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/jonad/quora_w2v

In-domain word embedding using Quora dataset.

gensim-word2vec matplotlib numpy pandas python3

Last synced: 11 Apr 2026

https://github.com/sayidmushtaq/reportcard

Tracking and analyzing student grades. It calculates averages, identifies top performers, and generates performance reports with ease.πŸ‘¨πŸΌβ€πŸŽ“πŸ‘¨πŸΌβ€πŸŽ“

begginer-project numpy reporting-tool

Last synced: 27 Jan 2026

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

πŸ”πŸ’³ 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! πŸš¨πŸ”’ 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/sarincr/training-on-artificial-intelligence

Entree Academy 10 Days free training on Artificial Intelligence. Course will be conducted in a Blended learning way with Daily one hour online training and 3 hour project based training

artificial-intelligence artificial-intelligence-algorithms data-analysis data-science data-visualization decision-trees deep-learning deeplearning logistic-regression machine-learning machine-learning-algorithms machinelearning num numpy pandas regression scikit-learn scipy sklearn

Last synced: 10 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/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/chandkund/sms-spam-detection

The goal is to develop a classification model that can accurately differentiate between spam and non-spam messages. This is crucial for applications like email filtering, SMS spam detection, and improving overall user experience by reducing the influx of unwanted or malicious content.

matplotlib nlp-machine-learning numpy pandas seaborn stemming tfidf-vectorizer tokenization

Last synced: 19 Jan 2026

https://github.com/badranalyst/e-commerce-customer-analysis-data-science-foundations-case-study

This case study explores e-commerce customer data through data exploration, pre-processing, and splitting. It includes model building and training to analyze customer behavior. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used for the analysis and model development.

data-analysis data-science dataset eda exploratory-data-analysis machine-learning matplotlib ml model-building model-training numpy pandas pre-processing python seaborn

Last synced: 01 May 2026

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

Classify documents using custom naΓ―ve bayes model

matplotlib nlp nltk numpy pandas python sklearn

Last synced: 10 Apr 2026

https://github.com/jsimell/sleepanalysis

A Python data analysis project analyzing the sleep quality affecting factors and temporal patterns in the sleeping data of a single subject.

data-analysis matplotlib numpy pandas python scikit-learn seaborn

Last synced: 14 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/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/shubham-bendre/football-clip-analysis

This project uses YOLO and Roboflow datasets to analyze football matches, detecting players, referees, and the ball while tracking movements in real-time.

deep-learning matplotlib numpy roboflow-dataset yolov5

Last synced: 17 May 2026

https://github.com/ahmedabdalkreem/machine_learning_with_cv

In this project work to extraction feature from shapes to be input of machine learning model.

chaincode computer-vision contour-detection feature-extraction machine-learning matplotlib numpy open-cv pandas python sklearn svc-model

Last synced: 10 Apr 2026

https://github.com/iv4n-ga6l/crowd-move-simulation

Crowd move simulation in python

matplotlib numpy python simulation

Last synced: 28 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/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/kostadinlambov/algorithmic-trading-bot

The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).

lightgbm machine-learning matplotlib mlflow numpy optuna pandas pickle random-forest scikit-learn scipy seaborn statsmodels xgboost

Last synced: 05 Apr 2026

https://github.com/s0fft/learning-lab

Code Notes & Test-Learn // Micro Pet-Projects: Python / Asynchrony / FastAPI / Django-Tastypie / DRF / Parsing / Telegram-Bot / SQL / Docker / DS / ML / etc.

asynchrony data-science django-rest-framework docker fastapi jupyter-lab jupyter-notebook mashine-learning matplotlib notes numpy pandas parsing python3 scikit-learn seaborn sql sqlalchemy tastypie telegram-bot

Last synced: 10 Apr 2026

https://github.com/ayorick23/python-data-science-cheat-sheet

GuΓ­a rΓ‘pida y prΓ‘ctica de sintaxis, comandos y funciones esenciales de Python para Ciencia de Datos. Perfecta para recordar cΓ³mo usar las librerΓ­as mΓ‘s comunes como NumPy, Pandas, Matplotlib y Scikit-learn en tus anΓ‘lisis diarios.

cheat-sheet data-analysis data-science data-visualization deep-learning jupyter-notebook machine-learning matplotlib ml numpy pandas python scikit-learn scipy seaborn statistics sympy tensorflow

Last synced: 07 Apr 2026

https://github.com/polyee99/kaggle-titanic-data-analytics

Jupiter notebook to predict the outcome of passengers who died or not in the tragical Titanic event.

data eda jupiter-notebook matplotlib numpy pandas python regression-analysis test-train-split visualization

Last synced: 05 Feb 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/hansalemaos/cv2pencil

Converts images to pencil sketches

filter numpy opencv pencil python

Last synced: 10 Apr 2026

https://github.com/shreeparab1890/indian-elections-2019-analysis-eda

This ipython notebook is the Exploratory data analysis (EDA) of the Indian Lok Sabha Elections 2019.

data data-analysis data-science data-visualization eda exploratory-data-analysis matplotlib numpy pandas plotly python python3 visualization

Last synced: 28 Apr 2026

https://github.com/hoyirul/flask-starter-fs

Flask-Starter-FS is a concise full-stack starter kit for Flask web development, offering quick setup and pre-configured settings for seamless integration of front-end and back-end components. Accelerate your full-stack web application development with Flask-Starter-FS.

flask machine-learning numpy pandas python sklearn

Last synced: 14 Apr 2026

https://github.com/saro0307/unemployment-analysis

This data science project delves into unemployment trends, using data analysis and machine learning to identify key factors and predict future joblessness rates, aiding policymakers and businesses in informed decision-making.

data-science datavisualization machine-learning matplotlib numpy pandas python seaborn skit-learn

Last synced: 10 Apr 2026

https://github.com/ddeepanshu-997/datascience--olympics-games

in this repository i am going to perform some datascience techinques on the datasaet in order to get the valuable insights with the help of python libraries , packages etc.

data-science exploratory-data-analysis insights matplotlib-pyplot numpy pandas-dataframe problem-solving python visualization

Last synced: 28 Apr 2026

https://github.com/manalisbhavsar/stock-price-prediction

Stock Price Prediction model using Machine Learning and LSTM to forecast future stock prices based on historical data. Achieved a low error rate of 3.2% by leveraging moving averages and deep learning techniques, ensuring accurate predictions.

data-analysis deep-learning lstm machine-learning matplotlib numpy pandas python

Last synced: 28 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/hansalemaos/locate_pixelcolor_cython_multi_auto_compile

Detects colors in images 8 x faster than Numpy / Uses Cython - returns a dict

bot c color colors colour colours cpp cython fast find multiprocessing numpy numpy-array opencv rgb rgba search

Last synced: 24 Feb 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/bjpcjp/optimize-mktg-spend-with-lagrange

simple demo of marketing (2 channel) spend optimization

lagrange matplotlib matplotlib-pyplot numpy python scipy

Last synced: 01 May 2026

https://github.com/pedrosfaria2/analisetitulosnetflix

Estudo de popularidade dos filmes da Netflix no IMDB.

analise-de-dados data-analysis jupyter-notebook matplotlib numpy pandas python

Last synced: 14 Apr 2026

https://github.com/null-none/pyignite

Simple deep learning library

deep-learning machine-learning ml numpy python

Last synced: 06 May 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/khalidkhankakar/numpy-for-data-science

Exploring the full Numpy library for DS

data-science dataexploration jupyter numpy python

Last synced: 28 Apr 2026

https://github.com/redinfinitypro/drawimages

Rating: (8/10) The code uses Python's Turtle module to create a canvas image, converting it to grayscale, and then placing dots at each pixel's location based on its intensity.

numpy pil random turtle

Last synced: 28 Apr 2026

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

Este repositorio contiene un anΓ‘lisis del desempeΓ±o acadΓ©mico de estudiantes, realizado como parte del mΓ³dulo "IntroducciΓ³n al Data Science" en el MΓ‘ster en Data Science de la Universidad Europea de Madrid.

jupyter-notebook matplotlib-pyplot numpy pandas python

Last synced: 14 Apr 2026

https://github.com/teslaproduuction/data_analiz_al

ΠŸΡ€ΠΎΠ³Π½ΠΎΠ·ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ курса алюминия с использованиСм ΠΌΠΎΠ΄Π΅Π»ΠΈ ARIMAX

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

Last synced: 10 Apr 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/ljubogdan/solar-cycle-lstm

This project predicts sunspot activity using an LSTM model for time series data. Built with TensorFlow and Keras, it uses Huber loss for outlier handling and MAE for performance evaluation. The dataset, sourced from Kaggle or SIDC, spans over 270 years of monthly sunspot data.

conv1d huber-loss-regression kaggle keras lstm machine matplotlib numpy pandas scikit-learn seaborn solar sunspots tensorflow time-ser

Last synced: 13 Apr 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/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/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/karthik9273/revolutionizing-gold-rate-forecasting-for-small-businesses-with-machine-learning

The "Gold Price Prediction" project focuses on predicting the prices of gold using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Random Forest Regressor, and others, this project provides a comprehensive solution for accurate price estimation.

data-science google-colab-notebook jupyter-notebook machine-learning matplotlib numpy pandas-dataframe python seaborn sklearn

Last synced: 06 May 2026

https://github.com/josualimbu/face-recognition

Face Recognition with Name, and only need 1 image for 1 person for the dataset to run Face Recognition.

face-detection face-recognition numpy python simple-face-recognition

Last synced: 28 Apr 2026

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

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

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

Last synced: 01 May 2026

https://github.com/jhonatanthiago/projeto_analise_de_dados_com_python

A empresa contratou vocΓͺ para analisar dados de mais de 800 mil clientes, a maioria dos quais sΓ£o inativos, ou seja, jΓ‘ cancelaram o serviΓ§o. O objetivo Γ© entender os principais motivos desses cancelamentos e identificar as aΓ§Γ΅es mais eficazes para reduzir esse nΓΊmero.

jupyter-notebook nbformat numpy openxyl pandas plotly python

Last synced: 10 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/splithor1zon/edu-barriermethodlp

Education material for learning/teaching of Linear Progrmming using Barrier Method. Presentation with commentary and python code available.

barrier-method convex-optimization cvxpy educational-project linear-programming numpy presentation python

Last synced: 01 May 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/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/alansteinbarth/irysy

πŸͺ» Irysy 🌼 eksploracyjna analiza danych – wizualizacje, ML, transparentny kod i autorskie grafiki. Projekt Ε‚Δ…czΔ…cy AI, estetykΔ™ i praktyczne umiejΔ™tnoΕ›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/yeonjaee/statistics

ν†΅κ³„κΈ°μ΄ˆ with using python libs

matplotlib numpy pandas statistics

Last synced: 06 May 2026

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/sasivakulrithwik/059_iva_assignment-1

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

ipython-notebook numpy opencv python3

Last synced: 10 Apr 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/deepcloudlabs/dcl702-2021-jul-12

DCL-702: Data Analytics using Python

data-analytics numpy pandas python3

Last synced: 05 May 2026

https://github.com/sunilvarma-l/liverdiseaseprediction

"Streamlit app to predict liver disease risk using a machine learning model based on patient input data."

machine-learning matplotlib numpy pandas pickle python scikit-learn seaborn streamlit

Last synced: 13 Apr 2026

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

Easily control your system volume with simple hand gestures! This project leverages OpenCV, MediaPipe, and Pycaw to track hand movements and adjust the system volume dynamically. Say goodbye to keyboard shortcuts and volume buttonsβ€”just move your hand to set the volume!

handgesture mediapipe numpy opencv os pycaw python python3 volume-control

Last synced: 03 May 2026

https://github.com/mays-m/deeplearning

In deep learning, with the help of data and training, neural networks are created and trained, which create better predictions than before with the help of neural networks.

anaconda artificial-intelligence conda-environment matplotlib neural-networks numpy pandas python3 tensorflow tensorflow-gpu transortfow-

Last synced: 11 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/sharif-minhaz/rag-system

Ingest and vectorize content upon publication, store embedding, then retrieve and augment user queries with context to generate high-quality responses.

faiss flask mysql2 nodejs numpy rag react transformers

Last synced: 14 Apr 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/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/saivarun2611/potato_disease_classifier

This project is a Potato Disease Classifier that uses a Convolutional Neural Network (CNN) to classify potato leaves as healthy, suffering from early blight, or late blight. The model helps in early detection of diseases, which can be crucial in maintaining crop health and yield.

cnn keras matplotlib numpy pandas python3 tensorflow

Last synced: 14 Apr 2026

https://github.com/sandyherho/buku_metnum_python

Repositori ini memuat kode dan gambar yang digunakan pada buku "Pengantar Metode Numerik Terapan Menggunakan Python".

belajar-pemrograman belajar-python indonesia indonesian-language matematika-terapan matplotlib metode-numerik numerical-methods numpy python scipy

Last synced: 16 Jan 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/sun-data/ndoptimize

Numba-accelerated minimization of objective functions.

astropy minimization numba numpy optimization scientific-computing

Last synced: 27 Jan 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/babaquero07/escalamiento-imagenes-python

Proyecto del curso Algebra Lineal - UTADEO

matloptlib numpy pillow scipy streamlit

Last synced: 28 Apr 2026

https://github.com/ksprugevics/galton-board

Python implementation of the Galton board

galton-board numpy pygame pymunk python

Last synced: 29 Apr 2026

https://github.com/sc0v0ne/blueflix

Simple Application Recommend Movies and Tv Shows

csv k-means k-means-clustering kaggle movies numpy pandas python recommends-movies sklearn streamlit

Last synced: 10 Apr 2026

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

Project focused on exploring the computations behind neural networks by building one from scratch with only numpy and testing it with the MNIST dataset.

gradient-descent matrix-computations neural-networks numpy python

Last synced: 12 Apr 2026

https://github.com/jeniljani-4444/end-to-end-car-price-prediction-model

Predict car prices effortlessly using this machine learning model. Built with Python and Scikit-learn it analyzes features like mileage age brand and more to estimate accurate prices. Perfect for buyers sellers and dealerships.

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

Last synced: 10 Apr 2026

https://github.com/alonmell/modulnet

Lightweight NumPy-based neural network framework with core layers, loss functions, optimizers, and data utilities

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

Last synced: 29 Apr 2026

https://github.com/yousefmostafa125/image-processing

An interactive image processing web app built with Streamlit and OpenCV. The app allows users to upload an image, apply various processing steps, and download the results individually or as a ZIP file.

numpy opencv-python python streamlit

Last synced: 03 May 2026