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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/albert-2002/robust-penalized-empirical-likelihood-estimation-method-for-linear-regression

Implementation for the paper titled: Robust Penalized Empirical Likelihood Estimation Method for Linear Regression

linear-regression machine-learning numpy pandas python regression regression-analysis statistics

Last synced: 06 May 2026

https://github.com/hansalemaos/a_pandas_ex_image_tools

Uses pandas/numpy/numexpr for operations on pictures - very fast

colors image locate numexpr numpy opencv pictures python

Last synced: 01 May 2026

https://github.com/sducournau/ign_lidar_hd_dataset

🏗️ Comprehensive Python library for processing IGN LiDAR HD data into machine learning-ready datasets for Building Level of Detail (LOD) classification. Features GPU/CPU processing, smart data management, and complete ML pipeline integration.

building-classification data-processing dataset france geospatial gis ign lidar lidar-hd numpy point-cloud scikit-learn

Last synced: 20 Jan 2026

https://github.com/christiansassi/signal-image-and-video-project

Project developed by Pietro Bologna (@bolognapietro) and Christian Sassi for the Signal, Image and Video course.

image-processing mri-segmentation numpy opencv python

Last synced: 06 May 2026

https://github.com/deusares/funpil

A collection of PIL, Numpy and OpenCV functions to manipulate images

batch image-processing lazy media numpy opencv pil pillow python script

Last synced: 01 May 2026

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

Dashboard para compreender as preferências musicais dos ouvintes, tendências regionais e o impacto de artistas específicos.

numpy pandas powerbi python

Last synced: 01 May 2026

https://github.com/satyamtripathi8/tools_for_data_science

Introduction to Data Science Tools(Python)

data-analysis-python matplotlib-pyplot numpy pandas

Last synced: 01 May 2026

https://github.com/williyam-m/company-registration-trends

Utilized Linear Regression from scikit-learn to predict future company registration trends.

flask matplotlib numpy pandas-python scikit-learn

Last synced: 06 May 2026

https://github.com/offthetab/nn_homework

Практические работы по нейронным сетям МИРЭА 3 курс.

gensim ignite matplotlib neural-network nltk numpy pandas scipy-stats seaborn torch torchvision

Last synced: 01 May 2026

https://github.com/dostuffthatmatters/jax-capability-analysis

demo repository containing the experiments for my master's seminar @ TUM

autograd click deep-learning huggingface jax jit-compilation mnist numpy python pytorch

Last synced: 01 May 2026

https://github.com/mayankanand007/betago

Platform for tracking Go moves using Computer Vision. (StarterHacks 2018 submission)

java matlab matplotlib numpy opencv-python python3

Last synced: 01 May 2026

https://github.com/aniketwithpython/fundamentals-of-scientific-computing

Fundamentals of Scientific Computing (MS1980) Notebook

jupyter matplotlib numpy pandas python

Last synced: 01 May 2026

https://github.com/dhruvv1402/spam-detection-python-

This project is a Spam Detection System built using Python. It classifies SMS messages as spam or ham (not spam) using machine learning techniques.

countvectorizer kaggle-dataset nlp-machine-learning nltk numpy pandas python scikit-learn supervised-machine-learning tf-idf

Last synced: 01 May 2026

https://github.com/shivangmathur1/simple-qlearning

Solving gym environments using Numpy Qtables and Q-learning

gym numpy qlearning

Last synced: 07 May 2026

https://github.com/swapnilvishwakarma/twitter_sentiment_dashboard

Using Streamlit and Python, I created interactive data dashboards and used Pandas to manipulate data in data science workflows. I also used Plotly to create interactive graphs.

dashboard machine-learning matplotlib numpy pandas plotly sentiment-analysis streamlit-webapp webapp wordcloud

Last synced: 06 May 2026

https://github.com/muhammadadilnaeem/bcg-data-science-job-simulation-on-forage-august-2024

This repository contains all the tasks, code, and documentation completed during the BCG Data Science job simulation on The Forage platform. The simulation focused on analyzing customer churn, building predictive models, and presenting insights for a major utility company.

bcg customer-churn-prediction-with-machine-learning data data-science forage numpy pandas

Last synced: 01 May 2026

https://github.com/yeisson8a/tallerdataanalysis

Taller de Data Analysis utilizando Python y las librerías Pandas, NumPy, Seaborn, Matplotlib para manipulación de datos de un archivo, así como la librería Statsmodels para regresiones lineales.

analisis-de-datos linear-regression matplotlib numpy pandas python3 seaborn statsmodels

Last synced: 14 Apr 2026

https://github.com/rgandhi8/inventory-management-system

This project is an AI-driven Inventory Management System designed to optimize supply chain efficiency by leveraging machine learning techniques for demand forecasting. The system integrates ARIMA and ANNs to predict inventory needs, minimize shortages, and reduce holding costs also enhances decision-making by automating inventory planning.

dashboard inventory-management-system machine-learning numpy pandas python seaborn

Last synced: 08 Jun 2026

https://github.com/laszlokorte/canny-notebook

Numpy Canny Edge detector implementation to visualize each step

canny-edge-detection image-processing jupyter-notebook numpy

Last synced: 02 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/dpb44/exploring-the-intuition-of-neural-networks-on-a-classification-problem-using-only-numpy

Implementing a softmax-based neural network from scratch using NumPy to classify the Iris dataset, leveraging vectorization, gradient descent, and decision boundary visualization.

deep-learning neural-network numpy softmax-classifier

Last synced: 02 May 2026

https://github.com/kavayk29/text-summarization-fine-tuning-pegasus-model

This project uses the Pegasus model to generate concise, coherent text summaries. Fine-tuned on large datasets, it excels in abstractive summarization, ideal for automating tasks like summarizing articles and research papers.

datasets huggingface-transformers matplotlib nltk numpy pandas teansform tqdm

Last synced: 06 May 2026

https://github.com/ducha-aiki/laf2ell

Utils for LAF to ellipse and back conversion. Also function for drawing LAFs.

ellipse laf local-features numpy visualization

Last synced: 02 May 2026

https://github.com/xanonymous-github/multimediax

The collections of class projects in Multimedia Technologies and Applications class, NTUT.

deep-learning machine-learning numpy opencv-python

Last synced: 06 May 2026

https://github.com/v-goncharenko/freespace

Implementation of signal propagation in free space

numpy python signal-processing

Last synced: 02 May 2026

https://github.com/mgitrov/ann-from-scratch

An artificial neural network implemented from scratch using numpy only.

artificial-neural-networks deep-learning guide numpy

Last synced: 02 May 2026

https://github.com/voidkeishi/computational-science

This repository contains implementations of algorithms from the course "Computational Science" at HUST

computational-science numpy python

Last synced: 02 May 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/lipskiyp/trading_dashboard

Pandas framework to analyze financial time-series and calculate various performance metrics (e.g. Sharpe Ratio and Max Drawdown Duration).

financial-analysis numpy pandas

Last synced: 02 May 2026

https://github.com/shreeparab1890/unicorns-of-india-till-sep-2022-analysis-eda

This ipython notebook is the Exploratory data analysis (EDA) of the Unicorns of India till Sep 2022.

analysis data-analysis eda exploratory-data-analysis matplotlib-pyplot numpy pandas plotly

Last synced: 02 May 2026

https://github.com/swatisinghit/treadmill-customer-profiling-for-aerofit

Create comprehensive customer profiles for each AeroFit treadmill product through descriptive analytics. Develop two-way contingency tables and analyze conditional and marginal probabilities to discern customer characteristics, facilitating improved product recommendations and informed business decisions.

analytics conditional-probability data-analysis data-science data-visualization eda numpy pandas probability statistics

Last synced: 08 May 2026

https://github.com/timeless-residents/handson-tensorflow-numpy

A practical guide to learning and using TensorFlow and NumPy for data manipulation and machine learning

data-science machine-learning numpy tensorflow tutorial

Last synced: 06 May 2026

https://github.com/parham1998/linear_regression_pytorch

Implementation of a simple Linear Regression model with Numpy & PyTorch library

backpropagation gradient-descent linear-regression loss-functions numpy python pytorch

Last synced: 02 May 2026

https://github.com/yappy2000d/pps-ndarray

Multi-dimensional array implementation

cpp numpy

Last synced: 18 Jan 2026

https://github.com/amishidesai04/emergency-calls-data-analysis-project

Welcome to the Emergency Calls Data Analysis project repository. This project is dedicated to extracting, processing, and visualizing data from the "Emergency – 911 Calls, Montgomery County" dataset, sourced from Kaggle. The main objective is to analyze trends in emergency calls in Montgomery County, Pennsylvania, spanning multiple years.

analysis data-analysis data-extraction data-processing data-science data-visualization numpy pandas python seaborn

Last synced: 02 May 2026

https://github.com/gherrada22/spanish-sign-translator

This project uses Python and the OpenCV and MediaPipe libraries to detect and translate signs in real time.

language matplotlib mediapipe numpy opencv pycharm-ide python python3 spanish-language toml

Last synced: 18 Jan 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/ellennewerkla/eda_students_performance

EDA em Python com Pandas, Matplotlib e Seaborn para identificar padrões de desempenho em estudantes.

matplotlib numpy pandas python3 seaborn

Last synced: 08 May 2026

https://github.com/fabriciocovalesci/sistema-vendas-graficos

Sistema simples de vendas e estoque, com gráficos usando Matplotlib

matplotlib matplotlib-pyplot numpy python-script python3 venv virtualenv

Last synced: 02 May 2026

https://github.com/krook1024-uni-archive/kmeans

kmeans implementation for a university course

kmeans kmeans-clustering machine-learning numpy python

Last synced: 02 May 2026

https://github.com/bharath-tars/streamlit_diabsynth

Predictive Health Analytics for Diabetic Risk Assessment and Personalized Reporting WebApp using Streamlit

deeplearning mahine-learning numpy onrender-deploy pandas seaborn streamlit

Last synced: 02 May 2026

https://github.com/camsai/jupyterlite

CAMSAI JupyterLite is a lightweight, browser-based environment tailored for AI-driven materials science research. It integrates CAMSAI tools, schemas, and workflows, enabling users to validate data, run simulations, and explore materials science applications without requiring local installation or setup.

chemistry jupyterlite materials materials-design materials-informatics materials-science matplotlib numpy pyodide python scipy

Last synced: 02 May 2026

https://github.com/hansalemaos/cv2_collage

Create a collage from images with OpenCV

collage numpy opencv python

Last synced: 06 May 2026

https://github.com/m0saan/python-for-data-analysis

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney,

data-analysis data-science ipython-notebook machine-learning matplotlib numpy pandas python

Last synced: 02 May 2026

https://github.com/andremenezesds/machine_learning_test

Testing among various Machine Learning models and parameters, in order to further study their behaviour for Classification, Regression and Clustering analysis.

classification-models clustering-models machine-learning numpy pandas regression-models sklearn

Last synced: 02 May 2026

https://github.com/hackintoshrao/first-neural-network

Simple Neural Network with a hidden layer written from scratch using Numpy for prediction the bike sharing sales

deep-learning neural-networks numpy python

Last synced: 07 May 2026

https://github.com/ifimust/room_generator

Room generator service for 2D game levels

flask google-app-engine microservice numpy procedural-generation python

Last synced: 07 May 2026

https://github.com/ksharma67/intel-stock-predication-wiith-eda

We are trying to design a model that can predict the price of stock using different methods and algorithms.

eda linear-regression machine-learning-algorithms matplotlib numpy pandas prediction python scaler seaborn skit-learn

Last synced: 02 May 2026

https://github.com/minhtungonep/android-traffic-analysis

Android malware detection project analyzing network traffic patterns in a telecommunications context. Uses statistical hypothesis testing and data visualization to evaluate traffic features like DNS query times, TCP packets, and volume bytes for distinguishing between benign and malicious Android applications.

android-library bachelor-project bachelor-thesis cybersecurity cyface data-visualization hypothesis-testing malware-detection matplotlib network-traffic numpy pandas python scipy sdk statistical-analysis telecommunications voip-security

Last synced: 09 May 2026

https://github.com/prab9166/-web-content-extraction-and-sentiment-analysis-

web content extraction and sentiment analysis on URLs provided in an Excel file. Its divided into classes to manage different stages such as data loading, web scraping, text processing, sentiment scoring, and output generation

beautifulsoup lxml nltk-python numpy pandas python re requests xlsxwriter

Last synced: 06 May 2026

https://github.com/baranovserv/h-s-diagram

Парсер данных построения H-S диаграммы для веществ

diagrams json matplotlib numpy parser requests

Last synced: 02 May 2026

https://github.com/samuelpuerta/modelosiasaberprocolombia

PROYECTO KAGGLE - Crear un modelo para predecir el redimiento de los estudiantes en las pruebas Saber Pro

ai ia jupyter-notebook machine-learning numpy pandas prediction-model predictive-modeling python

Last synced: 06 May 2026

https://github.com/vermenea/masters---ad-signaling-pathway-using-hsp90-inhibitor

Influence of 17-AAG a Hsp90 inhibitor on signaling pathway in Atopic Dermatitis

matplotlib numpy pandas python seaborn statmodels

Last synced: 02 May 2026

https://github.com/lunanvarg/bid-data-cac22039

En este repositorio se vé mi TP Integrador del programa Codo a Codo: Big Data

colab data-studio-google deepnote excel matplotlib mysql numpy pandas-library python seaborn

Last synced: 06 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/ahmedabdalkreem/lung-cancer

It help to know the patient have lung cancer or not and show what depenent in this disease that lead to this disease.

matplotlib numpy pandas python sklearn-library

Last synced: 14 Apr 2026

https://github.com/ifte-13/digit-classification-with-mnist

MNIST Digit Classification: Comparative Analysis of Optimization Algorithms

matplotlib mnist-dataset numpy tensorflow

Last synced: 02 May 2026

https://github.com/hmotez/medclaimml

An AI-powered machine learning application designed to process healthcare reimbursement claims. It analyzes medical documents, client information, insurance policies, and legal regulations to predict accurate reimbursement amounts, ensuring efficiency, compliance, and fraud detection.

healthcare jest-tests mern-stack mongodb nodejs nosql numpy pytorch react scikit-learn tailwindcss

Last synced: 12 Apr 2026

https://github.com/farhad-here/height-distribution-analysis

Statistical comparison of height distributions in two groups using mean, standard deviation, and boxplots.

coefficient-of-variation data-analysis interquartile-ranges matplotlib mean numpy python scipy standard-deviation variance

Last synced: 13 Apr 2026

https://github.com/sahilmate/gesturepainter

Virtual Painting Application

gesturepainter mediapi numpy opencv virtualpaint

Last synced: 06 May 2026

https://github.com/hadjuse/spotify-recommendation-knn

Here is a personal project where i use KNN project to classify songs

data-science graphics interpretation knn-classification machine-learning matplotlib music numpy plotly spotify

Last synced: 03 May 2026

https://github.com/badranalyst/movie-correlation-analysis-in-python

This project analyzes movie data correlations using Python libraries like Pandas, NumPy, Seaborn, and Matplotlib. It examines relationships between attributes such as ratings, genres, and box office performance to uncover trends that inform recommendations and enhance understanding of movie success factors.

data data-analysis dataset jupyter jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python seaborn

Last synced: 03 May 2026

https://github.com/lewis-morris/image_augment

Image augmentation for CNN's. Aiming to increase generalization.

augmentation image numpy python

Last synced: 18 Feb 2026

https://github.com/helenaden/data-science-fundamentals

This project delves into fundamental data science concepts using Python libraries like NumPy and Pandas

data-analysis datascience datasets datavisualization datawrangling heatmap numpy pandas patterns python

Last synced: 03 May 2026

https://github.com/bhavna-kale/cars-eda-project

Project analyzing used car market data to identify high-impact price drivers and depreciation curves, presented through an interactive web application.

data-analysis excel matplotlib numpy pandas python3 searborn streamlit

Last synced: 03 May 2026

https://github.com/krumyakimov/house-price-developments-in-bulgaria

I developed this project for my final exam in the Data Science course at SoftUni.

data-science jupyter-notebook matplotlib numpy pandas scipy seaborn

Last synced: 03 May 2026

https://github.com/isinghabhishek/data_analysis_with_python

Introduction to Data Analysis covering the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis.

data-visualization exploratory-data-analysis numpy pandas python

Last synced: 03 May 2026

https://github.com/raduldev/biopython

Biopython Record Work and few extra coding excercise

bioinformatics biopython gromacs jupyter-notebook matplotlib numpy pandas python3

Last synced: 03 May 2026

https://github.com/piero24/lossfuncition-4sn

This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the hybrid semantic network (HSNet) architecture model with the Reagion-wise(RW) as a loss function for the backpropagation process.

dataset deep-learning deep-neural-networks loss loss-functions matplotlib neural-network numpy opencv polyp-detection polyp-segmentation python python3 pytorch segmentation segmentation-models torchvision transformers unipd unipd-dei

Last synced: 06 May 2026

https://github.com/kisaa-fatima/foreground-segmentation-using-kmeans-face-recognization-using-knn

Implement a basic version of the interactive image cut-out/segmentation approach called Lazy Snapping. The program uses K-Means Clustering to segment images into foreground and background based on user-provided seed pixels.

face-recognition foreground-segmentation kmeans-clustering knn-classification matplotlib numpy opencv2 pil

Last synced: 03 May 2026

https://github.com/alexbie98/bietorch

neural nets with numpy

autograd neural-nets numpy torch

Last synced: 03 May 2026

https://github.com/chethannazre/railway-track-obstacle-detection-system

RAILWAY TRACK OBSTACLE DETECTION AND AUTOMATION (RAILTECH AUTOMATION)

automation cv2-library internship numpy ppt project python report

Last synced: 03 May 2026

https://github.com/fatihilhan42/lane-line-detection-with-python

In this project you will detect lane lines in images using Python and OpenCV. OpenCV means "Open-Source Computer Vision", which is a package that has many useful tools for analyzing images.

image-processing line-detection numpy opencv python

Last synced: 06 May 2026

https://github.com/vandanac20/advanced-real-estate-valuation-with-ensemble-regression-models

Advanced Real Estate Valuation with Ensemble Regression Models

machine-learning numpy pandas python sklearn

Last synced: 06 May 2026

https://github.com/fandredev/ml-my-guide

my own annotations about ML/DS using pandas, matplotlib, numpy, scikit learn

anaconda matplotlib numpy pandas plotly scikit-learn seaborn

Last synced: 03 May 2026

https://github.com/layonj3000/libras-recognition

This project is a Brazilian Sign Language (LIBRAS) recognition system that utilizes computer vision and machine learning techniques.

computer-vision libras mediapipe numpy opencv python random-forest-classifier

Last synced: 03 May 2026

https://github.com/bartosz-ziolkowski/social_data

Data analysis of San Francisco's crime data set from 2003 to 2018

data-science data-visualization jupyter-notebook numpy pandas python

Last synced: 06 May 2026

https://github.com/k-ilyas/ai-projects-handwritten-digit-recognition-titanic-survivor-analysis

AI Projects: Handwritten Digit Recognition & Titanic Survivor Analysis using scikit-learn

machine-learning numpy pandas sickit-learn

Last synced: 03 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: 06 May 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/jayanthpotluri5513/heart-disease-prediction-using-ml

This project aims to develop a machine learning model for heart disease prediction, leveraging the potential of advanced algorithms and a comprehensive dataset.

machine-learning matplotlib numpy pandas python

Last synced: 06 May 2026

https://github.com/zotho/grav_euler

Euler gravity compute

gravity numpy python

Last synced: 06 May 2026

https://github.com/isk-daniar/signal-filter-plt

Signal filter PLT

numpy pillow python

Last synced: 18 Apr 2026

https://github.com/mkdirer/disaster-tweet-nlp-adaboost-transformers

A machine learning project that classifies tweets as disaster-related or non-disaster-related using transformers and the AdaBoost technique. Achieved an accuracy of approximately 80% on the validation set

geopy keras matplotlib numpy pandas python sklearn tensorflow

Last synced: 12 Apr 2026

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