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/epsoft/ner

NER

ner numpy pandas

Last synced: 04 May 2026

https://github.com/ikaushikpal/ml_prerequisite

In this repository, I'm just practicing the basics of data visualizing and data clearing, thanks for checking my repo

jupyter-notebook matplotlib numpy pandas python

Last synced: 28 Apr 2026

https://github.com/rakibhhridoy/machinelearning-featureselection

Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.

extratreesclassifier feature-selection gridsearchcv lasso-regression logistic-regression machine-learning numpy pandas pca rfe rfecv scikit-learn selectkbest

Last synced: 02 May 2026

https://github.com/sahajrajmalla/co2-calculator-api

A Web Application backend API that enables people to create events, join events, and measure the carbon footprint produced by each participant to get insights about online and onsite carbon emissions.

apis carbon-emissions carbon-footprint fastapi makefile numpy pandas precommit sqlalchemy sqlite3 uvicorn

Last synced: 09 Apr 2026

https://github.com/mgobeaalcoba/pandas_y_numpy

Trabajos realizados con estas librerías de Python para manejo de datos.

data-analysis data-science dataset numpy pandas python

Last synced: 28 Apr 2026

https://github.com/sebsikora/curve_fitting

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

curve-fitting minimisation numpy optimisation python scipy

Last synced: 13 Apr 2026

https://github.com/prashver/titanic-survival-prediction

This project tackles the Titanic challenge on Kaggle, predicting passenger survival based on variables like age, sex, and passenger class. The Jupyter notebook covers essential steps of a data science pipeline, including exploratory data analysis, data cleaning, feature engineering, and modeling. The dataset used is the Titanic dataset.

classification-algorithm machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn

Last synced: 02 May 2026

https://github.com/burakkagann/pixels2genai-2.0

Free, open-source curriculum teaching generative art and AI across 15 modules, from a single pixel to diffusion models.

computer-vision creative-coding curriculum deep-learning design-based-research diffusion-models education gans generative-ai generative-art machine-learning numpy pytorch touchdesigner vae

Last synced: 19 Jun 2026

https://github.com/alibowndyn/flickerforge

A customizable image and GIF generator mimicking old television static, offering control over colors, blur, dimensions, pixel size, and many more.

numpy pillow pyqt6 python

Last synced: 05 May 2026

https://github.com/vtramo/neural-networks-experiments-from-scratch

The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.

activation-functions backpropagation batch-learning classification-problem early-stopping gradient-based-algorithm improved-resilient-backpropagation irprop kfold-cross-validation minibatch momentum neural-network numpy online-learning python python3 resilient-backpropagation rprop softmax stochastic-gradient-descent

Last synced: 28 Apr 2026

https://github.com/garcane/Income-Prediction-ML

This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.

data data-science machine-learning ml numpy pandas python random-forest scikit-learn

Last synced: 24 Oct 2025

https://github.com/faisal-khann/diwali-sales-analysis

The "Diwali Sales Analysis" project aims to analyze the sales data during the Diwali festival period to uncover insights and trends that can help improve marketing strategies and sales performance in the future

csv data-analysis eda jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 11 Apr 2026

https://github.com/patilni3/python_data_analysis

Important Tools and its Functions

excel matplotlib numpy pandas seaborn

Last synced: 28 Apr 2026

https://github.com/princeofpuppers/qbot

A Domain-Specific Programming Language for Analyzing Quantum Algorithms

esoteric-language numpy probabilistic-programming quantum-computing quantum-programming-language

Last synced: 28 Apr 2026

https://github.com/sureshbeekhani/machine-learning-algorithms

A collection of machine learning algorithms implemented for learning and practice, covering regression and classification models using Python.

dataanalysis datascience featurescaling linearregression machinelearning matplotlib numpy pandas python seaborn

Last synced: 28 Apr 2026

https://github.com/datarohit/car-evaluation--classification

This is a Kaggle Dataset where we classify the cars using their various features. Here I used plotly to visualize the Accuracy Scores. Also I used CrossValScore to get More accurate Accuracy Score.

classification-algorithm cross-validation-score machine-learning matplotlib-pyplot numpy pandas sklearn

Last synced: 28 Apr 2026

https://github.com/nirmalyabag20/wine-quality-prediction-machine-learning

This project analyzes the chemical properties of wines to identify key factors influencing quality. By leveraging machine learning techniques, i aim to develop predictive models that accurately classify wine quality, providing valuable insights for producers and enthusiasts alike.

k-neighbors-classifier logistic-regression machine-learning matplotlib numpy pandas python random-forest seaborn svc

Last synced: 09 Apr 2026

https://github.com/octcarp-courses/SUSTech_CS303-AI_F23_Works

(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.

numpy pytorch sustech

Last synced: 24 Oct 2025

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

Longitudinal neurophysiological study of adult psychometric testing.

keras matplotlib numpy pandas python pytorch scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/smusab9152/pokemon_data_analysis

This repo that explores and analyzes a dataset of Pokémon attributes. The analysis includes data cleaning, exploratory data analysis (EDA), and visualizations .

analytics data-analysis data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas pokemon python seaborn statistical-analysis

Last synced: 02 May 2026

https://github.com/kamakshi4023/brain-tumour-detection

ML based project which uses various techniques to build a hybrid model for identifying brain tumour in MRI images

jupyter-notebook keras machine-learning ml numpy python seaborn sklearn sklearn-metrics tensorflow

Last synced: 03 Jan 2026

https://github.com/techassi/hfu-imgcomp

Image processing and computer graphics SOSE 22

computer-vision image-processing numpy opencv python

Last synced: 11 Apr 2026

https://github.com/hansalemaos/numba_aot_compiler

A function to facilitate the Ahead-of-time compilation with Numba

aheadoftime aot compile numba numpy pyd

Last synced: 23 Jan 2026

https://github.com/simran1002/strip-analyzer

The Strip Color Identification is used to analyze images of urine strips uploaded by users. Using computer vision techniques, particularly leveraging OpenCV, the interface identifies and extracts the colors present on the strip.

flask multer nodejs numpy opencv python reactjs

Last synced: 10 Apr 2026

https://github.com/ejw-data/proj-nba-eda

NBA exploratory data analysis project with Pandas and Tableau

nba numpy pandas python tableau

Last synced: 14 Apr 2026

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

A sophisticated movie recommendation system that suggests films based on user ratings and collaborative filtering techniques. Get personalized movie suggestions based on viewing patterns and user preferences! 🎯

machine-learning machine-learning-algorithms matplotlib numpy pandas python recommender-system seaborn

Last synced: 29 Apr 2026

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

Old School Runescape bot with CNN for object identification

cuda numpy python pytorch

Last synced: 04 May 2026

https://github.com/yogeshnile/flight-delay-prediction

In this repo i developed predict a flight delay using machine learning.

flight-delay-prediction jupyter-notebook machine-learning numpy pandas python3 seaborn sklearn

Last synced: 13 Feb 2026

https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression

This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.

curses kaggle linear-regression matplotlib-pyplot mean-absolute-error mean-square-error numpy pandas pathlib python scikit-learn train-test-split

Last synced: 10 Apr 2026

https://github.com/akshay-kamath/visual-privacy-protection

An AI based application designed to protect visual privacy by anonymizing faces and obfuscating sensitive textual information (PII) in both images and videos

ai caffemodel computer-vision deep-learning nlp numpy ocr opencv pillow python3 tkinter

Last synced: 29 Apr 2026

https://github.com/aymen016/emotion-recognition-using-face-detection

A deep learning-based project that detects human faces and predicts their emotions in real-time using OpenCV and a trained neural network model.

gpu-acceleration haar-cascade-classifier keras-tensorflow matplotlib numpy opencv python

Last synced: 13 Apr 2026

https://github.com/dmarks84/coursework_coursework_project_automobile-sales-visualization

Project for IBM Data Science course on Visualization & Dashboards -- Analyzed historical sales data, performing EDA and setting up an interactive dashboard

communication dash dashboards data-modeling elt etl folium matplotlib numpy pandas pipelines plotly python scipy seaborn visualization

Last synced: 10 Apr 2026

https://github.com/quentinwidlocher/cours-python-pandas

Jupyter Lab sur le traitement des données en python

jupyter-lab matplotlib numpy pandas python

Last synced: 13 Apr 2026

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

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

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

Last synced: 13 Apr 2026

https://github.com/upul/indi

Small Machine Learning library written in Python

algorithms machine-learning numpy python scipy

Last synced: 10 Apr 2026

https://github.com/poornesh-v/bank-customer-churn-prediction-system

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

jupyter-notebook matplotlib numpy pandas-python python seaborn

Last synced: 11 Apr 2026

https://github.com/briankopp/fewerbytes

compress numpy arrays. binary and numeric techniques for numpy compression

compress compression numpy python python3 storage

Last synced: 18 May 2026

https://github.com/omerkel/fractals

Rendering Fractals like Hilbert curves, Julia sets and Mandelbrot sets in various techniques.

fractals glsl-shaders hilbert-curve julia-sets jupyter-notebook mandelbrot-sets matplotlib numpy webgl-shader

Last synced: 13 May 2026

https://github.com/srujayreddy/selling-laptops

Predicting whether users will click on a promotional email for laptops based on historical user data and browsing logs.

customer-behavior-analysis feature-engineering logistic-regression machine-learning marketing-analytics numpy pandas predictive-modeling scikit-learn

Last synced: 12 Apr 2026

https://github.com/narenkhatwani/arkouda-projects

This repository contains the source codes of the projects done using Arkouda (a software package that allows a user to interactively issue massive parallel computations on distributed data using functions and syntax that mimic NumPy, the underlying computational library used in most Python data science workflows.)

arkouda data-analysis data-analytics data-science high-performance high-performance-computing highperformancecomputing numpy pandas parallel-computing parallel-processing parallelization python

Last synced: 17 Apr 2026

https://github.com/ryantusi/ai_ml_fundamentals

Welcome to my GitHub repository showcasing projects completed during the AI/ML Foundation course from Codecademy. This repository contains a collection of projects that demonstrate my skills and knowledge in the field of artificial intelligence and machine learning.

artificial-intelligence data-science data-visualization exploratory-data-analysis foundation machine-learning numpy pandas python

Last synced: 14 Apr 2026

https://github.com/bogdang888g/jojo_stands

Анализ параметров стендов из ДжоДжо

numpy pandas plotly python scipy

Last synced: 11 Apr 2026

https://github.com/tynoee/movies-data-anlysis

This project explores a dataset of movies sourced from IMDb (via Kaggle) to uncover trends and insights about movie production, popularity, ratings, and more.

jupyter-notebook kaggle-dataset matplotlib numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/mattdelaune/saas_cohort_analysis

This project analyzes customer segmentation and behavior using data science and cohort analysis. Key metrics like CRR, NRR, CLR, and CLV are examined through detailed charts, including the cohort layer cake and CLR vs. CLV cost efficiency analysis. Exploratory Data Analysis and systematic data manipulation reveal actionable insights.

anaconda git jupyter-notebook matplotlib numpy pandas python saas-data sales-data sales-data-analysis-project seaborn

Last synced: 03 Jan 2026

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

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

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

Last synced: 13 Apr 2026

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

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

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

Last synced: 13 Apr 2026

https://github.com/akash-rajak/large-image-preview

Python Script to view large image using scroll bars.

cv2 large-image large-image-preview numpy python3 tkinter

Last synced: 04 May 2026

https://github.com/mark0011astra/simplecuda

CUDAを使用したGPU演算をNumPyと同様のインターフェースで簡単行えるライブラリ。A library that allows users to easily perform GPU operations using CUDA with a NumPy-like interface.

cuda cupy gpu machine-learning numpy python vector

Last synced: 02 May 2026

https://github.com/italoseara/cet083

Medidas de Posição (ou separatrizes) - CET083

data-science matplotlib numpy pandas portuguese python statistics university

Last synced: 03 May 2026

https://github.com/hernandemonteiro/host_national_search_2015

Análise Estatística da Pesquisa Nacional por Amostra de Domicílios

colab-notebook matplotlib numpy pandas pnad python3 pythonnotebook seaborn

Last synced: 29 Apr 2026

https://github.com/rusiruchapana/blood-group-prediction

Creating a machine learning project to predict blood groups from fingerprint patterns

asp-net-web-api keras matplotlib numpy opencv-python pandas pillow scikit-learn tensorflow

Last synced: 11 Apr 2026

https://github.com/harmanveer-2546/supply-chain

Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.

customer-segmentation-analysis data data-analysis data-cleaning data-insights ggplot2 numpy pandas performance-evaluation predictive-analytics-for-business python risk-assessment sales-analysis statistical-analysis supply-chain tidyverse trend-analysis

Last synced: 10 Apr 2026

https://github.com/serhatderya/fall_detection

This project implements a computer vision-based fall detection system using deep learning techniques. The system can detect whether a person has fallen in images or video frames.

ai artificial-intelligence artificial-neural-networks computer-vision deep-learning deep-neural-networks deeplearning falldetection matplo neural-network numpy opencv pil pillow pytorch tensorflow yolo yolov5 yolov8

Last synced: 11 Apr 2026

https://github.com/harsh8088/py_cluster

Grouping in data values.

numpy python sklearn

Last synced: 11 Apr 2026

https://github.com/nirmalyabag20/loan-status-prediction-using-machine-learning

This project focuses on predicting the loan status (approved or not approved) based on various applicant details. The goal is to develop a machine learning model that accurately classifies whether a loan should be approved, helping financial institutions make informed lending decisions.

matplotlib numpy pandas python scikit-learn seaborn support-vector-machine

Last synced: 19 Jan 2026

https://github.com/otuemre/simplenet

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

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

Last synced: 13 Apr 2026

https://github.com/ralstonraphael/water_access_ml_project

This project analyzes life expectancy data from the World Health Organization (WHO), sourced from Kaggle. The dataset spans 183 countries across 6 regions, covering metrics such as life expectancy, mortality rates, healthcare access, and socioeconomic factors.

data-science machine-learning numpy pandas python

Last synced: 29 Apr 2026

https://github.com/cs-joy/numpyv1.25.2

@numpy

numpy

Last synced: 03 May 2026

https://github.com/dudynets/numerical-methods-labs-tkinter

Labs for Numerical Methods course at Ivan Franko Lviv National University.

interpolation labs linear-algebra matplotlib numerical-methods numpy python tkinter university

Last synced: 14 May 2026

https://github.com/dimatura/imgutils

Miscellaneous Numpy and PIL utilities for images.

image numpy pil pillow python

Last synced: 19 Jan 2026

https://github.com/sivatsk26/university-admit-eligibility-predictor

This project is created using Machine Learning and Regression methods- a statistical technique to predict the outcome of event which is to verify the users’ admission eligibility level, considering the universities they have chosen. This is achieved based on the algorithms implemented, when is user feed the application with the required information

html-css-javascript ibm-cloud ibm-watson linear-regression machine-learning matplotlib numpy pandas python python-flask random-forest scikit-learn

Last synced: 13 Apr 2026

https://github.com/gandhasiri-rahul-mohan/random-forests-q2-company_data

About the data: Let’s consider a Company dataset with around 10 variables and 400 records.

data-science machine-learning numpy pandas python random-forest seaborn-plots

Last synced: 07 Apr 2026

https://github.com/li-plus/tinynn

An educational PyTorch-like neural network framework based on NumPy

autograd deep-learning machine-learning neural-network numpy python

Last synced: 30 Apr 2026

https://github.com/Tritonix711/FractureAI

This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.

css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics

Last synced: 19 Aug 2025

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

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

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

Last synced: 01 Mar 2025

https://github.com/thedevreda/python

My Full Backup Packagaes & Files Guide for Python 👷‍♂️

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 20 Apr 2026

https://github.com/cusyio/datenverarbeitung-mit-numpy

Kurs zum Schreiben und Optimieren eigener Programme zur Datenverarbeitung mit Numpy.

numpy

Last synced: 08 Jun 2026

https://github.com/cyberoctane29/unicorn-companies-analysis

This project explores unicorn companies, private startups valued at over $1 billion, using Python for data analysis. It covers industry trends, geographic distribution, and investment patterns through EDA, including data cleaning, handling missing values, datetime transformations, and visualizations to uncover key insights.

data-analysis eda numpy pandas python

Last synced: 02 May 2026

https://github.com/petitgrizzlies/metaheuristiques

Travaux pratiques de meta heuristique. Unige 2016-2017

cffi cpp golang heuristic-algorithm matplotlib numpy python35

Last synced: 13 Apr 2026

https://github.com/mothnik/robust_fourier

Noise- and Outlier-Robust Fourier Transform with Hermite Functions with NumPy and Numba

chebyshev-polynomials fourier-transform hermite-functions hermite-polynomials least-square-regression logsumexp numba numpy python robust-statistics

Last synced: 04 Jan 2026

https://github.com/m-rishab/housing-price-prediction

The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.

gridsearchcv hyperparameter-tuning matplotlib matplotlib-pyplot numpy pandas pickle python3 randomforestregressor scipy sklearn

Last synced: 11 Apr 2026

https://github.com/elazzouzihassan/si-fraud-detection-prototype

Système de Détection des Fraudes avec Python (Prototype).

googlecolab matplotlib numpy pandas python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books

Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots

apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-machine-learning

Last synced: 04 May 2026

https://github.com/mgobeaalcoba/matplotlib_y_seaborn

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

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

Last synced: 13 Apr 2026