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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/poornesh-v/bank-customer-churn-prediction-system

The repository is meant to predict customer churn in a banking dataset based on transaction history and demographics.

jupyter-notebook matplotlib numpy pandas-python python seaborn

Last synced: 11 Apr 2026

https://github.com/adityashinde716/liam-the-healthcare-chatbot

Made a healthcare chatbot Liam which will help you to detect your health problem and gives precautions.

csv numpy pandas python python3 random random-forest random-forest-classifier requests sklearn sklearn-library sklearn-model

Last synced: 05 May 2026

https://github.com/djleamen/music-mood-matcher-demo

An intelligent music recommendation system that analyzes your mood through natural language and suggests personalized playlists using advanced AI and machine learning techniques.

demo machine-learning matplotlib ml natural-language-processing nlp nltk nltk-python numpy openai pandas python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/aarryasutar/linear_multivariate_regression_on_football_statistics

Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.

datasets feature-selection football-stats linear-reg machine-learning mae mse multivariate-regression numpy pandas rmse scatter-plot train-test-split

Last synced: 14 Apr 2026

https://github.com/camilajaviera91/apache-beam-pipeline-first-approach

This code demonstrates how to integrate Apache Beam with scikit-learn datasets and perform simple data transformations. It loads the Linnerud dataset from scikit-learn, converts it into a Pandas DataFrame for easier manipulation.

apache-beam dataframes glob kmeans-clustering matplotlib-pyplot mean-absolute-error mean-square-error numpy os pandas pipelines scipy-stats seaborn silhouette-score sklearn sklearn-datasets standardscaler

Last synced: 28 Apr 2026

https://github.com/virajbhutada/google-stock-price-forecasting-lstm

Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.

data-analysis data-science data-visualization future-prediction google-dataset google-stock-price-prediction google-stocks lstm-model lstm-neural-network machine-learning machine-learning-models matplotlib model-building model-training numpy python stock-forecasting

Last synced: 27 Feb 2025

https://github.com/ashar97/financial-engineering

Financial Engineering Practicum Assignments

financial-engineering matlab numpy pandas python r yahoo-finance

Last synced: 11 Apr 2026

https://github.com/prakashjha1/stock-trend-prediction

Deep learning for predicting stock market prices and trends has become even more popular than before. I have used yahoo finance to collect the data and LSTM to build the stock trend model.

deep-learning keras lstm lstm-neural-networks machine-learning numpy pandas pandas-datareader prediction python rnn tensorflow

Last synced: 11 Apr 2026

https://github.com/m-faizan-mahmood/detailed-exploratory-data-analysis-eda-marketing-recomendations.

This project focuses on cleaning, preprocessing, and analyzing data using Pandas and NumPy. Key steps include handling missing values, removing outliers, feature engineering, and exploratory data analysis (EDA). Visualizations with Matplotlib and Seaborn highlight trends in customer spending, campaign performance, and product sales.

big-data data-analysis data-processing data-science eda exploratory-data-analysis numpy pandas python

Last synced: 11 Apr 2026

https://github.com/christophercrouzet/nani

Alternative approach to defining and viewing NumPy's arrays.

dtype nani numpy view wrap

Last synced: 14 Apr 2026

https://github.com/tom-mohr/clevertable

Consistent, intelligent transformation of text-based tabular data into numerical data.

conversion data-science numpy pandas python

Last synced: 06 May 2026

https://github.com/matx64/rs-netbot

Old School Runescape bot with CNN for object identification

cuda numpy python pytorch

Last synced: 04 May 2026

https://github.com/mdaiyub/covid-19-detection

The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019 has caused immense damage to health and global well-being. Currently, there are approximately five million confirmed cases and the novel virus is still spreading rapidly all over the world. The chest X-ray images along with emerging Artificial Intelligence (AI) methodologies, in particular, Deep Learning (DL) algorithms have recently become a worthy choice for early COVID-19 screening. This work proposes a DL-assisted automated method using X-ray images for the early diagnosis of COVID-19 infection. We evaluate the effectiveness of the pre-trained Convolutional Neural Network (CNN) model. The model has been validated on publicly available chest X-ray images and it is obtained by CNN with an accuracy of 97.26%. This study will be useful for researchers to think about the design of more effective CNN-based models for early COVID-19 detection.

backend early-stopping global keras matplotlib modelcheckpoint numpy os pandas tensorflow

Last synced: 02 Apr 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: 31 Mar 2025

https://github.com/sarincr/introduction-to-pyqt5

PyQt5 is a comprehensive set of Python bindings for Qt v5. Qt is set of cross-platform Python libraries that implement high-level APIs for accessing many aspects of modern desktop and mobile systems.

app appdevelopment data-science kivy kivymd machine-learning numpy opengl pygui pyqt pyqt5 pyqt5-desktop-application pyqt6 pyside2 scipy tensorflow tkinter tkinter-graphic-interface tkinter-gui tkinter-python

Last synced: 13 Apr 2026

https://github.com/asanka-j/machine_learning_exercises

Machine learning Self study Python & R

matplotlib numpy pandas python r sklearn

Last synced: 12 Apr 2026

https://github.com/nirmalvatsyayan/data-analyst-nanodegree

Udacity data analyst nanodegree project submissions and learning

data-analysis numpy pandas python statistics udacity-data-analyst-nanodegree

Last synced: 12 Apr 2026

https://github.com/rkarahul/vehicle-number-plate-detection-and-ocr-reading-using-opencv-and-paddleocr

complated Vehicle Number Plate Detection and OCR Reading Using OpenCV and PaddleOCR

numpy opencv paddleocr paddlepaddle pandas python

Last synced: 12 Apr 2026

https://github.com/nguyenanhtuan1912/computer_vision_exercises

Trong này sẽ chứa các file source về bài tập Computer Vision.

computer-vision numpy opencv python

Last synced: 12 Apr 2026

https://github.com/balaji24092001/python

All python related content: notes, problems, progress archive.

matplotlib numpy opencv pandas python3 scipy-stats seaborn sklearn sqllite

Last synced: 12 Apr 2026

https://github.com/singhmnprt01/Custom-Deep-Neural-Network-Package

A custom deep neural network package that gives the liberty to design your deep neural network using only NumPy

customized-deep-neural-network deep-learning-framework maths-behind-neural-network numpy

Last synced: 09 Jul 2025

https://github.com/paulo-santos-ds/dados-telefonia

Este projeto tem como objetivo desenvolver um modelo que possa analisar o comportamento do cliente e recomendar um dos planos mais recentes de uma companhia telefônica fictícia.

matplotlib numpy pandas python3 sklearn

Last synced: 12 Apr 2026

https://github.com/pandeyankit123/books-recommender-system-using-machine-learning

This is a streamlit web application that can recommend various kinds of similar books based on an user interest.

jupyter-notebook machine-learning numpy pandas pickle python streamlit

Last synced: 12 Apr 2026

https://github.com/nemeslaszlo/lending-club-analysis

Lending Club analysis, with a model that can predict whether or nor a borrower will pay back their loan.

binary-classification classification data-visualization keras matplotlib numpy pandas seaborn tensorflow

Last synced: 12 Apr 2026

https://github.com/lasithaamarasinghe/movie-recommender-system

This ML model recommends movies that may align with the user's preferences based on TF-IDF matrix.

jupyter-notebook machine-learning movie-recommendation movielens-dataset numpy pandas python regex scikit-learn tf-idf-vectorizer

Last synced: 12 Apr 2026

https://github.com/aahnik/gdsc-ml-ds-bootcamp-2023

This repo contains files given by my seniors as well as assignments and final project done by me during the bootcamp.

data-science machine-learning ml numpy pandas python3 scikit-learn

Last synced: 28 Oct 2025

https://github.com/Willie-Conway/Data-Science-Tools-and-Ecosystem

🧠 Explore essential Data Science 🧪 tools, 🧰 libraries, and 🐍 Python arithmetic basics — perfect for beginners!

data-science jupyter keras notebooks numpy pandas python pytorch

Last synced: 12 Jun 2025

https://github.com/danhenriquex/data-science-project

The main goal of this project was to apply the concepts of data visualization and analysis.

data-analysis data-science numpy pandas python

Last synced: 12 Apr 2026

https://github.com/hamdaniqhmqd/sistem-cerdas

I use this repository for my storage, especially in the intelligent systems course in semester 3

matplotlib numpy pandas python streamlit

Last synced: 20 Apr 2026

https://github.com/linggarm/smart-caloriemax

A web app that utilizes Genetic Algorithms to generate a list of foods offering maximum calorie content within a specified budget.

artificial-intelligence css evolutionary-algorithms flask genetic-algorithms html javascript knapsack-problem machine-learning numpy python

Last synced: 12 Apr 2026

https://github.com/esvs2202/credit-card-fraud-detection-system

This fraud detection system is powered by a Machine Learning model, which accurately identifies whether an initiated transaction is fraudulent.

azurewebapp flask gunicorn-web-server html-css machine-learning matplotlib-pyplot numpy pandas powerbi python3 randomforestclassifier seaborn

Last synced: 12 Apr 2026

https://github.com/ngirimana/ml_knn

Welcome to the KNN Project! This will be a simple project very similar to the lecture, except you'll be given another data set. Go ahead and just follow the directions below.

artificial-intelligence knn-algorithm knn-classification knn-classifier machine-learning matplotlib numpy pandas python3 searbon

Last synced: 12 Apr 2026

https://github.com/bunu23/image-classification-resnet50-streamlit

This project demonstrates an image classification system using ResNet50, fine-tuned on a custom dataset. It includes a Streamlit application for user interaction, allowing image uploads and classification results. It integrates Google's generative AI models for enhanced analysis.

cnn deep-learning generative-ai keras matplotlib numpy pillow python resnet-50 streamlit tensorflow

Last synced: 07 Apr 2026

https://github.com/shahinuralambhuiyan/learning-ml

Start learning Machine Learning basic from CodeBasics Channel

anaconda jupyter-notebook kaggle-dataset matplotlib numpy pandas pip python

Last synced: 12 Apr 2026

https://github.com/gracysapra/pandas-numpy-data-visualisation

This repository contains essential Python scripts and notebooks for data analysis and visualization. It includes: pandas: Data manipulation and analysis, including operations on series and dataframes. NumPy: Efficient numerical computations and array processing. Data Visualization: Creating insightful visualizations using Matplotlib and Seaborn.

data-science data-visualization matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-series seaborn

Last synced: 07 May 2026

https://github.com/prashver/stock-price-prediction-lstm

Using Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM), this project predicts Nestle India stock prices. The dataset spans from May 18, 2018 to May 20, 2022, and results are visualized using matplotlib.

keras lstm-model matplotlib numpy pandas recurrent-neural-network

Last synced: 12 Apr 2026

https://github.com/kavayk29/quora-duplicate-question-pair

This project improves information retrieval by detecting duplicate question pairs in the Quora dataset using data exploration, text preprocessing, feature engineering, and models like Random Forest and LSTM, aiming to streamline question-answering.

beautifulsoup4 bilstm gensim keras lstm matplotlib numpy pandas pytorch random-forest seaborn sklearn tensorflow xgboost

Last synced: 21 Jan 2026

https://github.com/datarohit/garbage-image-classification

This is Garbage Image Classification End-To-End Project built using Python and Streamlit.

cnn-classification cnn-keras inceptionv3 keras-tensorflow matplotlib numpy

Last synced: 30 Apr 2026

https://github.com/felixsoderstrom/perceptron-for-ocr

Training an AI model to recognize handwritten digits

ai backpropagation machine-learning neural-network numpy pytorch

Last synced: 23 Apr 2025

https://github.com/pranav-bot/ml-dl-models-from-scratch

This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations

deep-learning descion-tree from-scratch linear-regression logistic-regression machine-learning naive-bayes neural-networks numpy perceptron pytorch qlearning random-forest regression reinforcement-learning support-vector-machines svm

Last synced: 15 Apr 2026

https://github.com/iver56/cython-region-growing

A quick experiment: Region growing (AKA flood fill) algorithm implemented in Cython and Python

benchmark cython flood-fill numpy python region-growing

Last synced: 25 Apr 2026

https://github.com/manjillama/machine-learning-101

Introduction to machine learning, conda environment, Jupyter Notebook, Pandas, NumPy and Matplotlib.

conda-environment jupyter-notebook machine-learning matplotlib numpy pandas python

Last synced: 13 Apr 2026

https://github.com/nemeslaszlo/dog_breed_identification

Dog breed identification model to identify and label 120 different dog breeds.

matplotlib numpy pandas tensorflow tensorflow-hub

Last synced: 13 Apr 2026

https://github.com/Vice777/SAFE-HEART

Classify the chances of having a Heart Attack based on your Heart's Condition.

kaggle machine-learning matplotlib mlfromscratch mlp-classifier multilayer-perceptron-network numpy pandas pickle streamlit streamlit-webapp

Last synced: 11 Mar 2025

https://github.com/gitfrandu4/40982-p1

Repositorio de la Práctica 1 en Visión por Computador, explorando el uso de OpenCV para crear imágenes artísticas, manipular píxeles y capturar video. Incluye ejercicios como diseño de un tablero de ajedrez, estilo Mondrian, y un efecto “Pop Art” con la cámara web.

computer-vision image-processing mondrian-style numpy opencv pop-art python visual-art webcam-capture

Last synced: 09 Apr 2026

https://github.com/dantasl/probabilidade-analise

Análise sobre o desempenho dos discentes na disciplina Resolução de Problemas Matemáticos Para Tecnologia da Informação (RPMTI) nos semestres de 2015.2, 2016.1 e 2016.2

data-science numpy pandas probability

Last synced: 13 Apr 2026

https://github.com/epsoft/ner

NER

ner numpy pandas

Last synced: 04 May 2026

https://github.com/sebsikora/curve_fitting

A short guide to using Python tools to perform arbitrary curve-fitting of research data via constrained minimisation.

curve-fitting minimisation numpy optimisation python scipy

Last synced: 13 Apr 2026

https://github.com/urme-b/multimodal-multisensor

Longitudinal neurophysiological study of adult psychometric testing.

keras matplotlib numpy pandas python pytorch scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/harmanveer-2546/dust-detection-on-solar-panel-using

The accumulation of dust, snow, bird drops etc. on the surface of solar panels reduces the efficiency of the solar modules and hence the amount of produced energy. Monitoring and cleaning solar panels is a crucial task, hence developing an optimal procedure to monitor and clean these panels is very important in order to increase modules efficiency.

classification dirty inceptionv3-model keras numpy pandas plotly python regularizer sequential solar-panels tensorflow visualization

Last synced: 13 Apr 2026

https://github.com/jaypanchal9/spotless-data

Spotless Data: A Python-based workflow using Jupyter Notebooks for efficient data cleaning, preprocessing, handling missing values, correcting outliers, and integrating external datasets ideal for quick, reliable, and clean data preparation.

data-cleaning data-preprocessing data-wrangling matplotlib numpy pandas python3

Last synced: 13 Apr 2026

https://github.com/gregoritsch3/ml_eda_classification_loanapprovalprediction

An EDA and Machine Learning Classification exercise on the Loan Approval dataset demonstrating EDA, feature engineering, StratifiedKFold and the use of Tensorflow NN, SVC, LinearSVC, XGBoost, Naive-Bayes, Bagging, Random Forest and Decision Tree algorithms.etc. The modela are optimized using hyperparameter tuning through GridSearchCV.

eda feature-engineering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/gauranshgoel123/predictive-demand-analysis

Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend

chartjs data-analysis data-science data-visualization dataset deployment full-stack machine-learning numpy pandas predictive-analysis prophet-model python reactjs render

Last synced: 13 Apr 2026

https://github.com/screamman-ssh/facemousecontrol

This project is about using your nose tip for the mouse's cursor and open your mouth for the left click.

autopy computer-vision face-detection mediapipe-facemesh mouse numpy opencv python python-3-7 ui

Last synced: 13 Apr 2026

https://github.com/aahad91/idv

Interactive Data Visualization - Master Course

matplotlib numpy pandas plotly python3

Last synced: 08 May 2026

https://github.com/otuemre/simplenet

A simple neural network framework built from scratch using Python and NumPy. Designed as a learning tool, SimpleNET includes essential layers, activation functions, and loss functions, enabling users to build and train basic neural networks from the ground up.

backpropagation deep-learning from-scratch machine-learning neural-network numpy python

Last synced: 13 Apr 2026

https://github.com/otivedani/hedge_hog

Histogram of Oriented Gradients, full numpy

feature-extraction histogram-of-oriented-gradients hog-features numpy

Last synced: 13 Apr 2026

https://github.com/zion-dev1/e-commerce-analysis

Short machine learning project which analyses customer behaviour 🔎

analysis clustering ecommerce machine-learning numpy pandas sklearn

Last synced: 05 Jul 2025

https://github.com/tasninanika/k-nearest_neighbors

K-Nearest Neighbors (KNN) is a simple and powerful machine learning algorithm used for classification and regression.

knn matplotlib numpy pandas python3 seaborn

Last synced: 13 Apr 2026

https://github.com/pvlbzn/kot-or-not

Logistic regression (shallow neural network) which predicts whether input image is a cat or not.

classification-algorithm image-classification logistic-regression machine-learning neural-network numpy

Last synced: 01 Mar 2025

https://github.com/petitgrizzlies/metaheuristiques

Travaux pratiques de meta heuristique. Unige 2016-2017

cffi cpp golang heuristic-algorithm matplotlib numpy python35

Last synced: 13 Apr 2026

https://github.com/mgobeaalcoba/matplotlib_y_seaborn

Aquí dejaré trabajos de visualización realizados con ambas librerías de Python.

data-analysis data-science data-visualization dataset matplotlib numpy pandas python seaborn

Last synced: 13 Apr 2026

https://github.com/parmeetbhamrah/air-quality-india-analysis

Exploratory data analysis of real-time air quality data from Indian cities using Python, Pandas, Matplotlib, and Seaborn.

air-quality data-analysis eda exploratory-data-analysis government-data india matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/vitroid/tilecycles

Tessellate a graph into cycles.

genice2 graph numpy tiling

Last synced: 27 Feb 2025

https://github.com/leabrodyheine/water-pump-status-prediction

This project implements machine learning models to predict the status of water pumps in Tanzania using data from DrivenData's competition. The project includes preprocessing steps, model evaluation using cross-validation, and hyperparameter optimization with Optuna.

argparse cross-validation gradient-boosting-classifier logistic-regression machine-learning multilayer-perceptron numpy optuna pandas random-forest-classifier scikit-learn

Last synced: 11 Apr 2026

https://github.com/shibam120302/plant_deseases_prediction

Plant disease forecasting is a management system used to predict the occurrence or change in severity of plant diseases. At the field scale, these systems are used by growers to make economic decisions about disease treatments for control.

keras numpy opencv python

Last synced: 13 Apr 2026

https://github.com/anvesham/machinelearning_models_using_matlab

Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers

bagging-ensemble bayesian-optimization decision-trees jupyter-notebook machine-learning matlab multiple-linear-regression-model numpy python random-forest-regression

Last synced: 11 Apr 2026

https://github.com/fearless-spider/stooq-dax-seasonal

Parsing seasonality from time series data can often be useful in data analytics. It helps with analyzing seasonality for decision making as well as for more accurate forecasts. Python can be used to separate out these trend and seasonal components.

numpy pandas python statistics

Last synced: 13 Apr 2026

https://github.com/mahnoorsheikh16/Credit-Card-Default-Prediction

This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.

chi-square-test encoding hiplot imblearn json knn-imputer matplotlib numpy pandas pca-analysis pillow plotly robust-scalar scipy seaborn sklearn smote streamlit ttest visualization

Last synced: 01 Mar 2025

https://github.com/dipeshgoyal013/ipl_win_probability

A project which help you to check win probability of batting team in inning 2nd

machine-learning matplotlib numpy pandas python sklearn

Last synced: 05 Feb 2026

https://github.com/solrikk/optichrom

This repository provides a collection of Python tools and applications for comparing images using various algorithms such as ORB (Oriented FAST and Rotated BRIEF) and SSIM (Structural Similarity Index). The tools include both command-line scripts and graphical user interface (GUI) applications for ease of use

computer-vision cv2 feature-matching image-comparison image-comparison-tool machine-learning numpy object-detection opencv orb python scikit-image ssim tkinter visualization yolo yolov5

Last synced: 18 Jan 2026

https://github.com/hansalemaos/permutation_no_repetition

Permutation without repetition - written in Cython - for Numpy

cython data-science no-repetitions numpy pandas permutations

Last synced: 14 Jan 2026

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

🧠 Deep learning project for brain tumor classification using MRI images. Built with transfer learning (VGG16 + fine-tuning), TensorFlow/Keras, and deployed via Streamlit. Dataset & model loaded dynamically from KaggleHub. Includes training notebook, evaluation, and interactive web app.

kagglehub keras numpy pandas scikit-learn streamlit tensorflow vgg16-model

Last synced: 13 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
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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