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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/sujalk777/signal_systems_lab

This repository contains the assignments for the Signal Systems Laboratory course offered at IIT Jammu Autumn 24

jupyter-notebook librosa linux matplotlib numpy python raspberry-pi

Last synced: 12 Apr 2026

https://github.com/shreeparab1890/chat-analyzer

This project is a Data Analysis project to analyze the WhatsApp chats.

data-analysis numpy pandas python

Last synced: 12 Apr 2026

https://github.com/shandilya1998/neurorobotics

Python tools for robotics, deep reinforcement learning and neuroscience research.

computational-neuroscience mujoco mujoco-py numpy openai-gym pytorch reinforcement-learning robotics

Last synced: 12 Apr 2026

https://github.com/raoulnormand/easygrader

A library to easily calculate course grades.

gradebook gradescope numpy pandas teaching-tool

Last synced: 10 Mar 2025

https://github.com/hansalemaos/cycolorcrop

Crops an image based on allowed colors

color crop cython image numpy opencv

Last synced: 01 May 2026

https://github.com/kunalshelke90/students_marks_prediction_in_exams

Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization .Later on deployed on AWS with help of docker

dokcerfile flask githubactions machine-learning matplotlib mlops numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/varuntotakura/face-recognition

My own code for Face Recognition using Python

face-recognition numpy opencv python tensorflow

Last synced: 09 Apr 2026

https://github.com/tugot17/linear-regression-from-scratch

Linear Regression concepts and intuitions presented using Jupyter Notebooks

from-scratch linear-regression numpy python

Last synced: 11 Jul 2025

https://github.com/khushi130404/catnet

CatNet is a simple machine learning project that classifies images as either a cat or not a cat using logistic regression. The dataset consists of labeled images of cats and non-cats, preprocessed and used to train a binary classification model.

h5py matplotlib numpy pillow scipy

Last synced: 12 Apr 2026

https://github.com/jeslipriya/emotion-detection

This project is an enhanced real-time facial emotion detection system that uses deep learning (OpenCV + mini-XCEPTION) to accurately recognize human emotions through a webcam or image input. It features advanced preprocessing, temporal smoothing, and a clean visual interface for smooth and stable emotion analysis.

7-emotions deep-learning emotion-detection fer2013 numpy opencv opencv-python python tensorflow

Last synced: 03 Jul 2025

https://github.com/chmohit91/Introduction-to-Python

A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners

matplotlib numpy pandas plotly python python-library python3 seaborn

Last synced: 21 Jul 2025

https://github.com/kareem74x/data-mining-uni-project

A project focused on applying data mining techniques to extract insights from datasets

data-mining matplotlib numpy pandas python

Last synced: 25 Feb 2026

https://github.com/ds-python-programmers-spectrum/flipkart-sentimental_analysis-app

The Flipkart Sentiment Analysis project aims to analyze customer reviews of Flipkart products using Natural Language Processing (NLP) and visualize insights through a Streamlit-based web application. This system will classify customer feedback as positive, negative, or neutral

machine-learning nltk numpy pandas sentiment-analysis streamlit-webapp textblob vader-sentiment-analysis

Last synced: 22 Jun 2025

https://github.com/akashash01/navie_bayes

It's an simple probabilistic classifiers based on applying Bayes theorem with strong independence assumptions between the features. Highly effective for text sequence oriented data(independent variables).

data-science machine-learning numpy pandas python sklearn supervised-learning

Last synced: 09 Apr 2026

https://github.com/sayan520/titanic-data-insights

Conducting data analysis on Kaggle's Titanic: Machine Learning from Disaster dataset using essential data wrangling, exploratory data analysis (EDA), and visualization techniques to uncover insights, identify patterns, and explore factors influencing passenger survival.

jupyter-notebook kaggle matplotlib numpy pandas python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/urvee1810/market_basket_analysis

A data mining project analyzing Instacart's 3 million grocery orders to uncover customer shopping patterns and product associations. Using market basket analysis and the Apriori algorithm, the project reveals key insights about shopping behavior, product combinations, and temporal patterns, providing valuable recommendations for retail strategy

apriori-algorithm data-mining data-visualization machine-learning market-basket-analysis matplotlib mlxtend numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/rohitinu6/image_cartoonify

To Cartoonify an Image using opencv-python

image-processing matplotlib numpy opencv opencv-python python

Last synced: 12 Apr 2026

https://github.com/tnleite/credit-card-customer-clustering

Este repositório apresenta um projeto de segmentação e predição de clientes de cartões de crédito. Utilizando EDA, clusterização (K-Means) e machine learning, o objetivo é prever o grupo de novos clientes, apoiando estratégias de marketing personalizadas.

classification-algorithm clustering-algorithm clustering-analysis data-science exploratory-data-analysis kmeans-clustering logistic-regression machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn seaborn

Last synced: 07 May 2026

https://github.com/prashhhant213/customer-behavior-analysis-for-walmart-black-friday-sales

This project is a Walmart case study analyzing customer purchase behavior by gender and demographics to inform business decisions, especially around spending habits during events like Black Friday.

matplotlib numpy pandas python scipy seaborn

Last synced: 06 Jan 2026

https://github.com/arrmansa/leetcode-nice-solutions

Some solutions for leetcode problems that I found fun - either the algorithm or using numpy bruteforce where it shouldn't be

leetcode leetcode-python leetcode-python3 leetcode-solutions numpy python python3

Last synced: 16 Mar 2025

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

A data analytics project dealing with risk assessment and it's effects in health insurance.

data-analysis data-analytics machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/hrolive/fundamentals-of-accelerated-data-science

How to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results.

accelerated-computing bokeh cudf cugraph cuml cupy dask data-science jupyter numpy pandas python rapids xgboost

Last synced: 12 Apr 2026

https://github.com/parth-jatav/super-store-analysis-project

The Super Store Analysis project leverages Python libraries such as pandas, matplotlib, and numpy to perform a comprehensive analysis of a retail store's data. This project includes data cleaning, visualization, and statistical analysis to identify key trends, optimize inventory, enhance decision-making processes for improved business performance.

data-analysis matplotlib numpy pandas python super-store

Last synced: 12 Apr 2026

https://github.com/apal21/tensorflow-linear-regression-fit-data

Fit a line passing through data with some random noise using Tensorflow linear regression with Gradient Descent Optimizer.

gradient-descent linear-regression numpy python3 tensorflow

Last synced: 12 Apr 2026

https://github.com/mahmoudnamnam/superstore-analysis

This project explores the SuperStore dataset to uncover insights into sales, profit, and customer behavior. It identifies key trends, regional variations, and product performance, using data analysis and machine learning techniques to guide business strategy and optimize performance.

clustering data-analysis data-science data-visualization geopandas jupyter-notebook machine-learning numpy pandas plotly regression seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/mostafa-ghorab/global-happiness-analysis

An analysis of global happiness rankings based on various factors like GDP, family support, health, and freedom from the World Happiness Report (2015-2017). This project provides data visualizations and statistical insights into how these factors influence happiness scores in different regions.

business-analysis data-analysis data-visualization matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/lmizner/codecademy_life_expectancy_gdp

Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy

barplot jupyter-notebook lineplot matplotlib-pyplot numpy pandas python scatterplot seaborn

Last synced: 12 Apr 2026

https://github.com/ledsouza/python-powerbi

Desenvolver uma dashboard para análise do mercado financeiro utilizando Python e Power BI

etl matplotlib numpy pandas powerbi python seaborn

Last synced: 12 Apr 2026

https://github.com/gregoritsch3/project_radioactive_decay

An analytic ( system of coupled ODEs), numeric (Runge-Kutta 4, Newton-Raphson) and stochastic (Monte Carlo) treatment of the chained radioactive decay of Bi[210, 83] into Po[210,84], as well as the emission of alpha-particles. Associated comments and paper are in Croatian.

cplusplus matplotlib montecarlo-simulation numerical-methods numpy python radioactive-decay scipy

Last synced: 12 Apr 2026

https://github.com/jpcano/boston_housing

Predicting Boston Housing Prices using supervised Machine Learning algorithms

cross-validation machine-learning numpy pandas python regression-models scikit-learn

Last synced: 12 Apr 2026

https://github.com/themihirmathur/soiligator

Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.

auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine

Last synced: 12 Apr 2026

https://github.com/armahdavi/mlops

Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.

apache-beam docker fastapi logistic-regression mlops mlops-workflow numpy random-forest sklearn tensorflow-extended unicorn xgboost

Last synced: 12 Apr 2026

https://github.com/nadahamdy217/movies-data-etl-using-python-gcp

Developed a comprehensive ETL pipeline for movie data using Python, Docker, and a GCP Pub/Sub emulator. Successfully processed and published the data in a local Docker environment, showcasing advanced data engineering skills.

analytics data data-engineering data-ingestion data-preparation data-preprocessing data-processing data-project docker etl etl-pipeline gcp matplotlib matplotlib-pyplot numpy pandas pubsub python scipy seaborn

Last synced: 06 Jan 2026

https://github.com/lijesh010/employeeanalysis-

This is a simple data analysis project developed as part of my Entri Elevate Data Science and Machine Learning course. It serves as a practical demonstration of my skills in data analysis.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/fabricioarendtorres/streamauc

Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..

classification-model machine-learning metrics numpy precision-recall-curve receiver-operating-characteristic

Last synced: 06 Jan 2026

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

Machine Learning course of Piero Savastano 7: matplotlib, accuracy_score, precision_score, recall_score, f1_score, classification_report

machine-learning matplotlib metrics numpy

Last synced: 04 May 2026

https://github.com/alisonmitchell/countries-of-the-world

Exploratory Data Analysis of US Government data from the World Factbook to investigate GDP ($ per capita), Literacy (%) and Phones (per 1000).

data-science machine-learning matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/bhushan148/ipl-stats-analysis

This project explores IPL data to show team and player performances. 📈 Key highlights include analyzing match results, highest scores, and performance at different venues. 🏟️ It uses charts to reveal trends like win margins and average scores by venue. 📉 Discover important insights into what affects match outcomes and team success.

jupyter-notebook markdown matplotlib-pyplot numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/aleksandarbuk/machine-learning

The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.

matplotlib numpy python scikit-learn tensorflow

Last synced: 16 Apr 2026

https://github.com/ewakamoto/03.-python-projects

This is my collection of Python Projects

jupyter jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/sonatipek/matris_transactions_py

My "Python Programlama-I" lesson's homework. Some matris transactions with numpy library in Python

matrix numpy numpy-arrays python sonatipek

Last synced: 24 Mar 2025

https://github.com/sothulthorn/stock-prediction-portal

The Stock Prediction Portal is a full-stack web application that demonstrates how to use machine learning models to analyze stock market data and forecast future trends.

axios django django-rest-framework javascript keras matplotlib numpy pandas python react tensorflow yfinance

Last synced: 02 Apr 2026

https://github.com/akashkg03/feynn-labs-internship

This repository contains the projects I did as a Data Science intern with Feynn Labs.

data-science machine-learning matplotlib numpy pandas python scipy seaborn

Last synced: 07 Jan 2026

https://github.com/Sadegh-Khedry/Pneumonia-Detection-Using-CNN

Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).

cnn convolutional-neural-networks cv2 deep-learning harris-corners joblib jupyter-notebook keras kmeans-clustering matplotlib numpy orb pandas python seaborn shutil sifit tensorflow

Last synced: 12 Apr 2026

https://github.com/yahiazakaria445/image-classification-using-vgg-16

computer vision model for 10 classes classification

matplotlib numpy opencv pandas sklearn tensorflow

Last synced: 12 Apr 2026

https://github.com/alejoduarte23/bs6472

Serviceability assessment as per BS 6472 for human exposure to vibration in buildings Vibration sources other than blasting

matplotlib numpy pydantic scipy

Last synced: 07 Jan 2026

https://github.com/reckonsys/datascience-docker

A docker image with numpy, scipy, nltk and pandas pre-installed with pip

docker docker-image dockerfile nltk numpy pandas scipy

Last synced: 10 Mar 2025

https://github.com/ericchw/youth_discord_nlp_chatbot

A python AI chatbot with emotion detection model. Frontend using PHP, API using Flask and database using PostgreSQL. Collaborate with CyberYouth from SJS. @HKMU 2022-2023 FYP

ai bootstrap chatbot chinese-nlp docker emontion-detection flask jquery machine-learning nlp nlp-machine-learning nltk numpy pgsql php postgresql pycord torch transformers

Last synced: 21 Jan 2026

https://github.com/the-developer-306/fake-review-detector

This project is a machine learning-based review classification system that predicts whether a product review is GENUINE or FAKE. It preprocesses review text, analyzes sentiment, and uses numerical features like ratings and helpfulness to make predictions. The model is deployed via a Flask web application for user interaction.

classification flask logistic-regression machine-learning numpy pandas python renderdeploy scikit-learn sentiment-analysis

Last synced: 12 Apr 2026

https://github.com/chandkund/sentiment-analysis-using-nlp

This project focuses on Sentiment Analysis using the textual content from product reviews. The goal is to analyze user sentiments based on their written feedback, particularly focusing on the "reviewText" column in the dataset.

lemmatization matplotlib nlp nltk numpy pandas seaborn tokenization

Last synced: 31 Jan 2026

https://github.com/m-rishab/job-recruitment-prediction-and-hr-dashboard-using-plotly

This project features make it ideal for dynamic HR dashboards, offering insights into candidate profiles and recruitment processes.

correlation-analysis flask kmeans-clustering numpy pandas plotly python scikit-learn seaborn standardscaler

Last synced: 12 Apr 2026

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

This project is aimed at predicting the likelihood of coronary heart disease (CHD) in individuals over the next ten years using Logistic Regression.

logistic-regression numpy pandas simpleimputer sklearn

Last synced: 21 Jan 2026

https://github.com/hariprasath-v/av_job-a-thon-august-2022

Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.

exploratory-data-analysis klib machine-learning matplotlib numpy pandas pycaret-library regression seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/ieCecchetti/Python_ML_DL_examples

A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme

bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi

Last synced: 10 Mar 2025

https://github.com/raghavendra317/brain-tumor-detection

A deep learning-based project for classifying brain MRI images into Glioma, Meningioma, No Tumor, and Pituitary Tumor using Convolutional Neural Networks (CNNs). This project aims to assist in early tumor detection, improving diagnostic accuracy and healthcare outcomes.

cnn-classification keras numpy opencv scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/sandipkushwaha20/brain_tumour_detector

This project utilizes deep learning to detect and classify brain tumors from MRI images. The primary objective is to determine whether a tumor is present and, if so, classify its type with high accuracy.

deeplearning keras numpy pandas python tensorflow

Last synced: 12 Apr 2026

https://github.com/d1ogocs/afinador-de-instrumentos

Desenvolvimento de um afinador que se ajusta automaticamente ao instrumento musical escolhido pelo utilizador

butterworth-filter instrument-tuner matplotlib numpy pyaudio python scipy threading tkinter

Last synced: 07 Jan 2026

https://github.com/aqueeqazam/numpy-for-mathematical-computing

You're at the perfect spot if you're interested in developing your career in data science or machine learning, or if you just enjoy having fun with mathematical operations.

mathematics numpy numpy-arrays

Last synced: 19 Apr 2026

https://github.com/supriya811106/whatsapp-chat-analyzer-app

Analyze WhatsApp chats with Python, Streamlit, and data visualization. Explore messaging patterns, content trends, and emoji usage to uncover insights from your conversations.

analyzer-web-app chat-analytics chat-analyzer data-preprocessing data-visualization emojis machine-learning matplotlib natural-language-processing nltk numpy pandas plotly python3 seaborn sentiment-analysis streamlit-webapp text-analysis user-engagement

Last synced: 30 Dec 2025

https://github.com/supriya811106/twitter-sentiment-analysis

Analyzing the mood of tweets! We sort tweets on popular topics into positive, negative, or neutral categories to gauge public opinion. See what Twitter really thinks!

bernoulli-naive-bayes jupyter-notebook matplotlib nlp-machine-learning nltk numpy pandas python scikit-learn seaborn sentiment-analysis text-classification tfidf-vectorizer wordcloud

Last synced: 05 Apr 2026

https://github.com/AsuquoAA/CDC_2017_Immunization_Data_Analysis

This project analyzes data from the CDC's 2017 National Immunization Survey Public Use File (NISPUF17) to answer research questions about immunization, child health, and vaccine-related behaviors.

numpy

Last synced: 21 Jul 2025

https://github.com/2kabhishek/ml-primer

Basic Machine Learning & Data Science in Python/ 📈🐍

jupyter-notebook machine-learning matplotlib numpy pandas python

Last synced: 12 Apr 2026

https://github.com/rubada/machine-learning-with-ruba-dabbas

Advance your skills and start your career here, by taking the online courses on Intuidemy.

course learning machine machine-learning matplotlib matplotlib-pyplot models numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/shreyazh/respire

To deal with Respiratory Challenges

machine-learning matplotlib numpy pandas pillow python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/sudarshanc00/mnist-digit-classification

This project uses a machine learning model to classify handwritten digits (0-9) from the MNIST dataset, a popular collection of grayscale images for image classification benchmarking. It includes a Jupyter Notebook to train a neural network, enabling accurate recognition and classification of digits.

jupyter-notebook matplotlib numpy python tensorflow

Last synced: 12 Apr 2026

https://github.com/trissim/polystore

Framework-agnostic multi-backend storage abstraction for ML and scientific computing

backend data io jax ml multi-framework numpy pytorch scientific-computing storage tensorflow zarr

Last synced: 12 Apr 2026

https://github.com/ahmedabdalkreem/skin-cancer

In this project we work to extraction features from Images using CNN and build the Neural Network to arrive the patient have skin-cancer Malignant or Benign.

cnn deep-learning matplotlib neural-network numpy pandas python3 sklearn-library

Last synced: 12 Apr 2026

https://github.com/riya2624/heart-disease-diagnostic-analysis

Analyzed heart disease diagnostic data through an ETL process, ensuring data accuracy and readiness for analysis using Python (Pandas, NumPy, Matplotlib, Seaborn). Conducted comprehensive exploratory data analysis (EDA) to uncover trends related to heart disease rates by gender and age. Developed interactive dashboards with Power BI and Tableau

dashboard dax-query eda machine-learning matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/ankitmishralive/machinelearning

Continuously deep diving in understanding & advancing my expertise in Machine Learning through ongoing education and hands on experience with practical learning.

artificial-intelligence data-analysis data-cleaning data-gathering machine-learning machinel-learning-algorithms matplotlib numpy pandas python seaborn

Last synced: 22 Mar 2025

https://github.com/ishtufinquant/portfolio-optimizer

Optimizes stock portfolios using simulation and real-world constraints (SLSQP).

backtesting finance numpy pandas portfolio-optimization python quant scipy yfinance

Last synced: 12 Apr 2026

https://github.com/ben854719/wasde-revenue-in-2024

The project will use AI to analyze the revenue from the dataset of the World Agricultural Supply and Demands Estimates.

gemini langchain large-language-models matplotlib numpy pandas-python

Last synced: 12 Apr 2026

https://github.com/purcellcjp/credit-risk-classification

This project utilized Python and scikit-learn libraries to train and evalute a Machinge Learning model based on loan risk.

machine-learning numpy pandas-dataframe python scikit-learn

Last synced: 12 Apr 2026

https://github.com/anupreet02/deep-learning-challenge

The objective of this analysis is to develop a deep learning model capable of predicting whether a charity funded by Alphabet Soup is likely to be successful. The model is built using the charity dataset, which contains various features related to each charity, and is used to classify charities as successful or not based on these features.

numpy pandas sckit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/necraul/perlin-noise-py

Some examples of generating perling noise using Python

noise numpy perlin-noise python python3 vector

Last synced: 11 Mar 2025

https://github.com/frolov-andrey2405/prime-numbers-and-polar-coordinate-system

Prime numbers and polar coordinate system

matplotlib numba numpy python

Last synced: 01 May 2026

https://github.com/dan-niles/neural-networks-from-scratch

A neural network implemented using only NumPy and Pandas for CS3631: Deep Neural Networks

neural-networks numpy pandas

Last synced: 05 May 2026

https://github.com/francislauriano/chatsoftex

Plataforma desenvolvida em Python que visa automatizar e agilizar o processo de avaliação de projetos de inovação tecnológica, utilizando inteligência artificial e critérios padronizados com base na Lei do Bem.

cryptography fernet firebase flask flask-jwt-extended hugging-face-transformers numpy openai pdfplumber postgresql pyjwt pymupdf-fitz pypdf2 python pytorch scikit-learn scipy spacy sqlalchemy tensorflow

Last synced: 03 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