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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/macagua/entrenamiento.data_scientist_python

Repositorio de manuales y recursos del entrenamiento "Data Scientist en Python" realizado por Leonardo J. Caballero G.

data-analytics data-scientist data-visualization numpy pandas-dataframe python37 streamlit

Last synced: 01 May 2026

https://github.com/cchandre/rg

Renormalization for the break-up of invariant tori in Hamiltonian flows

expm hamiltonian hamiltonian-dynamics invariant-tori kolmogorov-arnold-moser numpy python3 renormalization-group scipy

Last synced: 01 May 2026

https://github.com/nekruzash/machine-learning-decision-trees

This is from CS2023 - AI/DS/ML class, trained a machine learning model with heart disease data sets to predict a correlation using numpy and pandas.

jupyter-notebook numpy pandas python

Last synced: 02 May 2026

https://github.com/prashver/titanic-survival-prediction

This project tackles the Titanic challenge on Kaggle, predicting passenger survival based on variables like age, sex, and passenger class. The Jupyter notebook covers essential steps of a data science pipeline, including exploratory data analysis, data cleaning, feature engineering, and modeling. The dataset used is the Titanic dataset.

classification-algorithm machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn

Last synced: 02 May 2026

https://github.com/iv4n-ga6l/realtime-car-traffic-tracking

Realtime car traffic tracking using yolov8 model

cartracking numpy opencv python ultralytics yolov8 yolov8n

Last synced: 02 May 2026

https://github.com/itzzmeakhi/investigate-tmdb-dataset

Tmdb dataset is taken to perform analysis. Messy data is cleaned by performing many steps like dropping null values and rising values and analyzing correlation among them using visualization techniques using matplotlib and seaboarn to derive the answers that i imposed during the early stages of analysis.

csv matplotlib numpy pandas python3 seaborn

Last synced: 03 May 2026

https://github.com/utkarsh-284/deep-learning

This repository contains the documents and main project file needed for building DNN from scratch using NumPy.

data-science deep-learning deep-neural-networks machine-learning mnist mnist-handwriting-recognition neural-networks numpy python3

Last synced: 03 May 2026

https://github.com/muralisuvvani/airbnb-exploratory-analysis

Exploratory Data Analysis (EDA) on Airbnb NYC dataset to uncover trends, patterns, and insights. Data cleaning and visualization of Airbnb listings in New York City. Analyzing Airbnb NYC 2019 dataset using Python (Pandas, Numpy, Matplotlib, Seaborn)

analytics data-visualization exploratory-data-analysis numpy pandas python3

Last synced: 04 May 2026

https://github.com/megha060199/academic-erp

Python, SQL, Javascript

mysql numpy python

Last synced: 04 May 2026

https://github.com/h3ar7b3a7/exploringjupyterlab

This is just an exploration in using Jupyter Lab, Notebook and some useful Python libraries. Some basic commands, markups and extensions setup are documented here too.

bokeh extensions jupyterlab matplotlib notebook-jupyter numpy pandas

Last synced: 04 May 2026

https://github.com/harmanveer-2546/predicting-customer-churn-for-a-telecom-company

Customer churn is a significant issue for big business companies. Companies are attempting to create methods for predicting customer churn to get a direct impact on getting more revenues, particularly in telecom companies.

ann autoencoder churn-prediction customer-churn-prediction encoding mlp model-building-and-evaluation numpy os pandas standardization

Last synced: 04 May 2026

https://github.com/himel-sarder/complete-numpy

A comprehensive guide to mastering NumPy with practical examples and applications in machine learning. Perfect for learners and developers looking to deepen their knowledge of numerical computations in Python.

data-science dataanalysis machine-learning ml numpy numpy-exercises numpy-library numpy-python numpy-tutorial pythonlibrarires

Last synced: 04 May 2026

https://github.com/flazefy2/ds-global_cybersecurity_threats

https://www.kaggle.com/datasets/atharvasoundankar/global-cybersecurity-threats-2015-2024

data-science data-visualization numpy python squarify statistics

Last synced: 05 May 2026

https://github.com/winter000boy/my-project-portfolio

Welcome to My Project Portfolio! This repository is a comprehensive collection of my work in Java programming, Python development, Machine Learning (ML), Artificial Intelligence (AI), and Web Development. Organized for ease of access, this portfolio highlights innovative and practical projects tailored to solve real-world challenges.

ai artificial-intelligence artificial-neural-networks bootstrap data-science deep-learning flask-application java-projects machine-learning numpy pandas-python potfolio-site python-projects python3 spring-boot tkinter-gui web-development

Last synced: 05 May 2026

https://github.com/mauriciovazquezm/machinelearning_course_spring2023

Machine Learning course tasks focused on the implementation of the ML algorithms using libraries such as Numpy, Pandas, etc.

machine-learning machine-learning-algorithms numpy python r-language

Last synced: 05 May 2026

https://github.com/kiritoind/neural-network-for-cat-image-classification

This script defines essential functions for constructing a deep neural network from scratch for image classification. It includes activation functions like sigmoid and ReLU, data loading from H5 files, parameter initialization, forward and backward propagation for training, gradient descent for parameter updates, and functions for prediction

classification computer-vision deep-learning deep-neural-networks jupyter-notebook numpy python

Last synced: 05 May 2026

https://github.com/myounus-codes/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression

In this project I have cleaned the data for the model. Project Google Colab Link: https://colab.research.google.com/drive/1vQY-XEFJSdEkW2PQOSf1j13Yk8L-XXNw?usp=sharing

algorithms data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python

Last synced: 05 May 2026

https://github.com/lintangwisesa/python_recommendation_system

Basic recommendation system using Python & Sklearn

numpy pandas python recommendation-system sklearn

Last synced: 05 May 2026

https://github.com/mmsaki/whale_portfolio

Determine which Whale portfolio is performing the best across multiple areas: volatility, returns, risk and Sharpe ratios.

datetime finance jupyter-notebook matplotlib numpy pandas pathlib python quantitative-finance seaborn stock-market trading-strategies

Last synced: 06 May 2026

https://github.com/rudrakshi99/movie-recommendation-system

Movie recommendation system using machine learning and predict user ratings for the movies.

dataframes machine-learning matplotlib numpy pandas seaborn

Last synced: 07 May 2026

https://github.com/sudipbishwakarma/bulk-remove-onesignal-users

Bulk remove OneSignal subscribed users blazingly faster with parallel processing.

numpy pandas python python-logger python-multiprocessing python-threading python3

Last synced: 07 May 2026

https://github.com/henriqueotogami/curso-de-python3-udemy

Documentos do curso de Python 3, com arquivos das aulas, e Jupyter Notebook. Conceitos de Machine Learning.

iris-dataset jupyter-notebook linear-regression numpy pandas-python python3 udemy

Last synced: 08 May 2026

https://github.com/haloapping/sharing-tipis-tipis

#sharingtipistipis 📗 catatan ketika belajar machine learning, deep learning dan masih banyak lagi.

caring deep-learning machine-learning numpy pandas scikit sharing

Last synced: 09 May 2026

https://github.com/hemilkaklotar/num-plot

Python Libraries Tutorials for Numpy and Matplotlib

matplotlib numpy patterns python

Last synced: 09 May 2026

https://github.com/k-ibadullaev/py-ssa-lib

Py-SSA-Lib: Python implementation of the multichannel singular spectrum analysis (MSSA) and singular spectrum analysis (SSA)

mssa numpy python singular-spectrum-analysis ssa time-series time-series-analysis time-series-forecasting

Last synced: 10 May 2026

https://github.com/michaelfeil/lstm-dlnn2020

Character-LSTM implementation in Numpy

lstm nlp-machine-learning numpy

Last synced: 14 May 2026

https://github.com/arjunravi26/image-editor

A dajngo based image manipulation webiste

django jsonresponse numpy opencv pillow

Last synced: 17 Jun 2026

https://github.com/hansalemaos/cythonsequencefinder

Module for finding sequences in arrays using Cython and NumPy.

cython finder locate numpy sequence

Last synced: 17 Jun 2026

https://github.com/duoan/dl-bike-sharing-demand

ractice neural network implemented just with numpy for Kaggle Bike Sharing Demand

bike-sharing bike-sharing-demand deep-learning kaggle neural-network numpy udacity-deep-learning

Last synced: 18 Jun 2026

https://github.com/platonn/comp-photography

Computational Photography course - University of Wroclaw

computational-photography image-processing numpy university-course

Last synced: 19 Jun 2026

https://github.com/m-aadhi/game-review-sentiment-analysis

This project aims to analyze and predict the sentiment of game reviews using natural language processing (NLP) and machine learning techniques. The objective is to determine whether a review is positive, negative, or neutral based on its content.

matplotlib numpy pandas-library python

Last synced: 19 Jun 2026

https://github.com/alicankaya192/deep_learning_path

Sıfırdan ileri seviyeye Deep Learning yol haritası. 11 modül: PDF + Python + Jupyter Notebook. NumPy · TensorFlow · PyTorch karşılaştırmalı implementasyonlar.

artificial-intelligence cnn data-science deep-learning gan jupyter-notebook lstm machine-learning neural-networks numpy python pytorch rnn tensorflow transformer

Last synced: 21 Jun 2026

https://github.com/kr1shnasomani/DeepDetect

Traffic light, vehicle and human detection from aerial images using YOLOv8 model and Computer Vision

computer-vision deep-learning neural-network numpy opencv yolov8

Last synced: 03 Sep 2025

https://github.com/lupin3000/augmentedreality

Introduction into augmented reality (AR) with Python OpenCV ArUco markers.

aruco aruco-marker camera-calibration marker-detection numpy opencv pose-estimation python

Last synced: 13 Apr 2026

https://github.com/tkc/node-neural-network

Built with only pure typescript, neural network iris sample.

javascript machine-learning neural-network node numpy typescript

Last synced: 09 Apr 2026

https://github.com/parthshah02/customer_churn_dashboard

This repository features a comprehensive project showcasing data analysis and interactive dashboard using Python

data-analysis matplotlib numpy pandas python

Last synced: 13 Apr 2026

https://github.com/alwaysvivek/next-word-prediction

🔮 Predicts the next word in a text sequence using either an N-gram statistical model or an LSTM-based neural network.

argparse laplace-smoothing machine-learning neural-network ngrams nlp nltk numpy python3 tensorflow

Last synced: 12 Apr 2026

https://github.com/marvin-vw/3dengine_python

3D engine written in Python using OpenCV and NumPy

3dengine numpy opencv python

Last synced: 04 Feb 2026

https://github.com/omogbolahan94/google-play-store-app-analysis

Data exploration, data cleaning, interactive data visualisation and insight presentation

matplotlib numpy pandas plotly

Last synced: 11 May 2026

https://github.com/lexxai/goit_python_ds_hw_05

Метод опорних векторів -Support Vector Machine, SVM. Дерева рішень - RandomForestClassifier, XGBClassifier

classification numpy pandas python random-forest-classifier reporting scikit-learn svm-classifier svm-model xgbclassifier

Last synced: 12 Apr 2026

https://github.com/mohith-2002/plotchart

PlotChart is a web application created by the Python library Streamlit.

matplotlib numpy pandas python streamlit

Last synced: 12 Apr 2026

https://github.com/leavers/npblob

Transfer numpy array between Python and JavaScript losslessly

array javascript matrix numpy python streaming typescript

Last synced: 06 May 2026

https://github.com/windjammer6/7.-numpy-pandas-matplotlib-learning-and-practice-python

My learning journey of Python's Libraries NumPy, Pandas and Matplotlib

matplotlib numpy pandas python

Last synced: 08 May 2026

https://github.com/abdelrahman-amen/active_learning_with_different_query_strategies

This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.

activelearning cuda entropy kldivergence margin numpy python pyto uncertainty

Last synced: 06 May 2026

https://github.com/kostadinlambov/time-series-forecasting

This project evaluates the predictive performance of a CNN-LSTM Hybrid deep learning model for Bitcoin price movement prediction.

keras-tensorflow matplotlib-pyplot mlflow numpy optuna pandas python scikit-learn seaborn statsmodels ta-lib tensorflow

Last synced: 07 Apr 2026

https://github.com/disney35/stock-prices-dashboard

A dashboard to analyze, predict, and visualize stock prices using Python & LSTM

ema jupyter-notebook keras macd matplotlib-pyplot mfi numpy pandas python rsi scikit-learn sma streamlit tenserflow yfinance

Last synced: 12 Apr 2026

https://github.com/sweta-kaundilya/finance-data-project

This data project focuses on exploratory data analysis of bank stock prices throughout financial crisis all the way to early 2016.

financial-analysis jupyter-notebook matplotlib numpy pandas-python seaborn

Last synced: 16 May 2026

https://github.com/vishal-verma-96/Honey_Production_Analysis_using_Python

In this project, I analyzed U.S. honey production from 1998 to 2021 across different U.S. cities, explored yields, and examined production values using Matplotlib and Seaborn visualizations.

matplotlib numpy pandas python-3 python-visualization seaborn

Last synced: 19 Apr 2025

https://github.com/yashpaneliya/bank-loan-default-analysis

Analyze and understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default.

data-analysis loan-default-analysis matplotlib numpy pandas python

Last synced: 06 May 2026

https://github.com/bhuvilol/objdetect_img

Object Detecttion from a image input

numpy opencv python3 pytorch yolov8

Last synced: 04 Feb 2026

https://github.com/18mahi/tweet-sentiment-analysis

Classify tweets into happy, sad, angry, excited, and neutral with this interactive Python model. Combining TF-IDF text features with engineered numeric features like emoji sentiment, polarity, subjectivity, and punctuation counts, it demonstrates intermediate-level NLP, feature engineering, and visualization skills.

data-science data-visualization jupyter-notebook machine-learning matplotlib nlp numpy pandas sklearn string textblob

Last synced: 30 Apr 2026

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

The project highlights the end-to-end workflow of data preprocessing, model building, evaluation, and comparison for a healthcare prediction task.

biomedical-applications biomedical-data-science biomedical-engineering classification deep-learning machine-learning neural-networks numpy pandas prediction python seaborn sklearn tensorflow

Last synced: 15 Apr 2026

https://github.com/tigureis/aula_deployment

This project not only demonstrates a machine learning pipeline but also serves as a template for deploying models into production. By leveraging the project's structure and code, you can streamline the process of deploying your own machine learning models.

numpy pandas pickle sklearn

Last synced: 11 Apr 2026

https://github.com/aadrianleo/book-recommendation-system

Book Recommender System using the Book-Crossing dataset. Compares content-based (TF-IDF + cosine similarity) and collaborative filtering (SVD) methods for book recommendations. Includes data cleaning, EDA, and model evaluation (Precision@5, RMSE) in Python.

artificial-intelligence collaborative-filtering content-based-filtering cosine-similarity data-preprocessing jupyter jupyter-notebook machine-learning matrix-factorization numpy pandas predictive-modeling python3 recommendation-system recommender-system scikit-learn sckit-surprise

Last synced: 10 Apr 2026

https://github.com/npodlozhniy/dl-tinkoff

This is a warehouse of my homeworks for master MIPT deep learning course from Tinkoff FinTech

deep-learning numpy pytorch

Last synced: 08 May 2026

https://github.com/alphan26/breastcancerclassification

This project involves a binary classification problem where we applied PyTorch to detect breast cancer.

matplotlib numpy pandas python pytorch

Last synced: 11 Apr 2026

https://github.com/thkox/uni_2023-content-based-image-retrieval

This project is a team assignment for the "Image Analysis" course, offered in the 7th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.

7th-semester cartesian-product content-based-image-retrieval department-of-informatics hyperedge-similarity-calculation hypergraph image-analysis matplotlib networkx numpy python rank-normalization scipy torchvision university-of-piraeus

Last synced: 08 Oct 2025

https://github.com/samuel-schlemper-schlemuel/calculadora-de-media-variancia-e-desvio-padrao

Esse é um projeto do currículo do curso de analise de dados do FreeCodeCamp

numpy python

Last synced: 11 May 2026

https://github.com/omarsaad21/shopping-cart-eda

An EDA python project focusing on getting the most out of a movies dataset (- 1- combine this data together - 2- check messing values - 3- show summary statistics - 4- deal with date time and extract features from dates - 5- answer at least three questions from this data)

eda jupyter-notebook numpy pandas plotly python

Last synced: 13 Apr 2026

https://github.com/ben854719/autonomous-health-monitoring-emergency-response

This app uses Bluetooth to link a worker’s smartphone with a supervisor’s laptop for live health monitoring. PySyft handles secure biometric authentication, while machine learning detects injuries and visualizes them on a dashboard. Agentic AI responds to critical events by triggering emergency protocols and contacting 911 with location data.

agentic-ai bluetooth cryptography cybersecurity error-handling gemini langgraph machine-learning-algorithms matplotlib mcpserver nltk numpy pysyft python pytorch socket tcp tenseal

Last synced: 28 Apr 2026

https://github.com/stella4444/linear-regression

learning about linear regression (currently a work in progress) ~ working with data

linear-regression machine-learning numpy scikit-learn

Last synced: 20 Jan 2026

https://github.com/hariprasath-v/av-dataverse-hack---insurance-claim-prediction

Create a machine learning model to predict if the policyholder will file a claim in the next 6 months or not based on the set of car and policy features.

analyticsvidhya classification exploratory-data-analysis f1-score matplotlib numpy pandas python randomforest-classification scikit-learn seaborn shap

Last synced: 11 Apr 2026

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

Naive Bayes Email Classifier: An implementation of a 'hard' Naive Bayes classifier in Python to categorize emails as spam or ham. This code performs extensive data preprocessing, probability calculations, and model training for email classification using the raw Naive Bayes algorithm.

ai emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering

Last synced: 11 Apr 2026

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

In this project, we focus on developing a machine learning model to detect fraudulent transactions within credit card data. Credit card fraud poses a significant challenge to financial institutions and consumers globally, with traditional rule-based detection systems often struggling to adapt to new fraud tactics.

matplotlib numpy pandas python scikit-image seaborn

Last synced: 16 Feb 2026

https://github.com/snghrsw/kikagaku-ml-learning

Pythonで単回帰分析と重回帰分析、ディープラーニングで回帰と分類

liner-regestion multiple-regression numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/trim0500/fe-stats-classifier

An experiment to create a machine learning model via PyTorch to classify select Fire Emblem unit base stat distributions.

creational-patterns data-analysis data-science data-visualization design-patterns excel jupyter jupyter-notebook matplotlib-pyplot numpy pandas python python-modules python3 pytorch singleton

Last synced: 11 Apr 2026

https://github.com/rachakondaganesh/superstore-sales-data-analysis-project

Analyzed retail sales data to uncover key business insights using Python and Power BI. Explored patterns in profit, sales, and customer segments across regions. Built interactive dashboards to visualize trends, identify top-performing categories, and highlight areas for improvement in shipping and discount strategies.

dashboard exploratory-data-analysis matplotlib-pyplot numpy pandas powerbi seaborn

Last synced: 02 May 2026

https://github.com/amish5ingh/cricket-data-analytics-ipl

Data analysis and visualization of IPL 2022 matches using Python, Pandas, Matplotlib, and Seaborn. Includes insights on match outcomes, player performances, toss trends, and venue stats with 12+ charts.

data-analysis data-visualization ipl-data-analysis ipl-data-visualization jupiter-notebook matplotlib-pyplot numpy pandas python seaborn

Last synced: 09 May 2026

https://github.com/nikhleshshukla123/web-scraping-using-python

scrapes multiple pages of Amazon search results using python.

beautifulsoup4 numpy pandas python

Last synced: 03 May 2026

https://github.com/pd2871/streamlit_automl

Auto Exploratory Data Analysis using Streamlit App

matplotlib numpy pandas python streamlit streamlit-webapp

Last synced: 11 Apr 2026

https://github.com/faisal-khann/ipl-analysis

The IPL Analysis project is a comprehensive data-driven exploration of the Indian Premier League (IPL), analyzing historical match data to uncover patterns in team performance, player statistics, and match outcomes.

data-analysis exploratory-data-analysis jupyter-notebook matplotlib numpy pandas seaborn

Last synced: 08 May 2026

https://github.com/armahdavi/analytics_statistics_ml_plotting_dust_extraction_hvac_filters_ph2

PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available

data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics

Last synced: 14 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 52 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 37 🎲 Statistics & Probability 34 Videos 34 🚀 MLOps 31