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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/lorenzorottigni/ml-spam-filter

Machine Learning python bootcamp: natural language processing with spam filter purposes

machine-learning npl numpy pandas python scikit-learn seaborn spam-filtering

Last synced: 11 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/psycho-poodle/simple_rnn_imdb

This repository contains a simple web application for sentiment analysis of movie reviews using a pre-trained RNN model. The application is built with TensorFlow and Streamlit, making it easy to use and deploy.

numpy python streamlit tensorflow

Last synced: 11 Apr 2026

https://github.com/blacksujit/neural_network_using_numpy_and_math

Inspired from a repo . i have implemented an some ground level maths and logic . In this neural network no tensorflow , pytorch is used it is just prepared by using numpy and some logical math.

algorithmic-composition basics-of-python calculus criticalthinking innovation machine-learning maths neural-network neuralnetworkusingnumpy numpy purebasics

Last synced: 26 Aug 2025

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/yahiazakaria445/sentiment-analysis-using-lstm

A Sentiment analysis NLP project using LSTM model

matplotlib nltk numpy pandas scikit-learn seaborn tensorflow

Last synced: 11 Apr 2026

https://github.com/alaazameldev/text-based-search-engine

Implementation of a search engine using TF-IDF and Word Embedding-based vectorization techniques for efficient document retrieval

chromadb fastapi gensim-word2vec nltk numpy precision-recall python scikit-learn tf-idf-vectorizer

Last synced: 20 Jan 2026

https://github.com/jaygaha/ai-mastery-roadmap

A collaborative AI learning roadmap. I'm documenting my journey from grasping the fundamentals of Python to mastering Machine Learning. Feel free to fork and contribute — let's build our AI skills together!

artificial-intelligence beginners-guide data-science deep-learning education numpy python python-programming self-taught tutorial

Last synced: 18 Jan 2026

https://github.com/niteshchawla/yulu-hypothesistesting

Yulu has recently suffered considerable dips in its revenues. They have contracted a consulting company to understand the factors on which the demand for these shared electric cycles depends. Specifically, they want to understand the factors affecting the demand for these shared electric cycles in the Indian market.

hypothesis-testing matplot numpy pandas-library scipy-stats seaborn

Last synced: 20 Apr 2026

https://github.com/pakagronglb/istanbul-restaurant-tips-prediction

This project focuses on predicting restaurant tips in Istanbul using machine learning techniques, specifically Linear Regression. The analysis includes data preprocessing, exploratory data analysis (EDA), model training, and evaluation.

kaggle matplotlib numpy pandas prediction python scikit-learn seaborn

Last synced: 08 Apr 2026

https://github.com/engichang1467/cnn-sign-language

Built a Convolutional Neural Network to train to recognize sign languages

kaggle keras matplotlib numpy pandas sklearn tensorflow

Last synced: 14 Apr 2026

https://github.com/ralolooafanxyaiml/neural-evolution-engine

A modular AI evolution simulation engine built with Python and TensorFlow. Uses Deep Learning to predict organism adaptations against environmental threats.

artificial-intelligence deep-learning evolution-simulation keras machine-learning neural-networks numpy oop pandas python scikit-learn simulation tensorflow

Last synced: 07 Jan 2026

https://github.com/klihe/astar-visualization

I am trying to implement *a path finding algorithm and create a visualization of it with Python and numpy library

algorithm astar-algorithm numpy pathfinding pygame python visualization

Last synced: 06 Apr 2025

https://github.com/prakshal0809/machine_learning_algorithms

This project showcases basic machine learning programs I developed during my studies, written in Python, intended for educational use or as a foundation for more advanced projects.

machine-learning matplotlib numpy pandas python

Last synced: 12 Apr 2026

https://github.com/khushi130404/echobot

EchoBot is a chatbot built using TensorFlow to classify user inputs into predefined intents and respond accordingly. It uses a neural network trained with the data in intents.json.

keras nlp nltk numpy pickle tensorflow

Last synced: 12 Apr 2026

https://github.com/urvee1810/eda-time-series

A comprehensive time series analysis of French retail quarterly sales data from 2012 to 2017. The project focuses on analyzing sales patterns, seasonal decomposition, and trend analysis using various statistical techniques and visualizations.

arima-modeling data-visualization exploratory-data-analysis matplotlib numpy pandas pmdarima python scikit-learn seaborn statsmodels time-series-analysis trend-analysis

Last synced: 12 Apr 2026

https://github.com/jvictor011/big-five-personality-test

Usando machine learning para fazer o agrupamento de um sistema de traço de personalidade

matplotlib numpy os pandas python seaborn

Last synced: 07 May 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/alphan26/humidityregressor

This project involves developing a model to predict relative humidity using PyTorch. The model was trained on a dataset containing monthly data, with the goal of forecasting the relative humidity for the subsequent month.

matplotlib numpy pandas python pytorch

Last synced: 11 Apr 2026

https://github.com/theoldvalyria/python_projects

Проекты, направленные на анализ данных Python и АБ-тестирование.

ab-testing matplotlib metrics numpy pandas python scipy seaborn visualisation

Last synced: 06 Jan 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/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/techcsispit/algorithmic-trading

This project focuses on algorithmic training using Python in Jupyter Notebooks. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.

matplotlib numpy pandas python sklearn

Last synced: 04 Sep 2025

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/emhash/machine-learning-and-ai

Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.

ai datasets ipynb jupyter-notebook keras linear-regression logistic-regression machine-learning machine-learning-algorithms numpy opencv pandas python seaborn sklearn tensorflow

Last synced: 05 Jan 2026

https://github.com/mpoojithavigneswari/bangalore-house-price-prediction

This project involves creating a website that predicts Bangalore house prices with 94.65% accuracy using a machine learning algorithm.

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

Last synced: 12 Apr 2026

https://github.com/vasulab/knightshock

Shock tube experiment planning and data analysis package.

cantera data-analysis matplotlib numpy shock-tube

Last synced: 18 Jul 2025

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/otuemre/housepricingml

A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.

eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression

Last synced: 13 Apr 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/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/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/mairagalvao/steak_risk_data

A data analysis based on correlations and comparisons among the samples.

database matplotlib numpy pandas python3 sql

Last synced: 12 Apr 2026

https://github.com/chenshuliu/python-guide-to-numpy

This repository is dedicated to explaining the functionalities of Numpy in Python

data-structures numpy python

Last synced: 18 Jan 2026

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/marcelovilla/fire-congress-2019-tdf-talk

This repository contains the code used for the project presented in the "Fire activity on the Colombian Tropical Dry Forest: an environmental and social perspective" talk during the 8th International Fire Ecology and Management Congress.

earth-observation ecology fire-activity gdal latex matplotlib modis numpy pandas python remote-sensing requests seaborn tikz trmm xarray

Last synced: 12 Apr 2026

https://github.com/azaz9026/machine_learning_algorithms

Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.

machine-learning machine-learning-algorithms numpy pandas python3 seaborn sklearn-library

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/renukadhule/crop_production_python_analysis

This project analyzes crop production data in India from 1997 to 2015, identifying trends, seasonality, and top-performing states and crops. The insights aim to guide improvements in agricultural productivity and policy decisions.

matplotlib numpy pandas python

Last synced: 12 Apr 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/testetson22/abelian_sandpiles

Simple App that implements, builds and tests an approximation of the Abelian sandpile model

github-actions numpy pytest

Last synced: 12 Apr 2026

https://github.com/murugavl/loan_approval_prediction

This project is a Loan Approval Prediction System that uses Machine Learning to determine whether a loan application should be approved or rejected based on various factors. It is deployed using Streamlit for an interactive user experience.

jupyter-notebook machine-learning numpy pandas python random-forest-classifier scikit-learn stremlit

Last synced: 13 Apr 2026

https://github.com/pedasoft-consult/house-price-prediction

This project is a machine learning-powered web application for predicting house prices based on various features such as area, bedrooms, bathrooms, and more. It uses Flask for the backend and HTML/CSS/JavaScript for the frontend.

flask joblib matplotlib numpy pandas r2 random-forest regression seaborn sklearn

Last synced: 13 Apr 2026

https://github.com/dineshdhamodharan24/industrial-copper-modeling

It seems like you have a project that involves modeling industrial copper data using Python and several libraries such as pandas, numpy, and scikit-learn. This is a common and practical approach, as these libraries are widely used for data manipulation, analysis, and machine learning tasks.

bussiness-solution numpy pandas pickle pickle-file seaborn sklearn-library streamlit

Last synced: 13 Apr 2026

https://github.com/alphacrypto246/stock-price-movement-prediction

A project leveraging Polynomial Regression to predict stock price movements based on historical data. Includes data preprocessing, feature engineering, visualization, and model evaluation to provide insights for informed trading decisions.

machine-learning numpy pandas polynomial-regression scikit-learn yfinance

Last synced: 13 Apr 2026

https://github.com/rajsinha7/hand-gesture-recognition

This project serves as a foundation for integrating hand gesture controls into interactive applications like games, presentations, or robotic controls. It features: Real-time hand tracking with MediaPipe Hands and Live visualization of hand landmarks and gesture labels

mediapipe numpy opencv python

Last synced: 13 Apr 2026

https://github.com/mahdibehoftadeh/polynomial-regression-co2-emissions

A simple machine learning polynomial regression using a large dataset to learn and predict CO2 emission of a car by its built features like engine size and cylinders

machine-learning matplotlib numpy nural-network pandas polynomial-regression python scikit-learn

Last synced: 22 Feb 2026

https://github.com/athul64/tmdb-dataset-analysis

This data set contains information about 10,000 movies extracted from TMDB. The dataset contains movies from 1960 to 2015. Including user ratings and revenue. Original data from Kaggle.

data-visualization dataframe eda numpy pandas python

Last synced: 14 Apr 2026

https://github.com/murugavl/customer_churn_prediction

Customer churn prediction is a crucial task in business analytics, helping companies identify customers who are likely to leave and take preventive actions. This project utilizes Machine Learning (ML) techniques to analyze customer behavior and predict churn.

jupyter-notebook machine-learning matplotlib numpy pandas pickle python scikit-learn streamlit

Last synced: 13 Apr 2026

https://github.com/cezlul/analyse-ventes-immobilier

Solution ML d'analyse immobilière parisienne : classification automatique appartements vs commerces (K-means, 91%) et prédiction prix (régression, R²=0.98) sur 26K transactions. Valorise portefeuille 169M€ avec recommandations stratégiques data-driven.

data-analysis jupyter-notebook machine-learning matplotlib numpy pandas python sklearn

Last synced: 13 Apr 2026

https://github.com/danhenriquex/data_science_and_machine_learning

A.I, Data Science & Machine Learning and Deep Learning with Tensorflow

deep-learning deep-neural-networks machine-learning matplotlib numpy pandas tensorflow

Last synced: 13 Apr 2026

https://github.com/joiceo/python

Projetos e exercícios em Python

eda machine-learning numpy pandas python seaborn sklearn

Last synced: 13 Apr 2026

https://github.com/debjyotisaha/data-analytics-projects-phase-1

A set of projects on Data Analysis using Python and its libraries

matplotlib numpy pandas python seaborn sklearn streamlit

Last synced: 13 Apr 2026

https://github.com/hootbu/cyberpunk-filter-desing

This project aims to design filters with a cyberpunk aesthetic by performing low-level image manipulation in Python.

computer-vision image-manipulation matplotlib numpy python

Last synced: 08 May 2026

https://github.com/abideen-olawuwo/nyc-taxi

Prediction the duration of New York Taxi trip

linear-regression matplotlib numpy pandas python seaborn sklearn

Last synced: 11 Apr 2026

https://github.com/harmanveer-2546/predicting-schizophrenia-disorder

The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase

boxplot decisiontreeregressor disorder linearregression matplotlib mean-squared-error numpy pairplot pandas prediction randomforestregressor schizophrenia seaborn train-test-split visualization

Last synced: 13 Apr 2026

https://github.com/shlok-nahar/mnist-cnn-classifier

This repository trains and evaluates three CNN models on MNIST, providing performance comparisons and 5 unique visualizations.

confusion-matrix graph heatmap-visualization json machine matplotlib mnist numpy precision-recall python receiver-operating-characteristic seaborn sklearn tensorflow

Last synced: 13 Apr 2026

https://github.com/paulo-santos-ds/machinelearninglogisticregression

A fraude de cartão de crédito é uma forma comum de fraude que afeta milhões de pessoas em todo o mundo. Essa fraude pode ter consequências graves, tanto para as vítimas quanto para as instituições financeiras que emitem os cartões de crédito.

math matplot numpy pandas python3 sklearn

Last synced: 13 Apr 2026

https://github.com/max134/deepplate

A custom-trained YOLOv11-based license plate detection with PaddleOCR for accurate ANPR.

computer-vision cv2 deep-learning image-recognition licesnse-plate-recognition numpy object-detection ocr paddleocr real-time-processing sqlite3 ultralytics yolov11

Last synced: 13 Jul 2025

https://github.com/subhas-pramanik-09/car-detection-and-counting

This project counts the number of cars passing through a designated line in a video file using OpenCV and background subtraction techniques.

machine-learning numpy object-detection opencv

Last synced: 13 Apr 2026

https://github.com/amir0234-afk/housing-price-prediction-dnn

Keras + NumPy baselines for housing price regression

keras numpy regression

Last synced: 13 Apr 2026

https://github.com/harmanveer-2546/credit-card-fraud-detection

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

ann catboost-classifier eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xbg

Last synced: 13 Apr 2026

https://github.com/n1k1f0rm/ml-predicts

Place where you can find in transparent way how ML algos works

machine-learning ml numpy python

Last synced: 21 Apr 2026

https://github.com/iv4n-ga6l/Crowd-move-simulation

Crowd move simulation in python

matplotlib numpy python simulation

Last synced: 28 Apr 2025

https://github.com/lmtreser/intro-data-science

Trayecto de formación en Ciencias de Datos con Python y Pandas

data-science matplotlib numpy pandas python seaborn

Last synced: 13 Apr 2026

https://github.com/ot-code/coca-cola-stock-prediction

This repo compares four predictive models—Linear Regression, ARIMA, XGBoost, and LSTM—to forecast Coca‑Cola FEMSA stock closing prices using Python and five years of historical data.

arima csv linear-regression lstm-neural-networks mae matplotlib mse numpy pandas python r2 scikit-learn seaborn tensorflow-keras xgboost

Last synced: 13 Apr 2026

https://github.com/csengupta1101/netflix-rating

The project revolves around Netflix shows and movies around the world. The problem statement that is being tried to address here is that what kind of show to come up with in future times and how well that will fit with the audience

jupyter-notebook matplotlib movies netflix numpy pandas plotly python python3 rating tvseries

Last synced: 13 Apr 2026

https://github.com/5hraddha/eda-instacart-customers-shopping-habits

In this Exploratory Data Analysis (EDA) project we'll clean up the data and prepare a report that gives insight into the shopping habits of Instacart customers.

data-visualization exploratory-data-analysis instacart matlpotlib numpy pandas

Last synced: 13 Apr 2026

https://github.com/paulo-freitas-junior/ifood-dev-week2023

Repositório sobre a Dev Week iFood sobre uso de Python e Inteligência Artificial para realização de cálculo de NPS ( Net Promoter Score ) e a utilização de IA para análise de sentimentos dos comentários usando tecnologia do ChatGPT-4.

bert chatgpt colab-notebook matplotlib nltk numpy pandas python textblob-sentiment-analysis

Last synced: 13 Apr 2026

https://github.com/cyb3r-jak3/docker-alpine-pandas

Python alpine image with pandas, and numpy installed

alpine-image numpy pandas-python python-alpine

Last synced: 30 May 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