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/faraazarsath/handson-numpy

This respository is on various Numpy Tasks provided as academic assignment

numpy

Last synced: 16 May 2026

https://github.com/pyfig/s21_data-science-bootcamp

School21 Bootcamp Data Science

data data-science numpy pandas python school21

Last synced: 26 Jun 2025

https://github.com/MuhammedMorad/Egypt-Premier-Fashion-Sales-Analysis

Egypt’s Premier Fashion Sales Analysis is a data-driven project that provides interactive sales insights using Streamlit, Power BI, and Pandas. It analyzes sales trends, customer behaviors, and product performance while offering real-time dashboards and downloadable reports. helping businesses make informed, data-driven decisions. 🚀

matplotlib numpy pandas plotly python seaborn streamlit

Last synced: 30 Dec 2025

https://github.com/josewebdev2000/mean-variance-calculator

My Solution to the first challenge of the Data Analysis with Python certification of Freecodecamp

data-science freecodecamp-challenge numpy python

Last synced: 20 May 2026

https://github.com/anodicpassion/printing-accuracy-analyzer

This project provides a web-based application for analyzing the print quality of scanned documents by comparing them against a template. It identifies issues such as misalignment and blur, providing visual feedback and quantitative metrics.

numpy opencv-python print

Last synced: 20 May 2026

https://github.com/iankitnegi/datapy

Welcome to DATAPy! This repo contains my Python coding projects for data science, featuring data manipulation, analysis, and visualization. Stay tuned for updates and new content!

basic-programming matplotlib numpy pandas python seaborn

Last synced: 30 Apr 2026

https://github.com/aysh2603/credit-card-fraud-detection

The Credit Card Fraud Detection project aims to identify fraudulent transactions from a dataset of credit card transactions. The project addresses the challenge of class imbalance and employs advanced machine learning techniques to build an effective fraud detection model.

ensemble-learning hyperparameter-tuning numpy pandas python3 scikit-learn streamlit

Last synced: 04 Feb 2026

https://github.com/ola-kaznowska/first-steps-in-numpy

My first steps in the NumPy library

mathematics numpy python python3

Last synced: 20 May 2026

https://github.com/aqueeqazam/a-deep-dive-introduction-to-tensorflow

TensorFlow is a deep learning system that provides an interface for expressing deep learning algorithms and implementing them. It uses dataflow graphs to represent computation, shared state, and the operations that mutate that state.

deep-learning neural-network numpy tensor tensorflow

Last synced: 03 Aug 2025

https://github.com/zeeshan4002911/data-analysis

Quality control, data processing, data cleaning, data ploting

jupyter-notebook jupyterlab matplotlib numpy pandas seaborn

Last synced: 30 Apr 2025

https://github.com/elifftosunn/textdataclean

Kirli veri çekildiğinde ön işleme adımlarına gerek kalmadan model eğitimi için hazır hale getirmek amacıyla yapılan uygulamadır.

corpus deasciifier morphological-analysis ngram nltk numpy pandas sentence-embedding sentence-tokenizer stemmer stopwords string turkish turkish-sentence-tokenizer word-tokenizer

Last synced: 20 May 2026

https://github.com/saattrupdan/neural_network

Homemade neural network from scratch in numpy.

neural-network numpy

Last synced: 20 May 2026

https://github.com/kr1shnasomani/genagenet

Gender and Age recognition from face images

computer-vision deep-learning neural-network numpy opencv

Last synced: 21 Jul 2025

https://github.com/kr1shnasomani/speedvision

Vehicle speed detection using Computer Vision, Deep Learning and Neural Network

bytetrack computer-vision deep-learning neural-network numpy opencv pytorch supervision tqdm yolo

Last synced: 05 Mar 2025

https://github.com/rscr1/tvims_mai_3

Решение курсового проекта «Метод наименьших квадратов»

matplotlib-pyplot numpy statsmodels sympy

Last synced: 28 Oct 2025

https://github.com/farbodbj/linear_algebra_1401

assignments of linear algebra course in AUT-CE in year 2023

linear-algebra numpy python

Last synced: 04 Apr 2025

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: 11 Apr 2026

https://github.com/subhashpolisetti/crispdm-semma-kdd-workflows

This repository demonstrates three data mining methodologies applied to various real-world datasets: CRISP-DM (Weather Analysis), KDD (Social Media Ads Analysis), and SEMMA (Spotify Recommendation System). Each project includes data exploration, preprocessing, modeling, and evaluation steps, along with comprehensive documentation, supporting files,

clustering-algorithm crisp-dm kdd latex-template machine-learning numpy pandas random-forest research-paper semma

Last synced: 07 May 2026

https://github.com/mohammedrashithkp/drlforsnakegame

This project utilises a Deep Reinforcement Learning specifically Q learning implemented using PyTorch which learns the game by interacting with the pygame environment .I have followed a tutorial on Freecodecamp YouTube Channel and made the initial model.

deep-reinforcement-learning matplotlib-pyplot numpy pygame python

Last synced: 16 May 2026

https://github.com/jt4v4res/neural-networks-and-deep-learning

Some neural networks implementation with purpose of understanding the use of this learning algorithm and deep learning.

deep-learning machine-learning machine-learning-algorithms neural-networks numpy perceptron-learning-algorithm

Last synced: 16 Jan 2026

https://github.com/sasivakulrithwik/059_iva_assignment-1

Image processing and object detection using OpenCV, including color detection, smoothing, edge detection, and face detection with Haar cascades. 🚀

ipython-notebook numpy opencv python3

Last synced: 10 Apr 2026

https://github.com/mah-22/room-occupancy-prediction-using-environmental-sensor-data

This project uses environmental sensor data to predict room occupancy, providing valuable insights for efficient energy management and space utilization in buildings. By analyzing factors like temperature, humidity, and light levels, the model aims to accurately forecast when rooms will be occupied, optimizing resources and enhancing overall buildi

classification data-science data-visualization exploratory-data-analysis machine-learning numpy pandas python seaborn time-series

Last synced: 07 May 2026

https://github.com/davgiles/ML-Projects

This repository contains my projects from the Data Science & Business Analytics Post-Graduate Program through UT Austin.

eda matplotlib numpy pandas python scikit-learn scipy seaborn visualization xgboost

Last synced: 20 Jan 2026

https://github.com/quickheaven/scs-3251-statistics-for-data-science

Repository dedicated to Term Project of UofT Statistics for Data Science Course

data-science jupyter-notebook logistic-regression numpy pandas python

Last synced: 10 Apr 2026

https://github.com/makoczoro/credit-default-risk-analysis-eda

This repository contains the detailed EDA Analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices

bivariate-analysis correlation-analysis data-preprocessing exploratory-data-analysis exploratory-data-visualizations matplotlib numpy pandas seaborn univariate-analysis

Last synced: 20 May 2026

https://github.com/chaman2003/parkinson-detection

Al-powered Parkinson's Disease Detection System leveraging smartphone sensors (voice and motion) for real-time analysis. Combines ensemble machine learning models (SVM, Random Forest, Gradient Boosting, XGBoost) with advanced feature extraction to provide accurate early detection, sub-second processing, and detailed reporting.

ai flask html-css-javascript librosa ml numpy pandas pydup python scikit-learn

Last synced: 08 Apr 2026

https://github.com/pzuehlke/ml-with-numpy

Basic ML algorithms using only NumPy

deep-learning machinelearning numpy

Last synced: 20 May 2026

https://github.com/redinfinitypro/circuitpythonprojects

Rating: (4/10) This Python script simulates circuits using PySpice, importing libraries like NumPy and Matplotlib. It defines voltage divider, diode circuits, subcircuit definitions, DC sweep analysis, and simulates each circuit using the simulator.

matplotlib numpy os pyspice sys

Last synced: 15 May 2026

https://github.com/evernext10/coursera_capstone

This repository is created for sending the IBM Data Science Lab and will be used primarily for the Capstone project.

coursera-data-science ibm numpy pandas

Last synced: 10 May 2026

https://github.com/viivianreine/carbon-footprint-calculator-using-advanced-machine-learning-cnn-

🌍 An AI-powered Carbon Footprint Calculator built with Python, TensorFlow (CNNs), and Streamlit. Delivers real-time emission predictions, visual insights, and country-wise comparisons from user lifestyle data. Adaptive, scalable, and designed to drive sustainability through intelligent software solutions.

api-based-ai-integration cloud-ready convolutional-neural-networks data-featuring data-preprocessing ipcc keras keras-tensorflow matplotlib model-optimization numpy pandas python realtime-database seaborn streamlit streamlit-deployment streamlit-webapp supervised-machine-learning tensorflow

Last synced: 08 Apr 2026

https://github.com/rahulraimau/credit-card-fraud-detection

This project develops a real-time credit card fraud detection system using the Kaggle Credit Card Fraud Detection Dataset, containing 284,807 transactions with 31 features (Time, Amount, V1-V28, Class).

imbalanced-learn- matplotlib numpy pandas python pytorch scikit-learn- tensorflow

Last synced: 08 Apr 2026

https://github.com/csengupta1101/python-concepts

All basic to advanced Python Concepts Will be covered here in depth.

data-science django dsa-algorithm flask machine-learning numpy pandas python rest-api software-development

Last synced: 08 Apr 2026

https://github.com/udayraj04/facialemotion_musicrecommendations

A web application that detects facial emotions via webcam and recommends music tracks that match the user’s mood in real-time. Built with Flask, TensorFlow/Keras, OpenCV, and a React frontend.

cnn flask machine-learning numpy opencv pil reactjs tensorflow

Last synced: 08 Apr 2026

https://github.com/anufrievsy/man_women

Данный скрипт был создан с целью поиска субъективно интересных серий ТВ-шоу "Мужское Женское"

bs4 clear-output fuzzywuzzy ipython ipython-display jupyter jupyter-notebook jupyter-notebooks matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python requests time youtube youtube-search

Last synced: 05 Feb 2026

https://github.com/sridharyadav07/ai--powered-task-management-system

An intelligent Task Management System that integrates Sentiment Analysis, Task Optimization, and Forecasting to streamline project and task handling. This AI-powered tool is designed to assist teams and project managers in making data-driven decisions by understanding emotional context, forecasting productivity, and optimizing workload distribution

arima flask joblib jupyter-notebook naive-bayes-classifier nltk numpy pandas pickle-file python randomforestregressor scikit-learn stopwords-removal streamlit tfidf-vectorizer

Last synced: 08 Apr 2026

https://github.com/pramodyasahan/house-price-prediction

This repository contains the code for a machine learning model aimed at predicting housing prices. The model is based on the RandomForestRegressor algorithm from the scikit-learn library and utilizes feature selection, preprocessing, and pipeline techniques for improved performance.

machine-learning numpy pandas python scikit-learn

Last synced: 08 Apr 2026

https://github.com/s-h-i-v-i-s/bangalore-housing-price-prediction

A Machine Learning Project to predict Bangalore House Prices.

jupyter-notebook machine-learning matplotlib numpy pandas python pythonflask sklearn

Last synced: 08 Apr 2026

https://github.com/rdmolony/nix-numpy-financial

A nix derivation for numpy-financial - https://pypi.org/project/numpy-financial/#files

nix numpy python

Last synced: 05 Mar 2025

https://github.com/pradyumnakr/facial-recognition-using-opencv

Uses haarcascades to recognize facial features, patterns and performs feature extraction followed by labelling the data to recognize the faces on a live webcam.

numpy opencv python3

Last synced: 09 May 2026

https://github.com/annygutierrez/data-preprocessing

Preprocessing deep learning template.

matplotlib numpy pandas sklearn

Last synced: 02 May 2026

https://github.com/moritzsalla/cci-advanced-visualization

Classwork for Mick Grierson's module at the Creative Computing Institute

matplotlib numpy openframeworks python tensorflow

Last synced: 06 May 2026

https://github.com/mohammedsaqibms/planar_data_classification_with_onehidden_layer

This repository implements a simple neural network for binary classification of 2D planar data using Python and NumPy. It compares logistic regression with neural networks and includes code for forward/backward propagation, gradient descent, and decision boundary visualization.

backpropagation binary-classification gradient-descent logistic-regression machine-learning neural-networks numpy python3

Last synced: 10 Jul 2025

https://github.com/alejoduarte23/si_bayesianmixturemodel

Implementation of a two-stage fast Bayesian system identification for separated Modes. This repository expands the usage of this technique by adding a mixture model fit to obtain modal parameters from the posterior distribution.

matplotlib numpy scikit-learn scipy

Last synced: 20 Feb 2026

https://github.com/harrisonwelch/pythondatascience

Repo of code from the linked-in lesson "Python: Data Analysis"

data data-science matplotlib notes numpy python tutorial

Last synced: 12 Apr 2026

https://github.com/vlad1343/tools

This repository demonstrates the acquisition of advanced Python programming skills through structured exercises and projects, with a strong emphasis on NumPy for array manipulation, slicing, masking, and reshaping

jupyter-notebook numpy numpy-library numpy-python pandas pandas-python python python3

Last synced: 08 Apr 2026

https://github.com/yessasvini23/pytorch-bootcamp-on-ai-by-opencv

This OpenCV course is highly recommended for individuals seeking an introductory experience in Computer Vision and AI, and who wish to establish a strong foundation for their career development.

cnn-classification computer-vision cv2-library deeplearning-ai numpy opencv pytorch rnn-tensorflow

Last synced: 13 Apr 2026

https://github.com/okoge-kaz/deep_learning

O'REILY ゼロから作るDeep Learning

deep-learning neural-network numpy pandas perce python3

Last synced: 20 Apr 2026

https://github.com/thekartikeyamishra/aipoweredmarketingassistant

AI-Powered Marketing Assistant, an advanced tool designed to enhance your digital marketing campaigns using the power of machine learning (ML) and large language models (LLMs). This project empowers small businesses and MSMEs to create compelling content, analyze campaigns, and strategize effectively.

artificial-intelligence llm matplotlib numpy openai pandas python scikit-learn streamlit

Last synced: 08 Apr 2026

https://github.com/byte-sourcerer/array_contract

Contract programming for Pytorch, Numpy

contracts ndarray numpy python python3 pytorch tensor

Last synced: 14 Sep 2025

https://github.com/mkdirer/depression-data-analysis

This project analyzes a Kaggle depression dataset using data preprocessing, clustering, classification, and outlier detection techniques. Python libraries like pandas, numpy, matplotlib, seaborn, and scikit-learn are used to extract insights.

classification clustering matplotlib numpy pandas scikit-learn seaborn vizualization

Last synced: 12 Apr 2025

https://github.com/shreeparab1890/laptop-price-predictor

This notebook is trying to build a model which will predict the price of the laptop based on the given specifications.

machine-learning-algorithms matplotlib numpy pandas price-prediction python scikit-learn sklearn

Last synced: 06 Apr 2026

https://github.com/jancervenka/genalg

Solver for traveling salesman problem

genetic-algorithm numpy python

Last synced: 12 Apr 2025

https://github.com/jaffarkeikei/hackbio

This repository contains a comprehensive toolkit for analyzing single-cell perturbation data from the NeurIPS 2023 Competition. The project focuses on understanding how different drugs (small molecules) affect various cell types at the gene expression level.

csv-files jupyter-notebook matplotlib numpy python tensors

Last synced: 11 May 2026

https://github.com/dmarks84/coursework_capstone_spacex_predictions

Final Project for IBM Data Science Professional Certificate -- Applied all skills and methods utilized in the series of courses for this certification to predict the success of SpaceX landings; issued full report to stakeholders

api classification dash eda folium linear-algebra matplotlib mysql numpy pandas plotly probability python seaborn sql statistics supervised-ml technical-writing web-scraping

Last synced: 08 Apr 2026

https://github.com/01one/python-online-with-pyodide

Run and edit python code including matplotlib and numpy on the browser with pyodide and codemirror

matplotlib-python numpy pyodide python-browser python-online python-online-compiler

Last synced: 29 Mar 2025

https://github.com/vipinchaudhary31122002/cardiopredict

CardioPredict is a smart, ML-powered application that helps analyze your risk of heart disease using interactive forms, clinical features, and trained classification models.

machine-learning matplotlib numpy pandas python3 random-forest seaborn streamlit

Last synced: 12 Apr 2025

https://github.com/takaiwai/deep-learning-notes

Documentation of my learning process about deep learning and its math

numpy python tensorflow

Last synced: 10 Apr 2026

https://github.com/vipinchaudhary31122002/bytephone

A data science project that explores, visualizes, and models smartphone features from a futuristic 2025 dataset to predict mobile prices using machine learning.

machine-learning matplotlib numpy pandas python3 scikit-learn seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/tberchanov/clustering-k-means

Sample program where is implemented clustering by K-means algorithm, and its visualisation.

clustering-algorithm kmeans-clustering matplotlib numpy python

Last synced: 16 May 2026

https://github.com/thiagohrcosta/machinelearning-temperature

A Small Machine Learning application leveraging Scikit-Learn and statistical learning to extract knowledge from data without explicit programming.

machine-learning numpy pandas python3 scikit-learn

Last synced: 08 Apr 2026

https://github.com/vrush9840/emotion-detection-from-tweets-using-dl

Emotion detection from tweets using Deep Learning (LSTM & BERT) to classify emotions such as Positive, Negative, Neutral, and Irrelevant with emoji recommendations.

glove-embeddings lstm matplotlib nltk numpy pandas python seaborn shap tensorflow

Last synced: 10 Apr 2026

https://github.com/mikhailkhorokhorin/the-loop

Student project of team "полетики-самолетики"

3dsmax krpc ksp math matplotlib numpy python

Last synced: 20 May 2026

https://github.com/ksharma67/eda-on-ipl

In this python notebook, analysis of IPL matches from 2008 to 2020 is done using python packages like pandas, matplotlib and seaborn.

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

Last synced: 07 May 2026

https://github.com/nirmit27/credit-risk-modeling

Classification and regression models for predicting the level of risk associated with extending credit to a borrower and the basic EPS amount respectively.

credit-risk credit-risk-analysis machine-learning ml ml-model ml-models modelling numpy pandas python python3 sckiit-learn

Last synced: 29 Apr 2026

https://github.com/themihirmathur/machine-failure-predictor

The 'Machine Failure Predictor' is a web application designed to enable predictive maintenance for industrial equipment. Leveraging machine learning techniques, this application predicts whether equipment will fail and identifies the type of failure based on key process parameters.

cicd digitalocean docker fastapi flask github github-actions machine-learning matplotlib mlops numpy plotly python randomforest scikit-learn seaborn streamlit

Last synced: 10 Apr 2026

https://github.com/hasnainroopawalla/sudoku-generator

This algorithm can generate and solve a random Sudoku Puzzle Board using Backtracking

backtracking numpy python sudoku-generator

Last synced: 16 May 2026

https://github.com/andriikot/smartmatch

Smart Match with python

docker faiss huggingface numpy ptyhon pythorch

Last synced: 04 Apr 2026

https://github.com/matheusotenio/oficina-python

https://oficina-python.streamlit.app/

matplotlib numpy python streamlit

Last synced: 27 Jun 2025

https://github.com/dulajkavinda/diabetes-detection

💊detect diabetes using machine learing

added machinelearning numpy pandas python scikit

Last synced: 14 Sep 2025

https://github.com/winstxnhdw/pyalign

An over-engineered website for aligning multiline strings to a common character with PyScript.

numpy pyscript uv

Last synced: 13 Jun 2025

https://github.com/sandeepannandi/slicecam

SliceCam is a fun, camera-controlled game powered by OpenCV and Mediapipe that lets you slash flying fruits with real-time hand tracking.

collision-detection handtracking mediapipe mediapipe-hands motiondetection numpy opencv pygame python

Last synced: 06 May 2026

https://github.com/bishopce16/surfs_up

An analysis of weather data to determine opening of an ice cream and surf shop using SQLite, SQLAlchemy, and Python.

matplotlib numpy pandas python sqlalchemy sqlite weather

Last synced: 02 Apr 2026

https://github.com/danielpancake/mlml

my little machine learning library written in NumPy

machine-learning numpy

Last synced: 05 Apr 2025

https://github.com/ohyeasabhi/signature-recognizer

Este projeto desenvolve um sistema para verificar a similaridade de assinaturas usando redes neurais. Ele utiliza o Triplet Loss para criar embeddings, focando na avaliação biométrica com o dataset CEDAR. 🖊️🌐

backpropogation-neural-network computer-vision django image-recognition jupyter-notebook keras machine-learning-projects neural-network numpy one-shot-learning python-project siamese-neural-network signature signature-recogniton tensorflow type voice-recognition windows

Last synced: 08 Apr 2026

https://github.com/abdelrahman-lila/seam-carving

Seam Carving for Content Aware Image Resizing Project - Computer Vision Lab

numba-jit numpy python

Last synced: 10 Jul 2025

https://github.com/claby2/mouse-track

Track, display, and graph the position of a mouse cursor.

c cpp matplotlib numpy python sdl2 windows

Last synced: 12 Apr 2026

https://github.com/abynxv/automatedexamsheetgrader-ocr

This Python project automates grading of handwritten or printed answer sheets using OCR (Optical Character Recognition). It extracts student answers from scanned images, compares them to an answer key, and generates a detailed report with class statistics.

numpy ocr-recognition opencv pandas python3 tesseract

Last synced: 27 Jun 2025

https://github.com/baschin1103/principal_component_analysis

In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.

3d-printing labelencoder matplotlib numpy pandas principal-component-analysis sklearn-library sqlalchemy standardization variable-importance

Last synced: 13 May 2026