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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/lucasgleria/seamese-network-algorithm

Este projeto implementa um sistema de busca por similaridade de imagens usando redes siamesas e Triplet Loss em PyTorch. Ele gera embeddings de imagens (MNIST com EfficientNet-B0) para encontrar visuais semelhantes. O foco está na análise visual e no aprendizado de representações no espaço vetorial.

google-colab matplotlib numpy pandas python pytorch timm

Last synced: 11 Apr 2026

https://github.com/mrktsm/spam-email-recognizer

Long Short-Term Memory (LSTM) network trained to classify emails as spam or non-spam. It processes email content to make accurate predictions and can be integrated into projects for efficient spam detection and email management.

data-preprocessing keras lstm-neural-network model-architecture nltk numpy pandas performance-evaluation scikit-learn spam-classification-model tenserflow training-the-model

Last synced: 09 Apr 2026

https://github.com/riju18/from-data-production-to-client-handover

The common tedious problem is to build a data app to demonstrate the data analysis & analytics along with Machine Learning to a client. It was an attempt to do it on small scale in the most powerful & simplest way.

machine-learning matplotlib numpy pandas plotly python seaborn streamlit

Last synced: 30 Apr 2026

https://github.com/lmizner/grokking_data_science

Coding practice for basic data science interview questions in Python

data-science numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/anas436/python

This is Python Programming Language. Here, the basic problems of Python language have been solved. If you can solve these problems then your basic skills will be developed in this language and you will be suitable for doing good projects.

jupyter-notebook jupyterlab numpy pandas pycharm python3 watson-studio

Last synced: 11 Apr 2026

https://github.com/gregoritsch3/ml_eda_clustering_aidassessment

An EDA and Machine Learning Clustering exercise on the Country Aid Assessment dataset demonstrating the use of PCA, KMeans and DBSCAN clustering, Elbow Methods, etc. The clustering algorithm successfully demarcates countries that are in most dire need of aid based on their GDPP and Child Mortality rate.

anova dbscan kmeans machine-learning matplotlib numpy pandas pca scikit-learn seaborn statistics

Last synced: 16 Apr 2026

https://github.com/ngangawairimu/data-validation-using-python

Agricultural dataset validated using python code for usage. Building a data pipeline that will ingest and clean data with the press of a button.

jupyter-notebook numpy pandas pytest python

Last synced: 13 Apr 2026

https://github.com/charles-l/rayboi

a raytracer written in futhark/python

futhark numpy pathtracing python3 raytracing

Last synced: 19 Apr 2026

https://github.com/talapanenivarshithchowdary/asteroid-detection-ml

This project uses Machine Learning to detect and classify asteroids based on trajectory and size, aiding in Near-Earth Object detection and planetary defense.

classification data-science decision-trees jupyter-notebook knn logistic-regression machine-lea matplotlib numpy pandas pillow prediction python3 random-forest scikit-learn

Last synced: 11 Apr 2026

https://github.com/audy21/datacamp

Learning portfolio documenting my progress, while taking Data Analyst & Data Science certifications from DataCamp.

data-analysis data-science machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/amanyadav-07/customer-churn-prediction

Machine Learning project to predict customer churn using Logistic Regression, Random Forest, and XGBoost. Includes data preprocessing, feature engineering, SMOTE balancing, model training, evaluation, and business insights.

accuracy-metrics data-analysis data-visualization logistic-regression machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn sklearn xgboost-classifier

Last synced: 11 Apr 2026

https://github.com/mgitrov/lifespan-x-population-status

A machine learning project aiming to predict animals' lifespan and population status.

bs4 data-science machine-learning matplotlib numpy pandas python regular-expressions requests seaborn sklearn

Last synced: 11 Apr 2026

https://github.com/rahatmoktadir03/customer-churn-prediction

A machine learning project for predicting customer churn, enabling businesses to identify at-risk customers and develop retention strategies.

business-analytics customer-churn-prediction data-science google-colab machine-learning numpy pandas python sklearn strreamlit xception-model

Last synced: 11 Apr 2026

https://github.com/nachtfeuer/covid19

Python script(s) for visualizing corona data

csv json matplotlib numpy pandas python requests tkinter

Last synced: 05 May 2026

https://github.com/eduardoprofe666/mn-api

🐍📦 Paquete de Python con implementaciones de métodos numéricos

mn-api numerical-methods numpy pandas python scipy simpy tabulate

Last synced: 04 Jan 2026

https://github.com/badranalyst/student-tests-data-analysis-application

Python-based analysis of student test scores in math, reading, and writing, examining correlations with parental education, lunch type, and test preparation. Includes data cleaning, visualization, and statistical insights into factors influencing academic performance.

data-analysis data-visualization dataset matplotlib numpy pandas python sklearn

Last synced: 05 May 2026

https://github.com/amanda-ucc/market-tracker

Automated portfolio creator that generates a portoflio which mimics a bench mark index by minimizing the tracking error.

beta covariance numpy pandas scipy sharpe-ratio tracking-error variance yfinance

Last synced: 11 Apr 2026

https://github.com/egorumaev/2023-cirrhosis-outcomes

Прогнозирование исхода лечения пациентов с циррозом печени

catboost imblearn iqr lda matplotlib numpy pandas pca phik pipeline sklearn t-sne xgboost

Last synced: 08 May 2026

https://github.com/dastogirrudro/machine-learning-and-deep-learning

This is my thesis project which i have done in varsity.Here i used machine learning and deep learning i used LSTM as deep learning.This can identify aggresive spam message. Here i used pandas scikit-learn and many more framework i used python as a programming language.I used many algorithm for highering the accuracy of my project.

deep-learning lstm machine-learning numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/bhawnamehbubani/advanced-zomato-restaurant-clustering-and-sentiment-analysis

This project leverages this data to perform clustering and sentiment analysis, providing actionable insights for customers and business growth.

matplotlib-pyplot nltk numpy pandas seaborn sklearn wordcloud

Last synced: 05 May 2026

https://github.com/udhaya2823/dataspark-illuminating-insights-for-global-electronics

✨DataSpark✨ is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.

data-science data-visualization database-management datacleaning exploratory-data-analysis matplotlib numpy pandas powerbi python seaborn sql version-control

Last synced: 11 Apr 2026

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

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

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

Last synced: 11 Apr 2026

https://github.com/shreyasmehta05/sortsync

A custom sorting algorithm combining parallel merge and count sort, with detailed performance comparisons against standard sorting techniques.

c matplotlib numpy python3

Last synced: 04 Feb 2026

https://github.com/mani-prakash-n-r/stock_market_prediction_system

This project uses LSTM networks to predict stock prices based on historical data, providing insights for informed investment decisions..LSTM, NumPy, Scikit-Learn, Matplotlib, yfinance and TensorFlow

lstm matplotlib numpy python sckiit-learn tensorflow yfinance

Last synced: 11 Apr 2026

https://github.com/saliola/nonnegative_integer_matrices

code to generate and count nonnegative integer matrices with prescribe row and column sums (aka contingency tables)

cython cython-examples numpy numpy-examples python3

Last synced: 18 Apr 2026

https://github.com/alexsolov28/ml_course

Курс "Технология машинного обучения"

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

Last synced: 05 Apr 2025

https://github.com/matiassenia/modelo-prediccion-temperatura

Proyecto de machine learning que utiliza TensorFlow para predecir temperaturas en grados Fahrenheit a partir de temperaturas en grados Celsius. Incluye un script de Python para entrenar el modelo y realizar predicciones, así como datos de entrenamiento y visualizaciones

adam-optimizer machine-learning numpy python python3 tensorflow

Last synced: 11 Apr 2026

https://github.com/project54321/stocksniper

"An interactive Stock Dashboard that visualizes historical prices, calculates key financial metrics, displays fundamental statements, and aggregates the latest news for any ticker — all in a sleek, easy-to-use Streamlit interface."

alphavantage finance numpy pandas plotly pypi python stock-market stocknews streamlit

Last synced: 11 Apr 2026

https://github.com/kkufieta/carnd-vehicle-detection

Vehicle Detection & Tracking - Self Driving Cars

cv2 hog-features numpy self-driving-car sklearn vehicle-detection

Last synced: 11 Apr 2026

https://github.com/isabelacaldeira/chutelibre

Crashing into code. Here is a physics problem about free fall solved with python!

freefall jupyter-notebook matplotlib numpy physics physics-simulation python3

Last synced: 11 Apr 2026

https://github.com/cfbastarz/jupyternotebooks

A collection of several Jypyter notebooks.

dask matplotlib numpy python xarray xesmf

Last synced: 18 Jan 2026

https://github.com/Gregoritsch3/Exercise_Pandas_1

A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib,

data-cleaning data-visualization descriptive-statistics matplotlib numpy pandas scipy sympy

Last synced: 01 May 2025

https://github.com/harmanveer-2546/wafer-fault-detection

The goal is to eliminate manual work in identifying faulty wafers. Opening and handling suspected wafers disrupts the entire process. False negatives result in wasted time, manpower, and costs.

clustering data-transformation feature-selection machine-learning matplotlib numpy pandas python random-forest roc-auc-curve roc-auc-score seaborn sklearn svc xgboost

Last synced: 11 Apr 2026

https://github.com/diegorezm/spc

Analise de espectros de Infravermelho por Transformada de Fourier (FTIR)

ftir-data-analysis numpy python

Last synced: 21 Apr 2026

https://github.com/biasandrade/rede-neural-do-zero-classificacao-binaria

🧠 Rede Neural Artificial construída do ZERO (só NumPy) para detectar fraudes em transações | Forward/Backward Propagation | Sigmoid | Gradiente Descendente

backpropagation binary-classification deep-learning fraud-detection from-scratch gradient-descent machine-learning neural-network numpy python

Last synced: 18 Nov 2025

https://github.com/pavanreddy565/infosys_python_for_datascience

Data Science Course Tasks Repository This repository contains tasks and projects completed during the Data Science course from Infosys Springboard. It includes setup instructions for running Jupyter Notebook sessions in a virtual environment.

matplotlib numpy pandas

Last synced: 29 Apr 2026

https://github.com/bhuvan-s-prasad/streamlit-regression

A machine learning project that predicts housing prices in California using regression techniques. This project includes comprehensive exploratory data analysis, feature engineering, linear regression modeling, and an interactive Streamlit web application for making predictions.

california-housing-price-prediction exploratory-data-analysis linear-regression machine-learning matplotlib numpy pandas python scikit-learn seaborn streamlit supervised-learning

Last synced: 11 Apr 2026

https://github.com/chirindaopensource/non_linear_forecasting_backcasting

Python implementation of Gourieroux-Jasiak's (2025) mixed causal-noncausal VAR models. Features probabilistic forecasting, nonlinear innovation filtering, and state-dependent IRF analysis for financial time series with explosive dynamics. Enables robust risk assessment and structural analysis of speculative behavior.

bootstrap bubble-analysis financial-modeling forecasting jupyter-notebook monte-carlo nonlinear-modeling numpy pandas python quantitative-finance research-implementation risk-management scipy statistical-modeling time-series uncertainty-quantification var-models

Last synced: 11 Apr 2026

https://github.com/ecrows/flippy

Python command-line utility for generating videos from image directories.

data-science image-processing numpy opencv python python3 video video-processing visualization

Last synced: 04 Mar 2026

https://github.com/mashalk1/computer-vision-attendance-system

A computer vision based attendance system, using cv2, firebase, numpy, cvzone and face_recognition library in python

computer-vision cv2 cvzone face-recognition numpy

Last synced: 04 Feb 2026

https://github.com/mborne/numpy-experiments

[DEV] Some basic examples written to get started with numpy and pytorch

autograd basics get-started least-squares numpy torch

Last synced: 05 May 2026

https://github.com/alexquar/whatisthatdog

Mobile App built using react-native that will send api requests for classifying dog breeds to a flask api server containing a custom built CNN made with pytorch trained on the Stanford dog dataset. To take a look at some examples checkout some images from my portfolio linked here.

aws ec2 expo flask gunicorn matplotlib-pyplot numpy pandas pytorch react-native seaborn typescript

Last synced: 11 Apr 2026

https://github.com/pramodyasahan/model-selection

This repository explores and compares different regression models for predicting continuous outcomes. This repository includes implementations and evaluations of five key regression models. The primary goal is to demonstrate how each model works, evaluate their performance using R-squared values, and guide users in selecting the best model.

machine-learning modelselection numpy pandas python regression scikit-learn

Last synced: 08 Mar 2025

https://github.com/chaudharypraveen98/lungcancerdetection

To distribute the work of doctors and process the large amount of data to produce accurate results on the go

numpy pandas pillow python scipy tenserflow

Last synced: 16 Apr 2026

https://github.com/dhirajmerit/diabetes-prediction-models

This project implements multiple machine learning algorithms to predict diabetes diagnoses based on medical diagnostic data. The project compares the performance of various models, providing insights into which algorithms are most effective for this task.

ai machine-learning numpy pandas tensorflow

Last synced: 11 Apr 2026

https://github.com/jo-minseok/global-warming-100year

🌡️ 2100년까지의 지구 기온, 해수면, 북극 빙하, 탄소 예측 ML [완료]

arima-model global-warming machine-learning matplotlib numpy pandas scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/gkannan-codes/habitableexos

With Earth’s habitability under strain, we ask: which known exoplanets could humans live on? Using NASA’s Exoplanet Archive, we score planets 0–1 (1 ≈ Earth) from five Earth-normalized features to rank top candidates.

data html kaggle matplotlib-pyplot numpy pandas plotly python seaborn visualization

Last synced: 11 Apr 2026

https://github.com/ashishsingh789/traffic_accident_analysis

Analyzed traffic accident data to identify patterns related to road conditions, weather, and time of day. Visualized accident hotspots using heatmaps and bar plots.

excel matplotlib numpy pandas pandas-dataframe python seborn

Last synced: 11 Apr 2026

https://github.com/abhi227070/wine-quality-prediction

The Wine Quality Prediction project utilizes machine learning to assess wine quality based on various parameters. It offers a user-friendly interface built with Streamlit for easy interaction. Deployed on AWS, it provides scalable access to quality predictions for wine batches.

classification-algorithm machine-learning machine-learning-algorithms machinelearning matplotlib numpy pandas python3 seaborn

Last synced: 11 Apr 2026

https://github.com/anibalalpizar/python-machine-learning-example

This code reads and preprocesses a dataset for classification using pandas, numpy, matplotlib and scikit-learn. The dataset is split into three parts for training, validation and testing. The data is then scaled and optionally oversampled for balanced classes.

machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/harmanveer-2546/nasa-asteroid-classification

Classifying whether an asteroid is hazardous or not.

eda matplotlib numpy pandas python seaborn visualization xgboost

Last synced: 11 Apr 2026

https://github.com/vishal-verma-96/pre-owned-car-price-prediction-using-streamlit-app

Capstone Project by skill Academy- Exploratory Analysis, Visualization and Prediction of Used Car Prices. Deploying the highest-scoring model with Streamlit web app

data-analysis data-science jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python3 regression-algorithms scikit-learn seaborn streamlit

Last synced: 11 Apr 2026

https://github.com/rahul-shrivastav/digit-recognition-nn

Web application that recognizes handwritten digits using a deep learning model

deep-learning flask numpy python reactjs tensorflow

Last synced: 11 Apr 2026

https://github.com/f-ssemwanga/advanced-programming-york

This repository holds the extensive python programming completed during the advanced programming unit of my master's programme

comprehension csv-parser json lambda-functions list matplotlib mongodb numpy oops-in-python pandas-dataframe postgresql python3 tkinter-gui

Last synced: 11 Apr 2026

https://github.com/sohan181204/airline-ticket-price-analysis

The analysis of airline ticket prices explores the dynamic and competitive nature of the aviation industry in India. With rapid economic growth and increasing air travel demand, understanding ticket price trends is crucial for airlines, passengers, and policymakers.

numpy pandas python selenium

Last synced: 11 Apr 2026

https://github.com/dmarks84/coursework_project_text-mining-spam-analysis

Project for University of Michigan Applied Data Science Specialization -- Performed NLP in order to build features of email messages; trained various classification models to help predict if a message was spam.

classification databases eda nlp numpy pandas python scikit seaborn sentiment-analysis statistics supervised-ml text-mining unsupervised-ml visualization

Last synced: 11 Apr 2026

https://github.com/ayushtiwari134/machine_learning_models

A repo where i upload all the models which i train during my journey of learning Machine Learning from scratch

linear-regression logistic-regression machinelearning matplotlib numpy pandas python random-forest scikit-learn

Last synced: 11 Apr 2026

https://github.com/broodhoney/titanic-ml-from-disaster

This repository contains my analysis and solutions for the Titanic: Machine Learning from Disaster competition on Kaggle. The notebook explores the dataset, performs extensive Exploratory Data Analysis (EDA), applies feature engineering techniques, and builds predictive models to determine survival outcomes based on passenger data

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

Last synced: 11 Apr 2026

https://github.com/arnauog/ironhack_data_analytics

Weekly labs to practice everything taught in class during the Data Analytics bootcamp of Ironhack in Barcelona of Sept 2024 - March 2025.

machine-learning mongodb mysql numpy pandas python seaborn tableau webscraping

Last synced: 11 Apr 2026

https://github.com/adamouization/python-machine-learning-data-science-notes

:orange_book: Jupyter notebooks containing useful Python code and notes for general Machine Learning and Data Science projects.

data data-science data-visualization guide jupyter jupyter-notebook machine-learning matplotlib notes numpy pandas pandas-dataframe python seaborn

Last synced: 11 Apr 2026

https://github.com/chernyakid/bank-clients-churn-research

Анализ оттока клиентов в Метанпромбанке

jupyter numpy pandas python scipy seaborn

Last synced: 11 Apr 2026

https://github.com/rakibhhridoy/differentprojects

Some of my learning projects that I practice to launch in data science. Not all, but some of few that was stored in my local repository. It can be useful for beginner data science enthusiast. Explore and learn!

data-science deep-learning machine-learning mathematics matplotlib numpy pandas python scikit-learn seaborn statistics

Last synced: 11 Apr 2026

https://github.com/shubhamahobia/lstm-hamlet

The LSTM Next Word Prediction project trains a model on Hamlet to predict the next word in a sequence. After preprocessing the text, an LSTM network learns patterns in the language. The trained model can then generate text by predicting the next word in a given sequence, with its accuracy evaluated to ensure it effectively models the language.

deep-learning github hamlet lstm lstm-neural-network lstm-neural-networks machine-learning neural-network nltk numpy pandas pickle python

Last synced: 11 Apr 2026

https://github.com/pranavsuriya-sr/e-hub_energysystems

Python based Web Application for analysis and visualization of concepts in Energy Systems.

css energy-systems-analysis html javascript matplotlib numpy python schemdraw streamlit

Last synced: 11 Apr 2026

https://github.com/amiriiw/text_classification

Welcome to the Text Classification Project! This project is designed to train a model for classifying texts based on their emotional content and then using it to categorize new texts into corresponding emotional categories.

keras numpy pandas pickle scikit-learn tensorflow text-classification

Last synced: 20 Jan 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