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/naveen88112/vehicle-routing-problem

Vehicle Routing Problem (VRP) Solver This project applies a Genetic Algorithm (GA) to optimize the Vehicle Routing Problem (VRP). This is done for more than one vehicle to ensure delivery routes that save travel distance and increase efficiency.

deap genetic-algorithm matplotlib numpy python vehicle-routing-problem

Last synced: 13 Apr 2026

https://github.com/sohitbennett/roadsafe

A Deep learning computer vision system for real-time traffic safety monitoring.

computer-vision esrgan keras numpy pandas python scikit-learn tensorflow tesseract-ocr yolov5 yolov8

Last synced: 08 Apr 2026

https://github.com/ianhaggerty/final-capstone

This represents the final capstone project in my HyperionDev Data Science (fundamentals) course. A dataset of Amazon customer reviews is analysed using natural language processing.

amazon data-analytics data-science data-visualization dataset matplotlib nlp nlp-machine-learning numpy pandas plotly reviews seaborn spacy tabulate textblob wordcloud

Last synced: 19 Jan 2026

https://github.com/farhannirzhor/python_eda_project_on_diwali_sales_analysis

In this project, I was given a sales data. I analyzed their sales data and shared a summary

data-cleaning data-manipulation exploratory-data-analysis matplotlib numpy pandas python seaborn

Last synced: 04 May 2026

https://github.com/pedrolustosa/energyforecasting

This project offers a complete solution for solar energy generation analysis and forecasting, using different machine learning models and a modern, intuitive web interface.

artificial-intelligence axios bootstrap5 chartjs css data-science fastapi fontawesome html5 numpy pandas python r react react-bootstrap rpy2 sklearn spinner toastr typescript

Last synced: 04 Apr 2026

https://github.com/alisonmitchell/titanic

Exploration of a subset of the Titanic passenger manifest to create a predictive classification model to determine which passengers were more likely to survive.

deep-learning keras machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn tensorflow

Last synced: 14 Apr 2026

https://github.com/massimilianovisintainer/rock-vs-mine-prediction

Rock vs. Mine classification using Logistic Regression

machine-learning model numpy pandas sklearn

Last synced: 21 Jan 2026

https://github.com/ramchaik/cinebrain

CineBrain uses ML & NLP to analyze movies and recommend similar ones based on user preferences through cosine similarity.

cosine-similarity flask htmx kaggle machine-learning movie-recomendation-system nlp nltk numpy pandas sklearn tailwind tmdb tmdb-api unsupervised-learning vectorization

Last synced: 19 Jan 2026

https://github.com/lorenzorottigni/ml-breast-cancer

Machine Learning python bootcamp: Support Vector Machines using breast cancer dataset

ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines

Last synced: 14 Apr 2026

https://github.com/charancholaveti/imdb-sentimentanalysis

IMDB Movie Review Sentiment Analysis-It will give the sentiment of the review whether it is Positive or Negative

deeplearning keras numpy rnn-tensorflow tensorflow

Last synced: 14 Apr 2026

https://github.com/chaakshay/heartdrive

A Streamlet-based tool that analyzes cardiovascular health data, predicts population risk using ML, and suggests targeted government actions like awareness campaigns, health checkups, and policy changes.

csv mathplotlib numpy pandas pandas-dataframe python scikit-learn seaborn streamlit

Last synced: 05 Apr 2026

https://github.com/ricky9667/taiwanoceantrashpredict

A very simple DNN project using Keras.

dnn keras numpy python

Last synced: 14 Apr 2026

https://github.com/sabbir45ali/cam-board

This is Python based project which is a virtual board and we write there using our finger and clear it and color changing.

numpy pandas python3

Last synced: 14 Apr 2026

https://github.com/ashutosh65000/invisible-cloak

Have you watched the Harry potter movie? The Invisible Cloak scene pushed me to make this small code.

image-processing numpy opencv-python

Last synced: 19 Apr 2026

https://github.com/zahediparsa/nlp_ta_uok

This repository contains exercises designed for students in the Natural Language Processing (NLP) course at the University of Kurdistan, taught by Dr. Fatemeh Daneshfar. The course took place from February 2024 to July 2024.

cbow jupyter-notebook matplotlib nlp nltk numpy pandas python tf-idf

Last synced: 19 Jan 2026

https://github.com/jonad/quora_w2v

In-domain word embedding using Quora dataset.

gensim-word2vec matplotlib numpy pandas python3

Last synced: 11 Apr 2026

https://github.com/gerlero/generala

🎲 Probabilistic tool for the dice game of Generala

generala numpy python

Last synced: 27 Jan 2026

https://github.com/avik-pal/kaggle-titanic

Predicting whether a given set of people survive on the Titanic

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 14 Apr 2026

https://github.com/pedrosfaria2/analisetitulosnetflix

Estudo de popularidade dos filmes da Netflix no IMDB.

analise-de-dados data-analysis jupyter-notebook matplotlib numpy pandas python

Last synced: 14 Apr 2026

https://github.com/gregoritsch3/ml_eda_classification_diabetes

An EDA and Machine Learning Classification exercise on the Diabetes dataset demonstrating the use of SQLAlchemy data import from an SQL database (PostgreSQL), Pre-processing Pipelines, ANOVA, 9 ScikitLearn ML models, Hyperparamter Tuning for the best performing one, and feature importance.

anova machine-learning matplotlib numpy pandas pipelines scikit-learn seaborn sql sqlalchemy statistics

Last synced: 14 Apr 2026

https://github.com/cosmoquester/numpy-neural-net

This is neural network samples implemented with numpy without machine learning libraries.

implementation neural-network numpy

Last synced: 22 Jan 2026

https://github.com/sunilvarma-l/liverdiseaseprediction

"Streamlit app to predict liver disease risk using a machine learning model based on patient input data."

machine-learning matplotlib numpy pandas pickle python scikit-learn seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/neelays/xor-xnor_neural_network

NumPy neural network to approximate XOR/XNOR

numpy

Last synced: 15 May 2026

https://github.com/fanisgl/cnn_machine_learning

A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.

data-science keras machine-learning neural-networks numpy pandas pooling-layers relu softmax tensorflow2

Last synced: 24 Feb 2026

https://github.com/muhammadshavaiz/hand-sketch-recognition--inceptionv3

The Hand Drawn Sketch Classification project uses PyTorch to classify hand-drawn sketches. It evaluates model Inception_v3, with Inception_v3 achieving the highest accuracy of 57%. The repository features scripts for dataset management, model training, and evaluation.

inception-v3 matplotlib numpy pandas python pytorch

Last synced: 14 Apr 2026

https://github.com/sun-data/ndoptimize

Numba-accelerated minimization of objective functions.

astropy minimization numba numpy optimization scientific-computing

Last synced: 27 Jan 2026

https://github.com/shuyib/pimadlkeras

Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.

diabetes hidden-layers keras-neural-networks matplotlib-figures model-validation numpy pima-indians-dataset prediction predictive-modeling python-3-5 seaborn

Last synced: 15 Mar 2026

https://github.com/bilgenurbekar/turkishcyberbullying

Contains fine-tuned BERT models and results in the text classification category using Turkish social media data

bert-fine-tuning huggingface-transformers matplotlib numpy pandas python pytorch scikit-learn transformers

Last synced: 07 Mar 2026

https://github.com/satyacoder29/crm-analytics-power-bi

CRM Analytics Dashboard – An interactive dashboard using Tableau, SQL, and Salesforce CRM Analytics (CRMA) to analyze sales performance, customer segmentation, and churn prediction. Features automated ETL pipelines, predictive analytics, and real-time insights for data-driven decision-making. 🚀📊

advanced-excel data-analysis data-cleaning data-collection data-transformation data-visualization matplotlib numpy pandas powerbi python seaborn sql tableau

Last synced: 14 Apr 2026

https://github.com/apbetioli/neural-network

A simple neural network implementation

machine-learning neural-network numpy python3

Last synced: 29 Apr 2026

https://github.com/miasanromen/math-modeling

Math modeling with Python. Statistics, math, graphics

math matplotlib numpy probality-theory scipy-stats statistics

Last synced: 14 Apr 2026

https://github.com/adriantomin/bulldozer-price-prediction

Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.

data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 23 Jan 2026

https://github.com/tugot17/neural-network-from-scratch

Simple neural network implemented from scratch using numpy package

from-scratch neural-network numpy python

Last synced: 26 Oct 2025

https://github.com/sonaligill/olympics-analysis

The outcome of this project is an interactive streamlit web application that visualizes the analysis of Olympic data while rendering different aspects of Olympic history, compare country performances, and gain insights into athlete demographics.

numpy plotly python scikit-learn scipy streamlit

Last synced: 28 Jan 2026

https://github.com/lavkalsi/creditcardfrauddetector

Credit Card Fraud Detector is a React web app that predicts if a credit card transaction is fraudulent using a Python machine learning model. Users can input transaction data, and Flask facilitates communication between the backend and frontend. Backend files are located in the res folder. This app provides simple UI for user interaction.

fraud-detection machine-learning nodejs numpy pandas python reactjs sklearn-library

Last synced: 15 Apr 2026

https://github.com/jaybfn/single-molecule-electrophysiology-data-analysis

Pynanopore serves as a sophisticated toolkit for analyzing single molecules, designed to interpret complex states within nanopore data automatically.

docker numpy pandas plotly pytest python3 streamlit streamlit-webapp

Last synced: 28 Jan 2026

https://github.com/shwetapardhi/assignment-03-q5--hypothesis-testing

Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of

alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing null-hypothesis numpy pandas python scipy significance-testing stats

Last synced: 28 Jan 2026

https://github.com/matheusafonseca/c213-trabalho-1

Repository dedicated to storing and managing the first assignment for C213 - embedded systems.

matplotlib numpy pid-controller python scypi streamlit

Last synced: 29 Jan 2026

https://github.com/asherk7/house-price-prediction

House Prices - Advanced Regression Techniques - Predict sales prices and practice feature engineering, RFs, and gradient boosting

data-science numpy pandas regression scikit-learn

Last synced: 15 Apr 2026

https://github.com/jaypanchal9/fraud-detection-case-study

A comprehensive case study applying machine learning techniques to detect fraudulent transactions effectively.

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

Last synced: 15 Apr 2026

https://github.com/muhkartal/fr-photo

face-recognition system works on images first of all you need to register valid image as recognition

face-recognition numpy opencv pillow python streamlit

Last synced: 15 Apr 2026

https://github.com/itssahilwhat/ai-fundamentals

A curated collection of fundamental AI concepts, algorithms, and code implementations — including Machine Learning, Deep Learning, and Computer Vision — built from scratch and with practical examples.

computer-vision deep-learning machine-learning numpy pandas python pytorch scikit-learn

Last synced: 15 Apr 2026

https://github.com/hossein-cod/practicing-deep-learning

with keras data set we load a data base and train our machine for test

deep deep-learning jupyter-notebook keras machine-learning matplotlib numpy py python sklearn tensorflow

Last synced: 25 Feb 2026

https://github.com/ayuub34/siesta-smart

This project is designed to be a AIaaS 2-Way-PMS optimized with AI and ML models. The goal is to enhance the efficiency of the system through advanced technology solutions.

ai data-analysis-python data-processing data-science jupyter-python machine-learning matplotlib numpy pandas powerbi-report pyqt5 scipy seaborn sklearn

Last synced: 25 Feb 2026

https://github.com/moh-27sl/image-alignment--python-edition

Alignment of an unaligned image with a base/reference image using feature detection, feature matching, and homography in OpenCV.

ai classical-computer-vision classical-image-processing computer-vision computervision image-alignment image-processing imageprocessing neural-network numpy opencv python python3

Last synced: 15 Apr 2026

https://github.com/ankitpundir7/group-face-emotion-recognition

This project can identify and categorize human emotions in both static and dynamic context. Duration : Jun 2023 - Jul 2023

convolutional-neural-networks deep-learning keras machine-learning-algorithms numpy opencv python tensorflow

Last synced: 07 Feb 2026

https://github.com/pedrohenriquebr/pegasus

Finance Reporting Automation

excel finance financial numpy pandas python python3 report

Last synced: 15 Apr 2026

https://github.com/chandkund/sentiment-analysis-on-movie-reviews

Project on Sentiment Analysis of Movie Reviews using K-means clustering. This project clusters movie reviews based on their sentiment scores to understand audience reactions. Includes data preprocessing, feature selection, model development, and visualization.

data-science eda jupyter-notebook machine-learning matplotlib numpy pandas preprocessing python sklearn

Last synced: 01 Feb 2026

https://github.com/luizabash/wmap-tt-eda

EDA of the WMAP 5-Year TT Power Spectrum data, the analysis includes summary statistics, data visualization, polynomial regression for model fitting, and hypothesis testing

astrophysics matplotlib numpy pandas scipy

Last synced: 01 Feb 2026

https://github.com/vladimiracunadev-create/python-data-science-program

Python Data Science Program — 197 clases en 9 partes. Pauta avanzada derivada de Géron, VanderPlas, Huyen, ISLP y Barocas/Hardt/Narayanan. Recurso personal de aprendizaje, enseñanza y mejora continua.

bootcamp data-analysis data-science education jupyter machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 01 Jun 2026

https://github.com/luisall12/fraud-detection-machine-learning-python

Fraud detection system that recognises and signals strange transactions using machine learning

detection flask fruad html numpy pandas python ui

Last synced: 15 Apr 2026

https://github.com/r-papso/pynet

Deep learning library implemented in Python

deep-learning machine-learning neural-network numpy python

Last synced: 26 Feb 2026

https://github.com/giihcastro/trabalho-fisica

3D VPython Electromagnetic Particle Motion Simulator

numpy python vpython

Last synced: 15 Apr 2026

https://github.com/smahala02/materials-science-introduction

Introduction to Materials Science concepts using Python for array manipulation and visualization with NumPy and Matplotlib.

data-visualization materials-science matplotlib numpy python scientific-computing

Last synced: 09 Feb 2026

https://github.com/khinthandarkyaw98/python_for_engineers

This particular Python notebook is designed to provide Engineers with an opportunity to practice scientific computations.

engineering numpy python scientific-computing youtube

Last synced: 16 Apr 2026

https://github.com/walkerdustin/python-linear-regression

simple linear regression in python based on coursera andrew ng course

ai linear-regression machine-learning ml numpy python

Last synced: 05 May 2026

https://github.com/mouradhamzaoui/tweets_sentiments_emotions_analysis

Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle

nltk numpy pandas sklearn

Last synced: 16 Apr 2026

https://github.com/shakhthi/mlproject

This project is an end-to-end ML solution that predicts math scores from student attributes. It starts with ingesting and preprocessing data, followed by feature engineering to pinpoint key predictors. A robust model is then trained and fine-tuned before being seamlessly deployed to deliver real-time predictions.

jupyter-notebook matplotlib-pyplot numpy pandas python3 seaborn sklearn

Last synced: 16 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_09

Модуль 9. Підбір гіперпараметрів НМ. Глибоке навчання. Tensorflow. Keras.

adam-optimizer data-science google-colab keras keras-tensorflow numpy python

Last synced: 16 Apr 2026

https://github.com/vgvr0/analisis-de-datos-con-streamlit-numpy-pandas-y-matplotlib

Sistema completo de análisis y visualización de datos cinematográficos que proporciona insights detallados sobre películas, incluyendo análisis financiero, puntuaciones, tendencias temporales y un sistema de recomendación. Desarrollado con Python y Streamlit, ofrece una interfaz interactiva y amigable para explorar datos de películas.

matplotlib numpy pandas plotly plotly-dash recommendation-system streamlit

Last synced: 16 Apr 2026

https://github.com/limix/ndarray-listener

Implementation of the Observer pattern for NumPy arrays.

numpy observer-pattern

Last synced: 14 Feb 2026

https://github.com/justin-marian/numpy-mlp

MLP from-scratch implementation only with NumPy, it supports regression and classification tasks.

classification lasso mlp numpy r2-score regression ridge

Last synced: 16 Feb 2026

https://github.com/jessicahora/studies-on-linear-algebra

Repositorio com Estudos sobre Algebra Linear.

linalg linear-algebra matplotlib-pyplot matrix numpy python scipy

Last synced: 01 Mar 2026

https://github.com/hafidaso/predicting-industrial-machine-downtime-level-3

This project aims to develop a predictive model using machine learning techniques to forecast machine failures based on historical operational data.

imbalanced-learning numpy pandas python scikit-learn seaborn xgboost

Last synced: 16 Apr 2026

https://github.com/sasanka14/water_quality_predictions

Water Quality Prediction - College Project 🌊💧 Predicts water potability (safe/unsafe) using ML models like XGBoost & Random Forest. Features data preprocessing, feature importance, model evaluation, and visualizations. Built with Python, Pandas, Scikit-learn & Seaborn for analysis. 🚀

anaconda jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn xgboost

Last synced: 16 Apr 2026

https://github.com/pramodyasahan/health-insurance-cost-prediction

This project focuses on predicting health insurance costs using a polynomial regression model. By employing machine learning techniques in Python, the project aims to accurately estimate insurance costs based on various personal attributes. The model takes into account several features including age, sex, BMI, number of children, smoking status etc

machine-learning matplotlib numpy pandas python3 scikit-learn

Last synced: 16 Apr 2026

https://github.com/urvee1810/air-quality-prediction-using-arima

Analyzed Beijing's air quality data using time series analysis and ARIMA modeling to forecast PM2.5 pollution levels. Identified seasonal patterns and correlations between pollutants, revealing insights into urban air quality trends and potential contributing factors.

arima-model dickey-fuller-test matplotlib numpy pandas python seaborn statistical-analysis time-series-analysis

Last synced: 16 Apr 2026

https://github.com/costrouc/xnd-notebooks

A collections of notebooks that demonstrate xnd, ndtypes, and gumath features

binder gumath ndtypes notebooks numba numpy xnd

Last synced: 16 Apr 2026

https://github.com/magnusrodseth/disaster-tweets

📚 Assignments in the course IT3212 - Data Driven Software at NTNU. Our task is to classify whether a tweet is related to a disaster or not.

adaboost jupyter-notebook logistic-regression numpy pandas python python3 random-forest support-vector-machines xgboost

Last synced: 16 Apr 2026

https://github.com/bzubs/mlzero

Implementation of widely used ML algorithms in vanilla python

machine-learning machine-learning-algorithms machinelearning numpy python statistics

Last synced: 03 Mar 2026

https://github.com/thekartikeyamishra/customer-retention-predictor

The Customer Retention Predictor is a Python-based tool designed to help businesses predict customer churn using historical data. This project is particularly beneficial for small businesses and MSMEs in India, allowing them to identify customers at risk of leaving and take proactive measures to retain them.

joblib machine-learning numpy pandas python scikit-learn tinker

Last synced: 16 Apr 2026