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/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/subhamsarangi/visualize

Data Visualizations using Python

bokeh matplotlib numpy pandas pyplot python3 seaborn

Last synced: 07 Apr 2026

https://github.com/hbmartin/mathjs-to-func

Compile serialized math.js expression trees into fast, reusable Python callables. Optional parse extra.

ast compiler expression-evaluator expression-parser expressions formula formula-parser formulae mathjs numpy

Last synced: 17 May 2026

https://github.com/zohaib-cheema/defacto

DeFacto is a machine learning-based tool that classifies fake news articles using a hybrid model built with Scikit-learn, TensorFlow, and Keras. The system analyzes social and political content to detect deception in news stories and social media posts, providing a reliable solution to address the growing issue of misinformation.

flask git keras numpy pandas r scikit-learn tensorflow

Last synced: 07 Apr 2026

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/ediloaz/machine-learning-study-and-tests

Some codes for testing new features in Machine Learning while I'm studying and understand how to works it.

cv2 jupyter-notebook machine-learning numpy python pytorch tensorflow

Last synced: 08 Apr 2026

https://github.com/redreaper420/secret-qr-code-injector

Script for secret QR code injection into PNG images.

image-manipulation numpy pillow png python qrcode steganography

Last synced: 14 May 2026

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

Count Vectorizer Naive Bayes Email Classifier: This Python project utilizes a simple Naive Bayes approach with Count Vectorizer to classify emails as spam or ham. The implementation focuses on word frequency for classification.

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

Last synced: 07 Apr 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/debjyotisaha/data-analytics-projects-phase-2

Developed and showcased various data analytics projects, including data preprocessing, exploratory data analysis, and visualization. Utilized tools such as Python, Pandas, NumPy, and Matplotlib to derive actionable insights and demonstrate problem-solving capabilities.

data-analysis data-preprocessing eda matplotlib numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/andrewsy1004/logistic-regression-spam-classifier

This project implements a spam email classifier using Logistic Regression.

numpy pandas scikit-learn

Last synced: 06 May 2026

https://github.com/grand-27-master/fingers-tap

A real-time multi-finger tap detection system

mediapipe numpy opencv python3

Last synced: 14 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/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/gregoritsch3/ml_eda_classification_diabetes

An EDA and Machine Learning Classification exercise on the Diabetes dataset demonstrating the use of SQLAlchemy data import from an SQL database (PostgreSQL), Pre-processing Pipelines, ANOVA, 9 ScikitLearn ML models, Hyperparamter Tuning for the best performing one, and feature importance.

anova machine-learning matplotlib numpy pandas pipelines scikit-learn seaborn sql sqlalchemy statistics

Last synced: 14 Apr 2026

https://github.com/abhinav330/customer-behavior-analysis-linear-regression

This repository explores customer behavior data for an NYC clothing company with both a mobile app and website. They want to understand which platform drives higher sales.

data-analysis data-science data-visualization eda exploratory-data-analysis jupyter jupyter-notebook linear-regression machine-learning machine-learning-algorithms machinelearning-python numpy pandas python regression-analysis

Last synced: 06 May 2026

https://github.com/imdeepmind/knn_from_scratch

KNN classifier in pure Numpy and Python

knn knn-classification machine-learning numpy python

Last synced: 11 Apr 2026

https://github.com/hossein-cod/parking-space-detection

Identifying empty spaces in the parking lot with openCV

cv2 jupyter-notebook numpy opencv pickle python

Last synced: 14 Apr 2026

https://github.com/5hraddha/optimize-oil-well-locations

In the quest for harnessing valuable energy resources, the OilyGiant mining company wants to expand its operations by discovering new oil well locations. To achieve this, a data-driven approach is adopted, leveraging geological exploration data from three distinct regions and employing techniques in data analysis and modeling.

linear-regression numpy pandas scikit-learn supervised-learning

Last synced: 06 May 2026

https://github.com/konynour/facedectection

This project demonstrates real-time face detection using OpenCV and a pre-trained SSD (Single Shot MultiBox Detector) model. The system captures video from a camera, processes the frames, detects faces, and displays the results with bounding boxes and confidence scores. This application showcases the use of deep learning models for object detection

cv2 jupyter-notebook lambda-functions matplotlib numpy opencv python3

Last synced: 12 Apr 2026

https://github.com/mizcausevic-dev/embedding-drift-graph

Track how entity embeddings drift across encoder model versions. SQLite store + Strawberry GraphQL API. Cosine drift events computed automatically on every record. Reference impl for RAG/eval pipelines re-encoding their corpus.

ai-governance drift-detection embeddings graphql llm numpy python rag sqlite strawberry-graphql vector-search

Last synced: 01 Jun 2026

https://github.com/raghavendra317/brain-tumor-detection

A deep learning-based project for classifying brain MRI images into Glioma, Meningioma, No Tumor, and Pituitary Tumor using Convolutional Neural Networks (CNNs). This project aims to assist in early tumor detection, improving diagnostic accuracy and healthcare outcomes.

cnn-classification keras numpy opencv scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/anish37860/python_party

Python summer party by Interview Master & in partnership with DataCamp

jupyter numpy pandas python

Last synced: 06 May 2026

https://github.com/kunalpisolkar24/gradientdescent

A Python implementation of gradient descent for linear regression, visualized with cost function history, parameter trajectory, and a 3D cost surface.

cost-function gradient-descent numpy visualization

Last synced: 06 May 2026

https://github.com/chopikus/raytracing-bench

Benchmarking ray tracers in Python, Java, Numpy, Cupy, Pypy

cupy java numpy pypy python raytracing

Last synced: 06 May 2026

https://github.com/ieCecchetti/Python_ML_DL_examples

A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme

bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi

Last synced: 10 Mar 2025

https://github.com/hariprasath-v/av_job-a-thon-august-2022

Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.

exploratory-data-analysis klib machine-learning matplotlib numpy pandas pycaret-library regression seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/mjul/scipy-lab

Scientific computation with Python

matplotlib numpy python scipy

Last synced: 04 May 2026

https://github.com/nakshjainsonigara/football-eda

This EDA offers a comprehensive exploration of football analytics, leveraging Python libraries to analyze players, club games, and various other aspects of the sport. Through statistical analysis and visualization, we uncover insights into player performance, club strategies, and league dynamics providing valuable insights for football enthusiasts.

dash exploratory-data-analysis matplotlib numpy pandas plotly python scipy seaborn statistics

Last synced: 07 Jan 2026

https://github.com/alansteinbarth/irysy

๐Ÿชป Irysy ๐ŸŒผ eksploracyjna analiza danych โ€“ wizualizacje, ML, transparentny kod i autorskie grafiki. Projekt ล‚ฤ…czฤ…cy AI, estetykฤ™ i praktyczne umiejฤ™tnoล›ci!

ai classification clean-code data-science exploratory-data-analysis feature-engineering github-pages iris-dataset jupyter-notebook machine-learning matplotlib modern-ui numpy open-source pandas portfolio-project python reproducible-research seaborn visualization

Last synced: 17 Oct 2025

https://github.com/cosmoquester/numpy-neural-net

This is neural network samples implemented with numpy without machine learning libraries.

implementation neural-network numpy

Last synced: 22 Jan 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/deepcloudlabs/dcl702-2021-jul-12

DCL-702: Data Analytics using Python

data-analytics numpy pandas python3

Last synced: 05 May 2026

https://github.com/muhammadshavaiz/hand-sketch-recognition--inceptionv3

The Hand Drawn Sketch Classification project uses PyTorch to classify hand-drawn sketches. It evaluates model Inception_v3, with Inception_v3 achieving the highest accuracy of 57%. The repository features scripts for dataset management, model training, and evaluation.

inception-v3 matplotlib numpy pandas python pytorch

Last synced: 14 Apr 2026

https://github.com/icepanorama/internship-visualizations-and-demonstrations

A collection of some of the programs that I've written over the course of my internship.

artificial-intelligence machine-learning matplotlib numpy pandas python3 pytorch scikit-learn

Last synced: 14 Apr 2026

https://github.com/samir-atra/experiments_and-_improvements

A repository showing the knowledge in some of the machine learning technologies there are.

dcgan-tensorflow numpy tensorflow-tutorials tensorflow2

Last synced: 23 Jan 2026

https://github.com/chandkund/sentiment-analysis-using-nlp

This project focuses on Sentiment Analysis using the textual content from product reviews. The goal is to analyze user sentiments based on their written feedback, particularly focusing on the "reviewText" column in the dataset.

lemmatization matplotlib nlp nltk numpy pandas seaborn tokenization

Last synced: 31 Jan 2026

https://github.com/andrewzhoumq123/sci_graph_api

Generates different types of detailed plots for scientific data

fastapi h5py json matplotlib numpy pandas scipy

Last synced: 12 Apr 2026

https://github.com/manikantasanjay/data_analysis_using_python_libraries_series

This Series contains Data Analysis projects performed on different Kaggle datasets and providing valuable insights into the data by making use of Python libraries.

exploratory-data-analysis kaggle-datasets machine-learning matplotlib numpy opendatasets pandas python visualization

Last synced: 12 Apr 2026

https://github.com/mahmood-anaam/grid-world-value-iteration

An implementation of the Value Iteration algorithm for solving the Grid World problem. This project provides a function to compute the optimal value function for a grid-based environment where a robot navigates to maximize rewards while avoiding penalties.

dynamic-programming grid-world numpy optimization-problem python value-iteration-algorithm

Last synced: 10 May 2026

https://github.com/sopheakchan/dull-razor-algorithm

DullRazor hair removal for dermoscopic skin images.

numpy opencv python

Last synced: 06 May 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/coder5omkar/lendingclubcasestudy

Performed exploratory data analysis (EDA) on the loan dataset from the Lending Club Case Study to identify the key factors influencing loan defaults.

bivariate-analysis data-science exploratory-data-analysis matplotlib numpy pandas seaborn univariate-analysis

Last synced: 06 May 2026

https://github.com/alejoduarte23/bs6472

Serviceability assessment as per BS 6472 for human exposure to vibration in buildings Vibration sources other than blasting

matplotlib numpy pydantic scipy

Last synced: 07 Jan 2026

https://github.com/chirindaopensource/search_benford_law_compatibility

End-to-End Python scalable forensic accounting toolkit implementing Benford's Law analysis for FTSE financial data. Delivers automated anomaly detection with Chi-Squared/MAD testing, comprehensive validation pipelines, and risk-based prioritization of investigative resources. Replicates Ausloos et al.'s (2025) methodology with full reproducibility.

academic-research anomaly-detection benfords-law chi-squared-test data-validation econometrics financial-analysis financial-data forensic-accounting fraud-detection ftse goodness-of-fit jupyter-notebook numpy pandas python reproducible-research risk-management scipy statistical-testing

Last synced: 12 Apr 2026

https://github.com/hifly81/photox

photo and album organizer for gtk3

gtk3 numpy opencv-python photography pil pillow python

Last synced: 24 Oct 2025

https://github.com/kostadinlambov/bitcoin-and-stock-market-correlation

This study uses a quantitative research design to analyze the relationship between Bitcoin prices and the stock market over the past five years with the S&P 500 Index serving as a proxy for the stock market.

bitcoin data-science jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-stats seaborn sp500-data-analysis

Last synced: 09 Apr 2026

https://github.com/harmanveer-2546/reducing-data-entries

Way to delete data entries from csv/excel file using. For excel file, use excel instead of csv in the code.

csv data data-entry delete-data excel numpy pandas python

Last synced: 05 May 2026

https://github.com/junaidsumsaal/advanceparkingsystem

Its a web application that integrates AI-powered parking spot predictions, real-time notifications, and role-based dashboards for Drivers, Attendants, and Providers. This system is designed to streamline parking operations, enhance user experience, and leverage machine learning for future availability predictions.

axios-react chakra-ui-react data-science met metrics ml numpy pand python3 react sklearn tailwindcss typescript

Last synced: 11 Apr 2026

https://github.com/Sadegh-Khedry/Pneumonia-Detection-Using-CNN

Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).

cnn convolutional-neural-networks cv2 deep-learning harris-corners joblib jupyter-notebook keras kmeans-clustering matplotlib numpy orb pandas python seaborn shutil sifit tensorflow

Last synced: 12 Apr 2026

https://github.com/akashkg03/feynn-labs-internship

This repository contains the projects I did as a Data Science intern with Feynn Labs.

data-science machine-learning matplotlib numpy pandas python scipy seaborn

Last synced: 07 Jan 2026

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

CRM Analytics Dashboard โ€“ 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. ๐Ÿš€๐Ÿ“Š

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

Last synced: 14 Apr 2026

https://github.com/fazal-coder/capturing_img

python code for Creating blue color image

loop numpy opencv processing python scheduler threading

Last synced: 06 May 2026

https://github.com/apbetioli/neural-network

A simple neural network implementation

machine-learning neural-network numpy python3

Last synced: 29 Apr 2026

https://github.com/hariprasath-v/av-job-a-thon-november-2022

Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.

exploratory-data-analysis kaggle lightgbm-regressor matplotlib numpy pandas python rmse-score seaborn sklearn statsmodels timeseries-forecasting

Last synced: 12 Apr 2026

https://github.com/cycle-sync-ai/student-score-analysis

A data-driven student performance analysis project using UCI dataset (396 students, 33 features). Implements machine learning models (K-means, PCA, Decision Tree, Random Forest, Linear Regression) to analyze academic patterns and predict student scores based on lifestyle, health, and study habits.

clustering clustering-algorithm decision-trees feature-engineering learning-management-system linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas pca pickle prediction prediction-algorithm scikit-learn score seaborn student

Last synced: 06 May 2026

https://github.com/elmezianech/classifyreviews_nlp

Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.

accuracy-score ai countvectorizer cross-validation joblib logistic-regression machine-learning ml multinomialnb naive-bayes-classifier nltk-library numpy pandas randomforestclassifier svc

Last synced: 06 May 2026

https://github.com/manuel-lang/numpymongo

A python package to export NumPy data to MongoDB

mongodb numpy wrapper

Last synced: 23 Feb 2026

https://github.com/miasanromen/math-modeling

Math modeling with Python. Statistics, math, graphics

math matplotlib numpy probality-theory scipy-stats statistics

Last synced: 14 Apr 2026

https://github.com/adriantomin/bulldozer-price-prediction

Predicting the Sale Price of Bulldozers Using Machine Learning ๐Ÿšœ๐Ÿ’ฐ This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.

data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 23 Jan 2026

https://github.com/tugot17/neural-network-from-scratch

Simple neural network implemented from scratch using numpy package

from-scratch neural-network numpy python

Last synced: 26 Oct 2025

https://github.com/sothulthorn/stock-prediction-portal

The Stock Prediction Portal is a full-stack web application that demonstrates how to use machine learning models to analyze stock market data and forecast future trends.

axios django django-rest-framework javascript keras matplotlib numpy pandas python react tensorflow yfinance

Last synced: 02 Apr 2026

https://github.com/ggrbill/phd-plot-scripts

My personal plot scripts used to generate graphs for my PhD Thesis

hacktoberfest matplotlib numpy python

Last synced: 18 Apr 2026

https://github.com/fbi555/fashion-mnist-cnn-tf

๐Ÿงต Classify fashion images using a compact CNN model in TensorFlow/Keras, designed for the Fashion-MNIST dataset with easy execution in Google Colab.

adam classification cnn colab-notebook computer-vision convolutional-neural-networks custom-training-loop deep-learning fashion-mnist gans image-classification interactive jupyter-notebook keras lowlevelapi mnist-dataset numpy regularization

Last synced: 06 May 2026

https://github.com/pushtogithub23/projectilemotion-simulation

This Jupyter notebook explores projectile motion through mathematics, visualizations, and interactive simulations.

jupyter-notebook matplotlib-pyplot numpy physics-simulation projectile-motion-simulation

Last synced: 28 Jan 2026

https://github.com/rezasharifi82/lesson_extractor

Extract all possible "ู…ุนุงุฑู" courses @ Ferdowsi University of Mashhad ,FUM

beautifulsoup4 ipynb jupyter-notebook numpy pandas python3 regex

Last synced: 06 Feb 2026

https://github.com/armahdavi/data_pipeline_analytics_statistics_ml_pm_psd_residential_qff

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics

Last synced: 11 Apr 2026

https://github.com/ewakamoto/03.-python-projects

This is my collection of Python Projects

jupyter jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/aleksandarbuk/machine-learning

The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.

matplotlib numpy python scikit-learn tensorflow

Last synced: 16 Apr 2026

https://github.com/bhushan148/ipl-stats-analysis

This project explores IPL data to show team and player performances. ๐Ÿ“ˆ Key highlights include analyzing match results, highest scores, and performance at different venues. ๐ŸŸ๏ธ It uses charts to reveal trends like win margins and average scores by venue. ๐Ÿ“‰ Discover important insights into what affects match outcomes and team success.

jupyter-notebook markdown matplotlib-pyplot numpy pandas python seaborn

Last synced: 12 Apr 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/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/rizkyrajitha/ann_101

A really simple neural network for binary classification written from scratch using python

jupyter-notebook numpy pandas

Last synced: 08 May 2026

https://github.com/harmanveer2546/heart

Predicting the presence of heart disease based on several health-related factors and Performing - i.) Data Cleaning ii.) Data Pre-Processing iii.) EDA iv.) Compare 5 different classification algorithms (Logistic Regression, Decision Tree, Random Forest, KNN and SVC)

data-preprocessing decision-tree eda knn logistic-regression machine-learning numpy pandas random-forest roc-auc-curve svc

Last synced: 03 May 2026