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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/alz-11/ftoc

Fahrenheit to Celsius conversion analysis, comparing accurate and approximate methods with visualizations and error analysis.

approximation celsius conversion data-visualization error-analysis fahrenheit fahrenheit-to-celsius jupyter jupyter-notebook matplotlib numpy python python-3 python3

Last synced: 08 May 2026

https://github.com/moustafamohamed01/data-analysis-ecommerce-purchases

Data Analysis : Analyzing (Ecommerce Purchases) dataset from Kaggle

jupiter-notebook numpy pandas python

Last synced: 08 May 2026

https://github.com/sahil210695/numpy-basics

A brief overview of NumPy basics

data-science numpy numpy-tutorial python

Last synced: 08 May 2026

https://github.com/omogbolahan94/movies-budget-revenue-analysis

Data exploration, data cleaning, data analysis and predictive analysis

dataframe linear-regression matplotlib numpy pandas seaborn statistical-analysis

Last synced: 08 May 2026

https://github.com/samaalharbi2/100-days-of-code

This repository is a collection of 100 Python projects built as part of the "100 Days of Code: Python Developer Challenge" course.

data-science game-development machine-learning numpy pandas python udemy

Last synced: 08 May 2026

https://github.com/ishaan28malik/masters-admission-analyser

Admissions of Indian students for foreign universities.

admission classification machine-learning matplotlib numpy python students

Last synced: 08 May 2026

https://github.com/chdl17/credit-eda-casestudy

Credit EDA is a GitHub repository designed to provide educational materials and tools for exploring credit risk data. The repository contains notebooks, datasets, and code samples to help users learn and apply these concepts to credit data.

exploratory-data-analysis numpy pandas

Last synced: 08 May 2026

https://github.com/satvikpraveen/numpymasterpro

A hands-on, production-ready toolkit to master NumPy — from first principles to real-world applications. Includes modular Jupyter notebooks, reusable utility scripts, cheatsheets, and advanced projects like K-Means clustering from scratch.

broadcasting data-analysis data-science data-source data-visualization jupyter-notebook kmeans-clustering linear-algebra machine-learning matrix-algebra numerical-computation numpy numpy-broadcasting numpy-examples numpy-tutorial open-source python scientific-computing standardization vectorization

Last synced: 08 May 2026

https://github.com/saurabh274/aerofit-statistics-and-probability

The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.

matplotlib-pyplot numpy pandas probability python seaborn statistics

Last synced: 08 May 2026

https://github.com/nova-land/kalmanfilter-python

Kalman Filter in PyTorch and Numpy

kalman-filter numpy python pytorch

Last synced: 08 May 2026

https://github.com/icejan/predicton-systems

Various systems that train on data and generate a prediction

lightfm machine-learning numpy python scikit-learn

Last synced: 08 May 2026

https://github.com/amiralisajadi/image-classification-neural-network

Custom deep learning model for binary image classification. Entirely built from scratch in Python with NumPy, including all ML functions, activations, and optimizations.

deep-learning image-classification image-classification-model machine-learning neural-networks numpy

Last synced: 08 May 2026

https://github.com/ditikrushna/identify-customer-segments

In this project, Bertelsmann partners AZ Direct and Arvato Financial Solutions have provided two datasets one with demographic information about the people of Germany, and one with that same information for customers of a mail-order sales company. I have looked at relationships between demographics features, organized the population into clusters, and saw how prevalent customers are in each of the segments obtained.

clustering clustering-algorithm numpy pca

Last synced: 08 May 2026

https://github.com/diegodscamara/whisperlive

🎙️ WhisperLive: Real-time audio transcription powered by OpenAI's Whisper model. Convert live speech to text with high accuracy, supporting multiple languages and real-time processing. Perfect for accessibility, content creation, and live captioning.

ai blackhole numpy python wave whisper

Last synced: 09 May 2026

https://github.com/shingiraibhengesa/house-price-predictor

A machine learning project that predicts house prices based on user input features such as square footage, number of bedrooms, and more.

machine-learning-models matplotlib numpy python scikit-learn seaborn

Last synced: 09 May 2026

https://github.com/ly16302/mask

mask generation library for wyvern

f2py fortran mpi4py numpy openmp testing

Last synced: 21 Mar 2025

https://github.com/rakibhhridoy/appliedmachinelearninghousing-regression

Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.

deep-learning housing-market housing-prices machine-learning numpy pandas python real-estate regression scikit-learn

Last synced: 05 Apr 2026

https://github.com/hamishivi/denserflow

A basic numpy neural net library. This achieved high marks in a uni assignment!

deep-learning neural-network numpy

Last synced: 18 May 2026

https://github.com/johanntf/direccion_maximo_crecimiento

Dirección de máximo crecimiento en una función multivariable dado un punto de partida

customtkinter matplotlib numpy python

Last synced: 18 May 2026

https://github.com/sanjanahombal/study-on-sentiment-analysis

This project explores the optimal combination of Bag-of-Words and TF-IDF vectorization with Naive Bayes and SVM for sentiment analysis. It evaluates performance using accuracy, precision, recall, and F1-score, addressing ethical concerns like data privacy and bias to improve sentiment classification in real-world applications.

bag-of-words confusionmatrix googlecollab gridsearch-crossvalidation matplotlib-pyplot naive-bayes-classifier numpy pandas seaborn sklearn svm-classifier tfidf-vectorizer

Last synced: 07 Jan 2026

https://github.com/sultanazhari/customer-habit-analysis-model

Megaline company wants to develop a model that can analyze consumer behavior and recommend one of Megaline's two new plans: Smart or Ultra. In this classification task, we need to develop a model that is able to choose the right package

accuracy-score decision-tree-classifier logistic-regression matplotlib-pyplot numpy pandas python3 random-forest-classifier seaborn train-test-using-sklearn

Last synced: 11 Apr 2026

https://github.com/lefteris-souflas/economic-connectedness-analysis

Jupyter notebook, replicating studies on social capital from Nature journal, analyze economic connectedness, upward income mobility, and more. Python and relevant datasets are utilized to recreate figures and analyses.

analytics choropleth-map json jupyter-notebook matplotlib matplotlib-pyplot numpy pandas plotly-express python3 regplot scatterplot seaborn stata visualization

Last synced: 07 Apr 2026

https://github.com/santiagoenriquega/custom_neural_net

This repository focuses on building a neural network from scratch using only base python and Numpy.

gradient-descent neural-network numpy optimization python

Last synced: 18 May 2026

https://github.com/toon-van-berkel/imagetovideofx

ImageToVideoFX is a simple Python project that takes an image (JPG/PNG) and transforms it into a short video with a smooth zoom effect. You can optionally add background music. This is perfect for content creators or developers who want to automate turning images into engaging video content.

imagetovideo moviepy numpy pillow python

Last synced: 08 May 2025

https://github.com/trups39/nyc-green-taxi-trip-analysis

Analyze NYC Green Taxi data, predicting fares and optimizing pickup locations using Regression machine learning models uncover travel patterns.

numpy pandas predictive-modeling python3 regression-models skit

Last synced: 17 Feb 2026

https://github.com/christabelsakyi/employee_attrition_prediction

This project implements a machine learning pipeline for predicting employee attrition using HR data. The system analyzes various factors that contribute to employee turnover and provides predictions to help HR departments take preventive measures.

machine-learning numpy pandas plotly python sklearn streamlit

Last synced: 09 Apr 2026

https://github.com/dor-sketch/audio-visual-synth

Combining real-time graphics, audio synthesis, and interactive elements to create an engaging, cross-platform music visualizer.

image-processing midi-player music-composition musicsheet notes-tool numpy pygame pygbag pyopengl

Last synced: 18 May 2026

https://github.com/rajesh9943/developing-a-bike-buyer-sales-report-dashboard-using-excel

This dataset has details of 1000 users from different backgrounds and whether or not they buy a bike. This data can be used to build the dashboard in Google Sheets. There are some NA (Null / Empty) values injected in the dataset. Use this dataset for Data Cleaning, Exploration, and Visualization.

excel google-sheets numpy pandas-library python3

Last synced: 17 May 2026

https://github.com/yash22222/analysis-of-amcat-aspiring-minds

Analyzing employment outcomes for engineering graduates based on a provided dataset. Specifically, it aims to verify a claim regarding the salary range for fresh graduates in certain engineering roles and investigate potential relationships between gender and specialization preferences.

amcat aspiring-minds charts computer-engineering data-analytics data-vizualisation dataset graph machine-learning matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/yesenvidnath/facerecognito-pythonfacialrecognitionapplication

this is a web application created to detect faces using a pre-given image links through Excel format, this project uses Pytorch & Flask

facent flask numpy python

Last synced: 10 Apr 2026

https://github.com/dvamishkilapa/xolm2_py

Ported Xolm2 VSU

mathplotlib numpy pyqt5

Last synced: 23 Oct 2025

https://github.com/biocpy/mopsy

Matrix operations

matrix numpy scipy

Last synced: 07 Mar 2026

https://github.com/wondermongering/nonlineardatagen

A flexible Python framework for generating, fitting, and visualizing noisy nonlinear data. Perfect for educational purposes, algorithm testing, and demonstrating statistical concepts. Includes tools for various noise models, custom function fitting, robust error metrics, and publication-quality visualizations

curve-fitting data-simulation data-visualization education educational-tool interpolation mathematical-modelling matplotlib noise-modeling numpy regression-analysis scientific-computing scipy signal-processing statistics teaching-resource time-series-analysis

Last synced: 22 Aug 2025

https://github.com/aminkhavari78/-maternal-health-risk-data-set

In this part I'm working on Maternal Health Risk Prediction

data-science linearsvc machine-learning matplotlib numpy pandas scatter-plot sklearn

Last synced: 05 May 2026

https://github.com/kr1shnasomani/facetronix

A toolkit for face detection, annotation, and mask recognition.

computer-vision deep-learning keras neural-network numpy opencv tensorflow

Last synced: 05 Apr 2026

https://github.com/yalai92/master_academic_projects

This repository is dedicated to showcasing the academic projects completed during my Master in Data Science & AI. The main objective is to show a collection of projects in various data science fields, including: data cleaning & preprocessing, data analysis, data visualization, machine learning, clustering, among others.

automation clustering data-merging google-colab jupyter-notebook machine-learning matplotlib numpy pandas powerbi python sklearn xgboost

Last synced: 13 Jun 2025

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

A modular and extensible face recognition framework featuring real-time detection, facial landmark analysis, and recognition with API support.

dlib face-recognition fastapi numpy opencv pillow pydantic python-multipart requests scipy uvicorn

Last synced: 13 Apr 2026

https://github.com/nikhilfuke1/movies-recommendation-system-python-project-

This project is a simple movie recommendation system built using Python. It suggests movies based on the similarity of titles and a predefined similarity score matrix.

difflib numpy pandas python sklearn

Last synced: 30 Dec 2025

https://github.com/guifernandess7/ciencia-de-dados-e-ml-notebooks

Notebooks com uso dos módulos Pandas, Numpy e Matplotlib para análise de dados e criação de gráficos e tensorFlow e seaborn para machine learning e visualização

machine-learning matplotlib numpy pandas python tensorflow

Last synced: 04 Apr 2026

https://github.com/lgope/book-recommender-system

Book recommender system a Collaborative Filtering Based Recommender System using Machine Learning, Numpy, Pandas Python, Flask, Kaggle Dataset

collaborative-filtering flask html-css jupyter-notebook kaggle-dataset machine-learning numpy pandas python

Last synced: 13 Apr 2026

https://github.com/zalkklop/lvsm

Official code for "LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias" (ICLR 2025 Oral)

attention-mechanisms deep-learning github-config large-view-synthesis matplotlib multi-label-classification nltk numpy one-vs-rest python seaborn sql tensorflow transformers

Last synced: 09 Apr 2025

https://github.com/sudarshanc00/brain-tumor-classification

This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.

matplotlib numpy pytorch resnet scikit-learn streamlit

Last synced: 10 Apr 2026

https://github.com/mathensley/asimpleneuralnetworklib

A simple library in Python for training datasets using neural network models

deep-learning neural-networks numpy python

Last synced: 19 Apr 2026

https://github.com/firewind25/gdp-data-extraction-and-processing

Data Extraction from a web resource using Web-Scraping and request APIs. Processed it using Pandas and NumPy libraries. Finally exporting it to csv file for further analysis

numpy pandas python webscraping

Last synced: 12 Jul 2025

https://github.com/blinksta1ker/spam-mail-classification

Supervised ML model using Logistic Regression model to classify an email as Ham or Spam

jupyter-notebook logistic-regression machine-learning numpy pandas python sklearn supervised-machine-learning

Last synced: 09 Apr 2026

https://github.com/mnitin-reddy/image-compression-using-k-means-clustering

This project implements the K-means algorithm for clustering and image compression. It reduces the number of colors in an image using K-means, achieving compression while maintaining key visual features. The project demonstrates the process on a sample dataset and a real image.

image-processing imagecompression kmeans-clustering machine-learning matplotlib numpy

Last synced: 19 May 2026

https://github.com/paulinhok14/csgo-datascience-project

📊 Analysis of CS:GO grenade usage patterns and their impact on match outcomes using data science and statistical methods.

matplotlib mlflow numpy python scikit-learn scipy seaborn

Last synced: 30 Dec 2025

https://github.com/danish-jamil-01/image-dehazer

Remove the haze from the image using dark channel prior and guided filter

dark-channel-prior guided-filter guided-filtering ndimage numpy open-cv opencv opencv-python pillow python scipy skimage tkinter

Last synced: 09 Apr 2026

https://github.com/Madhuresh2011/Leetcode-Questions-Analysis-Using-Python

The LeetCode Question Analysis is a Python-based project designed to help users analyze and gain insights into LeetCode problems. It allows users to track, categorize, and evaluate their progress, identify patterns in problem-solving, and optimize the preparation.

analysis csv-files matplotlib-pyplot numpy pandas python python-project seaborn

Last synced: 13 Sep 2025

https://github.com/thavinduushan/linear-regression

A linear regression model to predict premium price of an insurance. The dataset includes around 1,000 observations. The project, aimed at learning, was implemented in Jupyter notebooks using NumPy, Matplotlib, Pandas, Keras, and TensorFlow.

matplotlib numpy pandas python tensorflow

Last synced: 09 Apr 2026

https://github.com/navindafernando/heart-disease-prediction

Deploying the heart risk level predicting Regression model in a web application using Flask :white_flower:

flask html joblib machine-learning numpy supervised

Last synced: 06 May 2026

https://github.com/redinfinitypro/ai_projects

Rating (7/10) The code is a chatbot that interacts with users based on article content. However, issues include incorrect sorting, typos, incorrect indentation, and lack of explanations for each part, potentially affecting the bot's robustness and understanding of context.

newspaper nltk numpy python random sklearn string warnings

Last synced: 20 Jul 2025

https://github.com/tahir1072a/titanic-veri-analizi

Kaggle Titanic veri seti kullanılarak NumPy ve Pandas ile yapılan veri analizi projesi.

data-science kaggle numpy pandas python titanic-survival-prediction

Last synced: 30 Dec 2025

https://github.com/chubi-x/sort-it-image-classifier

Sort-it is an image classification application that classifies images of cats, dogs, bicycles, cars, and motorcycles.

image-classification machine-learning numpy pandas python streamlit tensorflow

Last synced: 05 Apr 2026

https://github.com/memgonzales/order-brushing-shopee2020

Solution to the Week 1 Contest (Student Category) of the 2020 Shopee Code League on order brushing detection

data-analytics e-commerce fraud-detection jupyter-notebook numpy order-brushing pandas python rule-based

Last synced: 11 Apr 2026

https://github.com/omarnahhass/crypto-cast

CryptoCast is a machine learning-powered tool that showcases three fundamental prediction models for forecasting cryptocurrency prices

cryptocurrency machine-learning numpy pandas python

Last synced: 05 May 2026

https://github.com/pramodyasahan/custom-image-classification-model

This repository hosts a TensorFlow-based custom image classification model. The model is designed to classify images into binary classes, labeled as 'Happy' and 'Sad'.

computer-vision convolutional-neural-networks cv2 keras matplotlib numpy tensorflow

Last synced: 11 Apr 2026

https://github.com/bishopce16/movies-etl

The goal of this project was to create an automated pipeline for a company Amazing Prime that is hosting a hackathon.

json numpy pandas pgadmin4 psycopg2 python regular-expressions sql sqlalchemy time

Last synced: 11 Apr 2026

https://github.com/elmezianech/email-spam-ham-classifier-lr

Email Classifier: A machine learning project using Python that categorizes emails into spam and ham (non-spam). Utilizes the Scikit-Learn library, employing logistic regression and TF-IDF (Term Frequency-Inverse Document Frequency) vectorization for text analysis and classification.

ai emails jupyter-notebook logistic-regression machine-learning ml numpy pandas python spam-detection spam-filtering tfidfvectorizer

Last synced: 09 Apr 2026

https://github.com/sagravela/plotground

Plotting Tool with Matplotlib and Tkinter. Video Demo:

matplotlib numpy python tkinter

Last synced: 19 May 2026

https://github.com/urvee1810/bitcoin-price-forecasting-using-arma

The analysis reveals the challenges of predicting Bitcoin prices during highly volatile periods and demonstrates how traditional time series models perform under different market conditions. The project includes comparative analysis of model performance during stable and volatile market phases.

arima arma augmented-dickey-fuller-test feature-engineering machine-learning matplotlib mplfina numpy pandas python random-forest randomforestregressor scikit-learn seaborn statsmodels time-series-analysis

Last synced: 06 Mar 2026

https://github.com/martinkersner/kmeans-meetup

Presentation about k-Means for Seoul AI Meetup on July 22, 2017.

kmeans numpy python scikit-learn

Last synced: 03 May 2026

https://github.com/poziloi/-math-

Системы компьютерной математики, задания

jupyter-notebook math matplotlib numpy pandas python scipy seaborn

Last synced: 30 Dec 2025

https://github.com/kaikyMoura/BackCourt-api

Repository for the Basketball Advanced Stats API

fastapi nba-api nba-stats numpy pandas python swagger uvicorn

Last synced: 08 Apr 2026

https://github.com/chandkund/recipe-recommendations

The Recipe Recommendations project leverages natural language processing (NLP) techniques to process recipe descriptions and classify them into categories like desserts, main courses, and more. The system provides personalized recommendations by analyzing the text input and suggesting relevant recipes.

embeddings matplotlib nlp numpy pandas softmax tensorflow

Last synced: 06 Apr 2026

https://github.com/dhanas3kar/python-libraries

Practice codes using Python libraries like NumPy, SciPy, Matplotlib, Pandas, and others. Covers basics, examples, and simple exercises for learning data handling, numerical computing, and visualization.

coding-excersise data-analytics-project data-v matplotlib numpy pandas practice python python-libraries scipy

Last synced: 09 Apr 2026

https://github.com/adirbella37/safety-analytics-project

Final project in Safety Management: analytics and predictive modeling for occupational incidents. Includes EDA, logistic regression, Poisson/Negative Binomial with overdispersion checks, ROC/AUC, and prediction exercises.

classification data-visualization drunk-and-drive eda logistic-regression matplotlib negative-binomial numpy occupational-safety overdispersion pandas poisson-regression python road-safety roc-auc scikit-learn seaborn statmodels

Last synced: 09 Apr 2026

https://github.com/ahmedabdalkreem/preprocessing

All you need to be dataset ready to work in model without any Noise.

numpy pandas python3

Last synced: 07 Apr 2026

https://github.com/ashishsingh789/customer_purchase_prediction_using_decision-tree-_classifier

Decision Tree Classifier to predict customer purchases using demographic and behavioral data. Key steps: data preprocessing, EDA, model training, evaluation, and feature importance analysis.

data datascience desiciontree eda machine-learning-algorithms matplotlib numpy pandas-dataframe python seaborn

Last synced: 11 Apr 2026

https://github.com/dulajkavinda/handwritten-recognition

🛢Handwritten Digit Recognition using OpenCV

added machinelearning numpy opencv python

Last synced: 09 Apr 2026

https://github.com/hariprasath-v/machinehack-odetocode_predicting_weather_using_alien_fruit_properties

Identify the type of climate the exoplanet has based on the properties of the fruit by using machine learning.

catboost machine-learning matplotlib numpy pandas seaborn shap sklearn

Last synced: 11 Apr 2026

https://github.com/ashwathdazur/understanding-ds-using-python

Python NumPy, Pandas, Matplotlib and Seaborn for Data Analysis, Data Science and ML. Pre-machine learning Analysis.

data-science dataanalysis matplotlib numpy panda python3

Last synced: 19 May 2026

https://github.com/abhijeet107/household-transactions-analysis-report

This project analyzes household financial transactions spanning from 2015 to 2018, focusing on income, expenses, net savings, and spending patterns across categories and modes of payment.

matplotlib numpy pandas powerbi python seborn

Last synced: 11 Apr 2026

https://github.com/rahulsm20/car-data

A data analytics project that involves analyzing a car dataset that includes information on various car brands, years, prices, mileage, and fuel types, in order to gain insights into the car market.

data-analysis data-analytics matplotlib numpy pandas python

Last synced: 09 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 51 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 35 Videos 34 🎲 Statistics & Probability 34 Web 33