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/grandmoff100/pygrids

Dimensional Data Manipulation and Spreadsheet-like pretty grids.

arrays grids hacktoberfest numpy python spreadsheet

Last synced: 18 May 2026

https://github.com/asuquoaa/energy-_gdp-_and_scimago_rankings_analysis-2006-2015

Analysis of top 15 countries in energy, renewables, and GDP using three global datasets.

data-cleaning numpy pandas

Last synced: 01 May 2026

https://github.com/lordy5/ml-algorithms

Implementing ml algorithms from scratch to learn how they work.

from-scratch machine-learning ml numpy

Last synced: 05 Apr 2025

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

A time series forecasting project using the Airline Passenger dataset. This project leverages ARIMA modeling to predict future passenger numbers by analyzing historical trends and seasonality from 1949-1960. The results demonstrate effective forecasting for better business planning.

arima-forecasting arima-model data-science numpy pandas python seaborn

Last synced: 07 Apr 2026

https://github.com/khushi130404/outlier_exterminator

Outlier_Exterminator is a Python tool for detecting and treating outliers using IQR, Z-Score, and Percentile methods. It supports trimming, capping, and Winsorization, demonstrated in a Jupyter Notebook.

capping iqr machine-learning numpy percentile-method trimming winsorization z-score

Last synced: 18 May 2026

https://github.com/lmizner/codecademy_auto_evaluation

Summarized categorical variables in Python using numerical summary statistics.

categorical-data frequency jupyter-notebook median numpy pandas proportion python

Last synced: 07 May 2026

https://github.com/RedInfinityPro/Python-Finance

Rating: (8/10) The code performs a linear regression analysis on stock data using the yfinance library, importing necessary libraries, selecting stock symbols, downloading data, fitting a model, making predictions, and visualizing results.

datetime matplotlib numpy pandas random sklearn yfinance

Last synced: 13 Mar 2025

https://github.com/harishtpj/rawnn

A minimal Neural Network framework written from scratch

framework neural-network numpy python

Last synced: 11 Jun 2026

https://github.com/05afreen/indian-job-market-analysis

This repository focuses on 🔍 scraping, 🧹 cleaning, and 📊 visualizing job market data in India. It automates job listing collection from platforms like 🌐 Naukri, Indeed, and LinkedIn using 🐍 BeautifulSoup/Selenium. The scraped data is then 🛠️ cleaned and standardized, handling ❌ missing values, 🏷️ formatting inconsistencies, and 🔎 extracting

numpy pandas powerbi selenium

Last synced: 11 Apr 2026

https://github.com/alexsolov28/ml_nir

Научно-исследовательская работа на тему «Прогнозирование цен на жилье»

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 20 Jan 2026

https://github.com/filipporanza/rc4

A simple RC4 implementation in Python3. Useful for testing and studing RC4 properties

matplotlib numpy python3 rc4 university-project

Last synced: 15 May 2026

https://github.com/ljadhav25/knn-algorithm-data-science-

This repository contains a project demonstrating the implementation and application of the K-Nearest Neighbors (K-NN) algorithm in Data Science. The objective is to provide a comprehensive understanding of the K-NN algorithm, including data preprocessing, model training, evaluation, and visualization of results. This project is ideal for beginners

data-analysis data-science knn-classification machine-learning matplotlib-pyplot numpy pandas-library seaborn

Last synced: 16 Apr 2026

https://github.com/ghsaboias/glasses-ai

Real-time object detection system using Meta Ray-Ban AI Glasses and YOLOv8 Nano, processing Instagram livestream for visual analysis

ai meta-ai mss numpy object-detection ultralytics

Last synced: 18 May 2026

https://github.com/sk-g/mnist_beginners

Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general

keras machine-learning machine-learning-algorithms mnist mnist-beginners mnist-classification mnist-dataset numpy overfitting python pytorch pytorch-implmention resnet resnet-50 scikit-learn scikitlearn-machine-learning sklearn tensorflow

Last synced: 09 Apr 2026

https://github.com/kisaa-fatima/object-detection-using-yolo-v8

From this project I gained practical experience in AI, computer vision, and GUI development, while also understanding the importance of automation in retail processes.

computer-vision gui numpy opencv-python pil roboflow tkinter yolov8

Last synced: 18 May 2026

https://github.com/chenna7893/enhancing-customer-retention-a-machine-learning-approach-to-churn-prediction

Churn prediction using machine learning models like Random Forest, Decision Tree, and XGBoost involves identifying customers who are likely to stop using a company's services.

decision-tree-classifier matplotlib numpy pandas random-forest-classifier xgboost

Last synced: 02 May 2026

https://github.com/rahulchouhan1/air-quality-data-in-india

India Air Quality Analysis (2015-2024)

matplotlib numpy pandas python

Last synced: 11 Apr 2026

https://github.com/karthik9273/electric-vehicle-market-segmentation

Electric Vehicle market in India using Segmentation analysis and come up with a feasible strategy to enter the market, targeting the segments most likely to use Electric vehicles.

data-science machine-learning-algorithms matplotlib numpy numpy-arrays pandas seaborn statistics

Last synced: 18 Apr 2026

https://github.com/petridhsg/firewall-data-classification

A single implementation of a machine learning algorithm for a firewall data classification task

machine-learning matplotlib numpy python seaborn

Last synced: 01 May 2026

https://github.com/youssefali11997/100-numpy-exercises

100 exercise on NumPy library. NumPy (Numerical Python) is a package used for scientific computing with Python.

data-science numpy python3

Last synced: 18 May 2026

https://github.com/rohansoni45/movie-recommendation-system

This project is a Content-Based Recommender System that suggests movies to users based on their preferences and watched history. The system leverages cosine similarity to find and recommend movies similar to a selected title. It is built using Python and libraries like Pandas, NumPy, and Scikit-learn.

content-based-filtering cosine-similarity data-analysis data-science machine-learning numpy pandas python recommender-system render scikit-learn

Last synced: 17 Apr 2026

https://github.com/ugurcan222/a-different-approach--image-enhancement-with-imputation-and-regression-methods

This experimental work presents a different approach to increase the size and quality of an image by adding a blank pixel around each pixel in an image, enlarging the image, breaking it into parts, and generating these blank pixels by predicting them with models.

ai-image-upscaling computer-vision digital-image-processing gradient-boosting image-analysis image-enhancement image-enlargement image-interpolation image-processing imputation knn machine-learning numpy opencv pixel-prediction python randomforest regression-models super-resolution xgboost

Last synced: 17 Jan 2026

https://github.com/0xkibh/books-recommendation-system

This is the website with collections of top readed books with the functionaliy of recommendation system. It basically recommends the book on the basis of given books. It also shows data of different books available.

bootstrap css flask font-awesome html numpy pandas pickle

Last synced: 07 Apr 2026

https://github.com/harmanveer2546/house-price-prediction-using-machine-learning

We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.

catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn support-vector-machine

Last synced: 07 Apr 2026

https://github.com/dineshdhamodharan24/singapore_flat_resale_

This project focuses on developing a machine learning model to predict the resale values of apartments in Singapore. The goal is to create a user-friendly online application that enables users to obtain accurate predictions for the resale values of specific properties.

data-analysis flat json numpy pandas pickle project python streamlit

Last synced: 07 Apr 2026

https://github.com/bishopce16/world_weather_analysis

The project’s objective is to improve a travel app to give customers a way to decide their travel destination and ideal hotel based on weather preferences.

apis citipy datetime gmaps json-traversal jupyter-notebook matplotlib numpy pandas python requests scipy

Last synced: 13 Apr 2026

https://github.com/vbhvsingh0/cdc_immunization

This project explores the relationships in between different vaccines and the sex, age and other basic features in the data.

data-cleansing data-manipulation-with-pandas data-science numpy pandas-python python3

Last synced: 05 May 2026

https://github.com/brenderb/python-projects

General interest and school python projects I completed. Included are lab analysis files (with uncertainty analysis, fitting, and graphing), simulation files (visualization of electric+magnetic fields, etc), specific research project files (data extraction + processing for a building science lab, graphs for a medical physics paper) and misc files

csv fitting matlab matplotlib numpy os pandas pyplot python scipy uncertainty

Last synced: 05 Apr 2025

https://github.com/vbhvsingh0/deforestation_rainfall_correlation

The aim of this project is to check if there is any correlation of rainfall with deforestation in Pennsylvania state of USA.

correlation-analysis data-science matplotlib-pyplot numpy pandas python3

Last synced: 29 Apr 2026

https://github.com/vbhvsingh0/fraudulent_transactions

A few models were developed based on Decision trees and Logistic Regression to categorize fraudulent transactions

credit-card-fraud data-science logistic-regression machine-learning numpy numpy-python pandas pandas-python python3 random-forest-classifier

Last synced: 09 May 2026

https://github.com/hariprasath-v/advanced_cricket_tournament_simulation

Simulate cricket matches between two teams with this command-line program.

cricket cricketgame cricketsimulation ipython matplotlib numpy pandas python random seaborn

Last synced: 04 Apr 2026

https://github.com/technologicat/orderfix

Reorder solutions of parametric studies to make continuous curves

cython eigenvalues numpy postprocessing python python2 python27 python3 python34

Last synced: 25 Jan 2026

https://github.com/alexsolov28/vkrb

Выпускная квалификационная работа бакалавра «Система анализа алгоритмов машинного обучения для решения задач классификации с использованием Pandas»

jupyter-notebook matplotlib numpy pandas python scikitlearn seaborn streamlit

Last synced: 15 Feb 2026

https://github.com/harmanveer-2546/motor-vehicle-accidents-in-india

As per the report, a total of 4,61,312 road accidents have been reported by States and Union Territories (UTs) during the calendar year 2022, which claimed 1,68,491 lives and caused injuries to 4,43,366 persons.

accidents accidents-analysis darkgrid data-analysis eda exploratory-data-analysis indian-roads inline matplotlib motor-vehicles numpy pandas review seaborn visualization

Last synced: 19 Jan 2026

https://github.com/mituskillologies/aiml-dypiemr-sep24

Programs conducted at DYPIEMR, Pune in training on AIML during September 2024.

artificial-intelligence data-analysis data-science machine-learning matplotlib neural-network numpy pandas python3

Last synced: 05 Apr 2025

https://github.com/harmanveer-2546/guide-to-regularization

Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.

generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn

Last synced: 05 Apr 2025

https://github.com/chandkund/predicting-heart-disease

Welcome to the Heart Disease Prediction project! 🩺 This project focuses on developing a predictive model to assess heart disease risk based on health indicators like age, cholesterol levels, and blood pressure. By analyzing these features, we aim to create an effective tool for early diagnosis and heart disease prevention

machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 18 Jan 2026

https://github.com/Mike014/SoundBot

This Repository will contain the prototype of a ChatBot created for the playback of audio, or everything related to audio in the world of video games and not.

chatbot dsp nlp nlp-library nlp-machine-learning numpy python scipy sound-processing

Last synced: 12 Sep 2025

https://github.com/aapo-kossi/christmas_tree_spectrogram

Colab notebook to generate a spectrogram visualization on a programmable led installation

colab-notebook numpy pandas python

Last synced: 07 Apr 2026

https://github.com/hanzopgp/tensorflowtest

Learning how to use jupyter notebook, tensorflow, numpy and other librairies for machine learning projects. Following Thibaut Neveu's tutorial.

artificial-intelligence convolutional-neural-networks deep-learning lstm-neural-networks machine-learning matplotlib multilayer-neural-networks numpy personal recurrent-neural-networks sklearn tensorflow

Last synced: 07 Apr 2026

https://github.com/hansalemaos/stridesduplicatefinder

Calculate overlapping values between two arrays and return the results as a DataFrame

duplicates fast numexpr numpy strides

Last synced: 07 Mar 2026

https://github.com/nickklos10/Compressive-Strenght-Prediction

This project predicts concrete compressive strength using a neural network regression model built with Keras.

jupyter-notebook keras matplotlib numpy pandas python scikit-learn

Last synced: 12 Mar 2025

https://github.com/orthoin3d/django-ndarrayfield

New Django field to store numpy ndarray.

django django-fields numpy numpy-arrays

Last synced: 07 Mar 2026

https://github.com/danieljvickers/fluid_simulation

An educational example for learning the Navier-Stoke equations. Also included is a C++ and CUDA shared object library, buildable with CMake, for use in your personal projects.

cpp cuda differential-equations navier-stokes numpy physics python simulation

Last synced: 04 May 2026

https://github.com/bbergerud/tenops

Creating a common interface for numpy, pytorch, tensorflow, etc.

numpy pytorch tensorflow

Last synced: 20 Jan 2026

https://github.com/hansalemaos/ffmpeg_stream_to_numpy

ffmpeg stream to numpy arrays

cv2 ffmpeg numpy python stream video

Last synced: 29 Apr 2026

https://github.com/tsungtsetu122/patternanalysis-gnn-node-classification

This project implements a Mixed Graph Neural Network (GNN) for semi-supervised multi-class node classification using the Facebook Large Page-Page Network Dataset. The goal of the project is to predict the class of each node (page) based on 128-dimensional feature vectors and the graph structure connecting the nodes.

evaluation-metrics gnn matplotlib networkx numpy optimization pandas python pytorch-geometric

Last synced: 03 Mar 2025

https://github.com/j-nobull/noble_ana-500

Apply Advbanced Python programming to data science problems

dash machine-learning-algorithms neural-network numpy pandas plotly scikit-learn tensorflow

Last synced: 03 Mar 2025

https://github.com/hamishivi/denserflow

A basic numpy neural net library. This achieved high marks in a uni assignment!

deep-learning neural-network numpy

Last synced: 18 May 2026

https://github.com/johanntf/direccion_maximo_crecimiento

Dirección de máximo crecimiento en una función multivariable dado un punto de partida

customtkinter matplotlib numpy python

Last synced: 18 May 2026

https://github.com/sanjanahombal/study-on-sentiment-analysis

This project explores the optimal combination of Bag-of-Words and TF-IDF vectorization with Naive Bayes and SVM for sentiment analysis. It evaluates performance using accuracy, precision, recall, and F1-score, addressing ethical concerns like data privacy and bias to improve sentiment classification in real-world applications.

bag-of-words confusionmatrix googlecollab gridsearch-crossvalidation matplotlib-pyplot naive-bayes-classifier numpy pandas seaborn sklearn svm-classifier tfidf-vectorizer

Last synced: 07 Jan 2026

https://github.com/sultanazhari/customer-habit-analysis-model

Megaline company wants to develop a model that can analyze consumer behavior and recommend one of Megaline's two new plans: Smart or Ultra. In this classification task, we need to develop a model that is able to choose the right package

accuracy-score decision-tree-classifier logistic-regression matplotlib-pyplot numpy pandas python3 random-forest-classifier seaborn train-test-using-sklearn

Last synced: 11 Apr 2026

https://github.com/dilipgjadhav/cs_encryption_decryption_project

🔐 Secure Data Hiding in Images using Steganography | AICTE & IBM SkillsBuild Internship Project. This Python-based tool hides secret messages in images using OpenCV & PyQt6, with password-protected decryption. Secure, user-friendly & efficient for cybersecurity. Future scope: multi-format support, AES encryption & web/mobile integration.

cyrptography data-hiding image-encryption image-processing numpy opencv pyqt5-gui python-project python-security secure-communication steganography

Last synced: 06 May 2026

https://github.com/satyacoder29/crm-analytics

CRM Analytics Dashboard – An interactive dashboard using Tableau, SQL, and Salesforce CRM Analytics (CRMA) to analyze sales performance, customer segmentation, and churn prediction. Features automated ETL pipelines, predictive analytics, and real-time insights for data-driven decision-making. 🚀📊

advanced-excel data-analysis data-cleaning data-collection data-transformation data-visualization matplotlib numpy pandas powerbi python seaborn sql tableau

Last synced: 03 Mar 2025

https://github.com/santiagoenriquega/custom_neural_net

This repository focuses on building a neural network from scratch using only base python and Numpy.

gradient-descent neural-network numpy optimization python

Last synced: 18 May 2026

https://github.com/nour-zayed/face-recogntion

This project implements a real-time face recognition system using Computer Vision and Deep Learning. The system is capable of detecting and recognizing faces in real-time using a webcam, as well as from images and video files. The project leverages OpenCV, dlib, and the face_recognition library to accurately detect, encode, and identify faces.

database dlib face-recognition numpy opencv python

Last synced: 05 May 2026

https://github.com/matheusotenio/catdog_imageclassifier

Classificar imagens de gatos e cães, utilizando um conjunto de dados misto.

deep-learning freecodecamp-project ipynb machine-learning matplotlib numpy tensorflow

Last synced: 29 Nov 2025

https://github.com/dor-sketch/audio-visual-synth

Combining real-time graphics, audio synthesis, and interactive elements to create an engaging, cross-platform music visualizer.

image-processing midi-player music-composition musicsheet notes-tool numpy pygame pygbag pyopengl

Last synced: 18 May 2026

https://github.com/yash22222/analysis-of-amcat-aspiring-minds

Analyzing employment outcomes for engineering graduates based on a provided dataset. Specifically, it aims to verify a claim regarding the salary range for fresh graduates in certain engineering roles and investigate potential relationships between gender and specialization preferences.

amcat aspiring-minds charts computer-engineering data-analytics data-vizualisation dataset graph machine-learning matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/yesenvidnath/facerecognito-pythonfacialrecognitionapplication

this is a web application created to detect faces using a pre-given image links through Excel format, this project uses Pytorch & Flask

facent flask numpy python

Last synced: 10 Apr 2026

https://github.com/dvamishkilapa/xolm2_py

Ported Xolm2 VSU

mathplotlib numpy pyqt5

Last synced: 23 Oct 2025

https://github.com/biocpy/mopsy

Matrix operations

matrix numpy scipy

Last synced: 07 Mar 2026

https://github.com/paulomppatricio/projeto_challenge_telecomx-br_parte-2

Projeto Challenge TelecomX-BR_Parte-2 - Formação Data Science do programa ONE - Oracle Next Education em parceria com a Alura.

data-science imblearn joblib machine-learning matplotlib modelos-preditivos numpy pandas python scipy seaborn sklearn statsmodels xgboost

Last synced: 12 Apr 2026

https://github.com/kr1shnasomani/facetronix

A toolkit for face detection, annotation, and mask recognition.

computer-vision deep-learning keras neural-network numpy opencv tensorflow

Last synced: 05 Apr 2026

https://github.com/yalai92/master_academic_projects

This repository is dedicated to showcasing the academic projects completed during my Master in Data Science & AI. The main objective is to show a collection of projects in various data science fields, including: data cleaning & preprocessing, data analysis, data visualization, machine learning, clustering, among others.

automation clustering data-merging google-colab jupyter-notebook machine-learning matplotlib numpy pandas powerbi python sklearn xgboost

Last synced: 13 Jun 2025

https://github.com/muhkartal/fr-framework

A modular and extensible face recognition framework featuring real-time detection, facial landmark analysis, and recognition with API support.

dlib face-recognition fastapi numpy opencv pillow pydantic python-multipart requests scipy uvicorn

Last synced: 13 Apr 2026

https://github.com/itskoushik/eyecue-intellisense

A project related to Smart Intellisense mouse controller which can be controlled by Eye tracking and hand gestures

cv2 machine-learning mediapipe numpy pynput

Last synced: 15 Apr 2026

https://github.com/guifernandess7/ciencia-de-dados-e-ml-notebooks

Notebooks com uso dos módulos Pandas, Numpy e Matplotlib para análise de dados e criação de gráficos e tensorFlow e seaborn para machine learning e visualização

machine-learning matplotlib numpy pandas python tensorflow

Last synced: 04 Apr 2026

https://github.com/lgope/book-recommender-system

Book recommender system a Collaborative Filtering Based Recommender System using Machine Learning, Numpy, Pandas Python, Flask, Kaggle Dataset

collaborative-filtering flask html-css jupyter-notebook kaggle-dataset machine-learning numpy pandas python

Last synced: 13 Apr 2026

https://github.com/sudarshanc00/brain-tumor-classification

This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.

matplotlib numpy pytorch resnet scikit-learn streamlit

Last synced: 10 Apr 2026

https://github.com/mathensley/asimpleneuralnetworklib

A simple library in Python for training datasets using neural network models

deep-learning neural-networks numpy python

Last synced: 19 Apr 2026

https://github.com/firewind25/gdp-data-extraction-and-processing

Data Extraction from a web resource using Web-Scraping and request APIs. Processed it using Pandas and NumPy libraries. Finally exporting it to csv file for further analysis

numpy pandas python webscraping

Last synced: 12 Jul 2025

https://github.com/blinksta1ker/spam-mail-classification

Supervised ML model using Logistic Regression model to classify an email as Ham or Spam

jupyter-notebook logistic-regression machine-learning numpy pandas python sklearn supervised-machine-learning

Last synced: 09 Apr 2026

https://github.com/mnitin-reddy/image-compression-using-k-means-clustering

This project implements the K-means algorithm for clustering and image compression. It reduces the number of colors in an image using K-means, achieving compression while maintaining key visual features. The project demonstrates the process on a sample dataset and a real image.

image-processing imagecompression kmeans-clustering machine-learning matplotlib numpy

Last synced: 19 May 2026

https://github.com/adamouization/superconductors-critical-temperature-predictions-regression

:chart_with_upwards_trend: Machine Learning & Data Visualisation/Processing techniques for predicting the critical temperatures required for different superconductors to conduct electrical current with no resistance.

jupyter jupyter-lab jupyter-notebook machine-learning matplotlib matplotlib-pyplot numpy pandas prediction python python-3 regression regression-algorithms scikit-learn scikitlearn-machine-learning scipy

Last synced: 12 Apr 2026

https://github.com/Madhuresh2011/Leetcode-Questions-Analysis-Using-Python

The LeetCode Question Analysis is a Python-based project designed to help users analyze and gain insights into LeetCode problems. It allows users to track, categorize, and evaluate their progress, identify patterns in problem-solving, and optimize the preparation.

analysis csv-files matplotlib-pyplot numpy pandas python python-project seaborn

Last synced: 13 Sep 2025

https://github.com/laurobmb/data_analise

Analise quantitativo de números de processos judiciais existentes no Nordeste brasileiro

data-science matplot numpy python python3

Last synced: 15 May 2026

https://github.com/memgonzales/order-brushing-shopee2020

Solution to the Week 1 Contest (Student Category) of the 2020 Shopee Code League on order brushing detection

data-analytics e-commerce fraud-detection jupyter-notebook numpy order-brushing pandas python rule-based

Last synced: 11 Apr 2026

https://github.com/omarnahhass/crypto-cast

CryptoCast is a machine learning-powered tool that showcases three fundamental prediction models for forecasting cryptocurrency prices

cryptocurrency machine-learning numpy pandas python

Last synced: 05 May 2026

https://github.com/pramodyasahan/custom-image-classification-model

This repository hosts a TensorFlow-based custom image classification model. The model is designed to classify images into binary classes, labeled as 'Happy' and 'Sad'.

computer-vision convolutional-neural-networks cv2 keras matplotlib numpy tensorflow

Last synced: 11 Apr 2026