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/sweta2501/ml

Consist of ML projects based on Python along with DataSheets

machine-learning matplotlib-pyplot numpy pandas python seaborn sklearn sklearn-model

Last synced: 14 Apr 2026

https://github.com/saifalibaig/covid-19-death-rate-analysis-using-python

Analysis of Covid-19 data along with the world happiness report to identify if there is any relationship between death rate and happiness rate of countries all over the world.

data-analysis data-visualization numpy pandas python3 sns visualization

Last synced: 03 May 2026

https://github.com/lorenzorottigni/ml-kyphosis

Machine Learning python bootcamp: decision trees & random forest on kyphosis dataset

decision-trees ipynb machine-learning numpy pandas python random-forest seaborn

Last synced: 14 Apr 2026

https://github.com/sultanazhari/game-trend

Ice as a online store Video Games want to know a new trend of video game to help them prepare a video games which is more profitable to sell. As a data Analyst we're giving a trend of video game by genre, platform, console and the others clasification.

matplotlib-pyplot numpy pandas python3 scipy-stats video-game

Last synced: 11 Apr 2026

https://github.com/ricky9667/taiwanoceantrashpredict

A very simple DNN project using Keras.

dnn keras numpy python

Last synced: 14 Apr 2026

https://github.com/dwija12903/ai-lab

A collection of practical implementations from my AI Labs course

keras numpy sckit-learn tensorflow

Last synced: 19 Jan 2026

https://github.com/gayatri018/ab-testing-marketing-campaign

This project involves conducting A/B testing to evaluate the performance of two marketing campaigns: Facebook Ads and Google Adwords for an online retail business. The primary goal is to determine which campaign is more effective in driving user engagement and conversions, helping the company optimize its marketing strategies.

ab-testing linear-regression matplotlib numpy pandas python scipy seaborn sklearn-

Last synced: 10 Apr 2026

https://github.com/guybanbo/qr-algorithm

QR alogrithm for finding eigenvalues and eigenvectors of a large symmetric matrix

haskell hmatrix numpy optimization python qr-algorithm symmetric-matrix

Last synced: 19 Jan 2026

https://github.com/umesh-01/python

Python is a programming language that lets you work more quickly and integrate your systems more effectively. Python is used for web development, AI, machine learning, operating systems, mobile application development, and video games.

ai application-development artificial-intelligence deep-learning machine-learning matpotlib ml nlp numpy open-source pandas python python-framework python-libraries python3 web-development

Last synced: 07 Apr 2026

https://github.com/jonad/quora_w2v

In-domain word embedding using Quora dataset.

gensim-word2vec matplotlib numpy pandas python3

Last synced: 11 Apr 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/angelarreola/ai_notes

Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.

ai matplotlib numpy pandas phaserjs python scikit-learn

Last synced: 21 Jan 2026

https://github.com/sahilk12nayak/hyperspectral-corn-don-prediction-project

This project contains a machine learning pipeline for predicting DON (vomitoxin) concentration in corn samples using hyperspectral imaging data.

matplotlib numpy pandas python scikit-learn seaborn tensorflow

Last synced: 10 Apr 2026

https://github.com/saagnik-mondal/chessengine

This is a simple and efficient chess engine implemented entirely in Python. It allows users to play chess against the computer, using an AI based on a Minimax algorithm with Alpha-Beta pruning for decision-making. The engine is designed to be easy to understand, extend, and play against the computer.

numpy pygame python3

Last synced: 10 May 2026

https://github.com/szymon-budziak/real_estate_house_prices_prediction

Predicting real estate house prices using various machine learning algorithms, including data exploration, preprocessing, model training, and evaluation.

data-analysis data-preprocessing data-science eda jupyter-notebook machine-learning matplotlib numpy optuna pandas predictive-modeling price-prediction python random-forest regression scikit-learn seaborn

Last synced: 21 Jan 2026

https://github.com/lorenzorottigni/ml-ecommerce

Machine Learning python bootcamp: linear regression on ecommerce dataset

ipynb linear-regression machine-learning numpy pandas python scikit-learn seaborn

Last synced: 07 Apr 2026

https://github.com/abhishekyadav915/multiple_disease_prediction_using_ml

Developed a web-based application for predicting the likelihood of multiple diseases using machine learning models with accuracy up to 95%.

colab-notebook logistic-regression numpy pandas python3 sklearn spyder-python-ide streamlit-web streamlitcloud svm-classifier

Last synced: 05 May 2026

https://github.com/the-developer-306/neural-style-transfer

Neural Style Transfer project leveraging TensorFlow and VGG19 to blend artistic styles with content images. Features include style and content initialization, multi-layer feature extraction, total variation loss, and post-processing enhancements like sharpening, upscaling, and brightening.

deep-learning image-processing neural-style-transfer numpy opencv-python post-processing tensorflow transfer-learning vgg19

Last synced: 01 May 2026

https://github.com/deanlogan/data-analysis-course

Code created when completing the Data Analysis with Python Course on freecodecamp.org

course data-analysis numpy pandas python python3

Last synced: 06 May 2026

https://github.com/alyssonmach/machine-learning-com-python

Aplicações de Machine Learning usando a linguagem de programação Python.

ia keras-tensorflow machine-learning matplotlib numpy pandas programming python scikit-learn scipy

Last synced: 10 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/amiridk/machinelearning

machine-learning-notes

matplotlib-pyplot numpy pandas pyhton

Last synced: 04 May 2026

https://github.com/gautamthampy/color-detection

Provides colour names and HTML/RGB mappings in various output formats.

c numpy opencv python

Last synced: 10 Apr 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/rohanrony19/movie-recommendation-system

This is a python project where using Pandas library we will find correlation and give the best recommendation for movies.

data-analysis deep-learning knn-algorithm numpy pandas python recommendation-system

Last synced: 14 Apr 2026

https://github.com/aqueeqazam/student-placements-using-machine-learning-and-flask

Through the use of Flask and machine learning, I show how to implement the student placement prediction model.

flask machine-learning numpy pandas

Last synced: 14 Apr 2026

https://github.com/matkorussovich/student-performance-analysis

Este repositorio contiene un análisis del desempeño académico de estudiantes, realizado como parte del módulo "Introducción al Data Science" en el Máster en Data Science de la Universidad Europea de Madrid.

jupyter-notebook matplotlib-pyplot numpy pandas python

Last synced: 14 Apr 2026

https://github.com/adi3042/credit-card-fault-detection

🔍💳 Secure Your Finances! Detect anomalies and safeguard transactions with our Credit Card Fault Detection system. Dive into cutting-edge classification techniques to identify fraud and protect financial data. Your journey to secure payments starts here! 🚨🔒 FraudDetectionTech

classification credit-card css datetime fault-detection flask functools html ipykernel jupyternotebooks machine-learning numpy pandas python3 readme scikit-learn setuptools venv

Last synced: 03 Apr 2026

https://github.com/theanujsinha01/seoul-bike-sharing-demand-prediction

This project predicts the demand for bike-sharing services in Seoul using machine learning algorithms. It utilizes historical data and environmental factors to provide accurate predictions that can aid in resource optimization and planning.

data-cleaning data-science exploratory-data-analysis feature-engineering jupyter-notebook machine-learning matplotlib model numpy pandas seaborn

Last synced: 10 Apr 2026

https://github.com/architj6/gesture-control-system

This Gesture Control System allows users to control various system functions (like mouse movement, volume adjustment, and screen brightness) using hand gestures through a webcam. It leverages MediaPipe for hand tracking and PyAutoGUI for controlling the system. The project enables intuitive, hands-free control for everyday tasks.

brightness-control cursor cursor-control doubleclick drag-and-drop gesture handgesture handgesture-recognition mediapipe numpy opencv os pyautogui pycaw python python3 scroll volume-control

Last synced: 17 Apr 2026

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

🧵 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/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/bharath-tars/deeptumor

DeepTumor is a project aimed at developing a deep learning model with over 1 million parameters using TensorFlow. with automatic reporting feature

keras machine-learning numpy pandas pyhton tensorflow webdevelopment

Last synced: 10 Apr 2026

https://github.com/lfgodoi/rpm-deep-estimator

A deep learning-based RPM estimator based on spectral features extracted from vibration signals of rotating machines.

condition-monitoring deep-learning docker flask neural-networks numpy python scipy signal-processing spectral-analysis

Last synced: 26 Feb 2025

https://github.com/mbarbetti/hello-snakemake

Simple implementation of snakemake to sample and plot data

hello-world matplotlib numpy python snakemake

Last synced: 14 Apr 2026

https://github.com/gaball1/alzheimer-prediction-ai

Alzheimer Prediction is a machine learning-based project designed to predict the likelihood of Alzheimer’s disease using clinical and imaging data. The project features an interactive web application built with Streamlit, enabling users to input key data, view predictions, and explore visualizations .

ai data-mining gradient-boosting jupyter-notebook logistic-regression logistic-regression-algorithm machine-learning matplotlib-python models numpy pandas python random-forest-classifier streamlit xgboost-classifier

Last synced: 11 Apr 2026

https://github.com/lorenzorottigni/ml-iris-svm

Machine Learning python bootcamp: Support Vector Machines on iris flower dataset

ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines

Last synced: 10 Apr 2026

https://github.com/roaajadaa/text-classification

Classify documents using custom naïve bayes model

matplotlib nlp nltk numpy pandas python sklearn

Last synced: 10 Apr 2026

https://github.com/als8446/tripleten-data-science-projects

Projects Overview Projects made in the Data Scientist course from TripleTen LatAm

data data-analysis hypothesis-tests machine matplotlib numpy pandas python scipy sklearn

Last synced: 10 Apr 2026

https://github.com/fanisgl/cnn_machine_learning

A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.

data-science keras machine-learning neural-networks numpy pandas pooling-layers relu softmax tensorflow2

Last synced: 24 Feb 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/fatimaafzaal/car_price_prediction

Trains Random Forest and Gradient Boosting models to predict car prices based on user inputs for various car attributes, evaluating models and making predictions using the best-performing model.

car-price-prediction ensemble-learning gradient-boosting matplotlib numpy pandas random-forest regression regression-models scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/juzershakir/predicting_boston_housing_prices

Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

bias-variance boston-housing-price-prediction data-exploration decision-tree-regression gridsearchcv k-fold machine-learning matplotlib mlfnd model-evaluation model-validation numpy pandas python3 r2-score sklearn supervised-learning udacity-nanodegree

Last synced: 22 Oct 2025

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/shreeparab1890/duplicate-question-predictor

The ipython notebook is working to build a model which will detect duplicate questions if two questions pair are given.

bag-of-words nlp nlp-machine-learning nltk numpy pandas python random-forest scikit-learn sklearn streamlit

Last synced: 10 Apr 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/screamman-ssh/video-camera-to-ascii

Convert a video file or camera captured to display as text.

ascii camera-to-text computer numpy opencv pillow python python-3 video-to-text

Last synced: 10 Apr 2026

https://github.com/sujal2004/stock-analysis-project

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

jupyter-notebook matplotlib numpy pandas python stock-market

Last synced: 10 Apr 2026

https://github.com/teslaproduuction/data_analiz_al

Прогнозирование курса алюминия с использованием модели ARIMAX

arimax csv django html-css-javascript numpy pandas python rss scipy sklearn sqlite yfinance-library

Last synced: 10 Apr 2026

https://github.com/luliatuccu/weather_analysis

This project highlights a combination of data science techniques and Python programming to explore real-world weather data.

data-preprocessing eda feature-engineering machine-learning matplotlib numpy pandas regex scikit-learn seab seaborn weather weather-patterns

Last synced: 02 Apr 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/hellymodikalpesh/numpy

This repository is designed as a comprehensive resource for learning the NumPy library. It covers nearly all functions and features of NumPy, providing a thorough exploration of its capabilities for numerical computing and data analysis.

jupyter-notebook numpy

Last synced: 28 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/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/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/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/thatguychandan/adoptimization

This project implements an ad optimization system using a hybrid approach combining Thompson Sampling and Upper Confidence Bound (UCB) algorithms. The system learns to select the most effective ads based on user context and historical performance.

numpy pandas plotly python pytorch reinforcement-learning scikit-learn streamlit thompson-sampling upper-confidence-bound

Last synced: 10 Apr 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/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/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

https://github.com/lavkalsi/creditcardfrauddetector

Credit Card Fraud Detector is a React web app that predicts if a credit card transaction is fraudulent using a Python machine learning model. Users can input transaction data, and Flask facilitates communication between the backend and frontend. Backend files are located in the res folder. This app provides simple UI for user interaction.

fraud-detection machine-learning nodejs numpy pandas python reactjs sklearn-library

Last synced: 15 Apr 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/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/ambrish8/bell-s-palsy

BELL’S PALSY SEVERITY DETECTION USING DEEP LEARNING

cnn-architecture imagedatagenerator keras numpy opencv python pytorch resnet-50

Last synced: 15 Apr 2026

https://github.com/shubhammittal-data/hr_dashboard_tableau

An interactive HR Analytics Dashboard built using Tableau. Provides insights into workforce demographics, hiring trends, salary analysis, and employee records for data-driven decision-making.

chatgpt4 data data-analysis data-visualization drawio-tools faker-generator hr-analytics hr-analytics-dashboard human-resources numpy python tableau tableau-public

Last synced: 17 May 2026

https://github.com/drsartoriuss/portfolio

Учебные проекты из Яндекс Практикума "Специалист по Data Science+"

catboost computer-vision data-science deeplearning mashinelearning matplotlib nlp-machine-learning numpy pandas scipy seaborn sklearn sql torch tsf

Last synced: 28 Jan 2026

https://github.com/yeonjaee/statistics

통계기초 with using python libs

matplotlib numpy pandas statistics

Last synced: 06 May 2026

https://github.com/jai0212/course-selector-uoft

A program that suggests university courses based on your program and provides a custom GUI to customize your course plan. Created to help UofT students

beautifulsoup csv graphs graphs-algorithms networkx-graph numpy os parser pickle pillow plotly python tkinter-gui tkmacosx

Last synced: 06 May 2026

https://github.com/zenithclown/agine

Library for finding Nearest Neighbor or to find if two points on Earth have a Direct Line of Sight.

bearing bearing-calculations distance-calculation euclidean-distance geometry haversine manhattan-distance nearest-neighbor-search numpy pandas rasterio shapely

Last synced: 28 Jan 2026

https://github.com/tomdewildt/google-foobar

Solutions for the Google Foobar problems implemented in Python

foobar google numpy pylint python

Last synced: 22 Feb 2026

https://github.com/deepankkartikey/ml-projects

A repository of projects done while learning and exploring ML

classification csv machine-learning numpy pandas regression sklearn

Last synced: 15 Apr 2026

https://github.com/jcbritobr/iris-python

Simple data analysis using iris dataset, pandas, numpy, matplotlib and seaborn.

data-science matplotlib numpy pandas python seaborn

Last synced: 06 May 2026

https://github.com/relostar-devil/census-income-prediction

An end-to-end ML project using 1994 US Census data to classify income (>50K/<50K). The Jupyter Notebook covers data preprocessing, EDA, and model evaluation with multiple classifiers.

matplotlib numpy pandas scikitlearn-machine-learning seaborn

Last synced: 10 May 2026

https://github.com/itssahilwhat/ai-fundamentals

A curated collection of fundamental AI concepts, algorithms, and code implementations — including Machine Learning, Deep Learning, and Computer Vision — built from scratch and with practical examples.

computer-vision deep-learning machine-learning numpy pandas python pytorch scikit-learn

Last synced: 15 Apr 2026

https://github.com/aleksibovellan/ai-2048-game

AI Heuristics in Python for solving the 2048 Game

2048 2048-game 2048-solver ai expectimax game heuristics numba numpy python python3

Last synced: 06 May 2026

https://github.com/ishinzoo/songrecommendation

This project is a machine learning-based system that recommends songs based on the user's detected emotions. The application uses facial expression recognition to determine the user's current emotional state and suggests songs that align with that emotion. This system can be particularly useful for personalized music streaming services, helping use

machine-learning mediapipe numpy opencv os python tenserflow

Last synced: 25 Feb 2026

https://github.com/voorhs/ml-practice

ML algorithms implementation

aimasters lomonosov-msu machine-learning numpy python

Last synced: 07 May 2026

https://github.com/thkox/uni_2023-compression-and-object-removal

This project is a team assignment for the "Multimedia Systems" course, offered in the 6th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.

2023 6th-semester colorama compression-algorithm department-of-informatics heapq lossless-compression-algorithm motion-compensation multimedia-systems numpy object-removal opencv-python pickle python scipy-stats university-of-piraeus

Last synced: 07 Feb 2026

https://github.com/bdurga26/fake-news-detection

This project aims to find whether the given news is real or fake by using Machine learning Algorithms.

ds ml numpy pandas python sklearn

Last synced: 14 Apr 2026

https://github.com/micmurawski/cloud-array

cloud-array is an open-source Python library for storing and streaming large Numpy Arrays on local file systems and major cloud proviers CDNs.

aws azure big-data bigarray blob-storage cloud data-structures digitalocean-spaces gcp gcp-cloud-storage ibm-cloud-object-storage numpy s3 stream-processing streaming zadara

Last synced: 12 Aug 2025