr 2026

https://github.com/reddyprasade/bicycle-sharing-system-in-us

A bicycle-sharing system, public bicycle system, or bike-share scheme, is a service in which bicycles are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" and return it at another dock belonging to the same system. Docks are special bike racks that lock the bike, and only release it by computer control. The user enters payment information, and the computer unlocks a bike. The user returns the bike by placing it in the dock, which locks it in place. Other systems are dockless. For many systems, smartphone mapping apps show nearby available bikes and open docks.

dataanalysis jupyter maplotlib numpy pandas python r

Last synced: 29 Aug 2025

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

Credit card fraud detection through logistic regression.

logistic-regression machine-learning numpy pandas python sklearn

Last synced: 02 Apr 2026

https://github.com/reusjimenez/python-data-analysis

Casos completos y ejercicios prácticos de análisis de datos. 📊

data-analysis data-visualization jupyter-notebook machine-learning matplotib numpy pandas python sklearn

Last synced: 12 Apr 2026

https://github.com/nitsc/spell-from-threebodytrilogy

Implemented the process of extrapolating from Gaia stellar data, to 3D visualizations, to three-views, to three-view signals, to three-view audio of signals, and even their inversions. This project proves the feasibility of the Logic (Luoji)'s “spell” from “The Three Body Problem” trilogy.

3d 3d-graphics astronomy astronomy-astrophysics audio audio-processing data data-science data-visualization gaia graph information-technology information-visualization numpy python python-3 python3 signal signal-processing visiualization

Last synced: 02 May 2026

https://github.com/thomasonzhou/minitorch

rebuilding pytorch: from autograd to convolutions in CUDA

cuda numba numpy

Last synced: 02 Feb 2026

https://github.com/kr1shnasomani/traffisense

A computer vision toolkit for traffic analysis with vehicle detection, speed estimation, segmentation, and number plate recognition.

computer-vision deep-learning neural-network numpy opencv pypi pytorch

Last synced: 12 Apr 2025

https://github.com/cskhomo/scientific-python

Scientific Computation, Data Analysis using Python, Bash, SQL for FreeCodeCamp Courses.

numpy postresql shell-scripting

Last synced: 14 May 2025

https://github.com/patilni3/numpy-in-depth

Python's NumPy Library for Data Analysis, Machine Learning, Data Science and many more...

data-analysis data-engineering data-science machine-learning numpy pandas

Last synced: 10 May 2026

https://github.com/evardnk/dataanalyticsportfolio

Собрание моих проектов по аналитике данных

api automation data-analysis etl-pipeline jupyter-notebook jupyterlab kpis numpy pandas pipeline postgresql powerbi python sql visualization

Last synced: 17 Feb 2026

https://github.com/kientech/crop-recommendation-with-machine-learning

The Crop Recommendation with Machine Learning project is designed to assist farmers and agricultural professionals in selecting the most suitable crops for their specific environmental conditions.

fastapi machine-learning modeling numpy pandas python reactjs sklean

Last synced: 22 Mar 2025

https://github.com/mahnoorsheikh16/credit-card-default-prediction

This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.

encoding hiplot imblearn json knn-imputer logistic-regression matplotlib numpy pandas pca-analysis plotly scipy seaborn sklearn smote streamlit support-vector-machines timeseries-forecasting visualization xgboost-classifier

Last synced: 06 Apr 2026

https://github.com/msadeqsirjani/cinemetrics

This project focuses on analyzing the Netflix dataset to gain insights into the movies and TV shows available on Netflix.

decision-trees jupyter matplot netflix nlp nltk numpy pandas plotty python scikitlearn-machine-learning seaborn sklearn svm

Last synced: 06 Apr 2026

https://github.com/f1scher7/risk-master

RiskMaster is an intelligent platform for individual investors to assess cryptocurrency market risks. It combines historical trend analysis and predictive neural networks - LSTM

custom-implementation dense lstm-neural-networks numpy python streamlit-webapp

Last synced: 18 May 2026

https://github.com/abhilash1910/deepgenerator

Sentence Sequence Transduction Library (Seq to Seq) for text generation using sequential generative Vanilla RNN using numpy

adagrad generativemodeling nlp numpy optimizer rnn seq2seq-model transduction vanilla-rnn

Last synced: 19 May 2026

https://github.com/prayag2003/stock-trend-prediction-lstm-model

My first ML Project on Stock Trend Prediction🚀🚀 The dataset consists of stock opening, closing, high, low data values scrapped from Yahoo Finance from the year 2010 to 2022. The LSTM ( Long Short-Term Memory ) deep learning model shares the idealogy of Time Series.

numpy pandas sklearn stock-trend-prediction

Last synced: 04 Apr 2025

https://github.com/santiagoenriquega/custom_ensemble_learning

This repository focuses on building a random forest classifier and regressor as well as a gradient boosted regressor, building them from scratch using only NumPy for faster array processing.

numpy python python3 random-forest random-forest-classifier random-forest-regressor

Last synced: 15 May 2026

https://github.com/rayyan9477/data-driven-house-price-prediction-and-property-recommendation-app

The app leverages algorithms to accurately predict house prices and recommend similar properties based on a saved dataset through content-based filtering. It is tailored for homebuyers seeking their dream house and real estate investors looking for profitable opportunities, providing powerful insights and data-driven decision-making support.

data-science eda html machine-learning numpy pandas python scikit-learn

Last synced: 06 Apr 2026

https://github.com/vinicius999/eda-basketball-streamlit

Simple web application for viewing, filtering and analyzing Basketball data using Stremlit.

numpy pandas python streamlit webapp webscraping

Last synced: 07 Apr 2026

https://github.com/savitar-hub/image-classification

Notebooks on how image classification can help businesses make better decisions and improve the customer experience.

image-classification image-processing jupyter-notebook numpy opencv pandas pytorch tensorflow

Last synced: 08 Apr 2026

https://github.com/cesarmartinez7/anchorports

Escaneador de puertos hecho en python con la libreria de nmap-python y Scapy.

arp colorama-librairy nmap numpy pyfiglet python python-nmap scapy-library

Last synced: 18 May 2026

https://github.com/xaxtric7/learn-numpy

🧮 Welcome to my NumPy Practice repository! This repo contains my hands-on learning, notes, and code experiments as I dive into the fundamentals and advanced features of NumPy – a powerful library for numerical computing with Python.

numpy pyrhon3

Last synced: 15 May 2026

https://github.com/priyanshgoantiya/ml-from-scratch-without-sklearn

This repository contains machine learning algorithms implemented from scratch using only NumPy—without relying on scikit-learn or other high-level ML libraries. The goal is to provide a deeper understanding of how fundamental machine learning models work under the hood by implementing them step by step.

numpy

Last synced: 15 May 2026

https://github.com/Udacity-MachineLearning-Internship/finding_donors

First stage project at Udacity on the 'Intro to Machine Learning with TensorFlow' program using sckit-learn in python

csv machine-learning matplotlib numpy pandas python sckiit-learn seaborn sklearn udacity udacity-nanodegree

Last synced: 17 Jul 2025

https://github.com/apoorva-info/cognitive-load-using-blink-rates

Analyzing blink rates and task performance to measure cognitive load during digital span tasks using a custom Python tool.

matplotlib numpy pandas python

Last synced: 08 Apr 2026

https://github.com/bl0nder/regressify

A multi-task neural network coded from scratch that performs simultaneous regression and classification.

classification deep-learning multitask-learning neural-networks numpy regression

Last synced: 15 May 2026

https://github.com/machinelearningprodigy/covid-19-detection-system

It is a Flask-based web application that predicts the likelihood of COVID-19 infection based on user symptoms. The app utilizes a K-Nearest Neighbors (KNN) model trained on relevant medical features to assess COVID-19 risk.

algorithms feature-engineering flask machine-learning numpy pandas scikit-learn

Last synced: 20 Apr 2026

https://github.com/yeetooq/pivaldi_telegram_bot

An unofficial bot for the Pivaldi restaurant that provides easy access to the menu, order placement, and current promotions. Plus, enjoy entertainment features like games, cryptocurrency rates, jokes, weather updates, and more!

aiocache aiogram aiohttp aiosqlite beautifulsoup4 geopy numpy requests sqlalchemy

Last synced: 05 Apr 2025

https://github.com/lbirkert/digit-recognition

[from-scratch] feed forward neural network that can recognize handwritten digets

feedforward-neural-network machine-learning numpy python

Last synced: 19 May 2026

https://github.com/dmarks84/ind_project_california-housing-data--kaggle

Independent Project - Kaggle Dataset-- I worked on the California Housing dataset, performing data cleaning and preparation; exploratory data analysis; feature engineering; regression model buildings; model evaluation.

cross-validation data-modeling data-reporting data-visualization eda folium grid-search matplotlib model-evaluation numpy pandas pca python seaborn sklearn statistics supervised-ml unsupervised-ml

Last synced: 08 Apr 2026

https://github.com/amritakaur-08/smart_attendance_system

The Smart Attendance System is designed to automate the attendance process using facial recognition. Traditional methods of taking attendance can be time-consuming and prone to errors. This project aims to streamline the process by leveraging computer vision technology, allowing for efficient, contactless, and accurate attendance tracking.

asgiref django mysql numpy opencv pillow-library python sqlparse

Last synced: 08 Apr 2026

https://github.com/andystmc/nextflownyc

Developed a machine learning model (Bidirectional LSTM) to forecast NYC traffic volumes using 10 years of automated traffic count data. Achieved strong predictive accuracy, demonstrating the power of deep learning for urban traffic analysis.

data-analysis data-cleaning data-science data-visualization exploratory-data-analysis feature-engineering hyperparameter-tuning jupyter-notebook lstm-neural-networks machine-learning numpy pandas predictive-modeling python3 scikit-learn tensorflow-keras traffic-flow-forecasting

Last synced: 07 Apr 2026

https://github.com/yashuv/numpy-for-data-science

A well structured practical deep dive into functional programming in NumPy.

ipynb-notebook numpy python3

Last synced: 28 Oct 2025

https://github.com/drcbeatz/aynm-data

Python scripts for data cleaning and processing for AYNM (Pandas/NumPy/Selenium/AWS Textract)

automation aws-textract csv data-analysis data-cleaning ipynb numpy ocr pandas python reverb selenium shopify webscraping xml

Last synced: 07 Mar 2026

https://github.com/iamshatha/disease-symptom-analysis

The data file defines the relationship between different symptoms and possible diseases

analysis dataset disease matplotlib numpy python symptoms

Last synced: 07 May 2026

https://github.com/f1scher7/ai-tutorial

Learning neural networks by building custom implementations for various problems

machine-learning neural-networks numpy python

Last synced: 16 May 2026

https://github.com/shriram-vibhute/realestateforecast-price-prediction-system

This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.

exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn

Last synced: 07 Apr 2025

https://github.com/theanujsinha01/rainfall-prediction-using-machine-learning

This project predicts whether it will rain or not based on weather features like pressure, humidity, dew point, cloud cover, sunshine, wind direction, and wind speed. We use a Random Forest Classifier, a popular ML algorithm, trained on historical weather data. The model learns patterns and helps us forecast rain chances.

classification data-analysis eda machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn supervised-learning

Last synced: 11 Apr 2026

https://github.com/ahmednurabdii/data-analytics-portfolio-superstore

My first portfolio project showcasing data cleaning, analysis, and visualization of Superstore sales data.

data-analysis data-visualization jupyter-notebook matplotlib numpy pandas portfolio-project python sales-analysis scipy seaborn superstore-dataset

Last synced: 07 Apr 2026