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/anish202020/data-analysis-and-machine-learning-basic-programs

Basic programs on data analysis and machine learning for students. It includes a variety of tutorials, examples, and models to help students understand and apply these concepts.

keras matplotlib numpy pandas python sklearn tensorflow

Last synced: 08 Apr 2026

https://github.com/sourabh-kumar04/numpy-basic

Numpy-Basic is a structured learning repo covering NumPy from basics to advanced. It includes arrays, indexing, reshaping, filtering, vector ops, angle functions, stats, and .npy file handling. Each concept is explained with code, examples, and Matplotlib visualizations in both light and dark modes. Ideal for students and data learners.

data-analysis data-science data-visualization learning learning-resources machine-learning matplotlib numerical-computing numpy python python-library python-programming

Last synced: 10 May 2026

https://github.com/udityamerit/curafind-powered-by-ai

CuraFind AI is a web-based application leveraging Natural Language Processing (NLP) to intelligently recommend medicines. Users can search using symptoms, medicine names, or free-text descriptions, and receive suggestions along with brand substitutes for drugs

ai machine-learning nlp numpy pandas scikit-learn

Last synced: 18 Sep 2025

https://github.com/tasninanika/heart-disease-analysis

The Heart Disease Analysis project is a comprehensive machine learning study aimed at predicting the presence of heart disease using the Heart Disease UCI Dataset.

knn logistic-regression matplotlib numpy pandas python3 random-forest scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/santiagoenriquega/custom_ensemble_learning

This repository focuses on building a random forest classifier and regressor as well as a gradient boosted regressor, building them from scratch using only NumPy for faster array processing.

numpy python python3 random-forest random-forest-classifier random-forest-regressor

Last synced: 15 May 2026

https://github.com/ab23ms233/matrix-calculator

A Python-based matrix calculator for performing operations like addition, multiplication, inverse, determinant, eigenvalues, diagonalization, and matrix functions using NumPy, SymPy, and SciPy.

linear-algebra numpy scipy

Last synced: 11 Aug 2025

https://github.com/quantum-software-development/qiskit

qiskit circuits on IBM Quantum

numpy qbits-circuits quiskit

Last synced: 30 Jul 2025

https://github.com/sarah-ribeiro/curso-pandas-alura

A comprehensive project comprising numerous exercises developed within an Alura course focused on Pandas.

jupyter-notebook matplotlib numpy pandas python

Last synced: 01 Aug 2025

https://github.com/athul64/exploratory-data-analysis

To preprocess and analyze the given employee dataset, present the findings graphically, and derive meaningful insights to help better understand the company’s workforce.

colab-notebook data-analysis data-visualization matplotlib numpy pandas python seaborn statistical-analysis

Last synced: 25 Feb 2026

https://github.com/kientech/calories-burnt-prediction-with-machine-learning

The Calories Burnt Prediction with Machine Learning project aims to predict the number of calories burned during physical activities based on various factors such as duration, activity type, age, weight, and more.

fastapi heroku machine-learning matplotlib-pyplot modeling numpy pandas python reactjs tailwindcss

Last synced: 02 Aug 2025

https://github.com/nelsontanko/face-recogition-system

This is a student face recognition system for attendance taking. Built with Opencv, face_recognition, redis and Flask for the frontend

face-recognition flask numpy opencv python redis

Last synced: 09 Apr 2026

https://github.com/shriram-vibhute/data-analysis

This repository offers a comprehensive collection of data analysis techniques using NumPy Pandas, Matplotlib and Seaborn.

data-aggregation data-analysis data-visualization data-wrangling matplotlib numpy pandas seaborn

Last synced: 02 Aug 2025

https://github.com/docsallover/spam-detection

Building a Spam Filter with Python: Using Machine Learning to Combat Spam

datascience flask jinja2 machine-learning numpy numpy-library pandas pandas-python python python3 scikit-learn

Last synced: 09 Apr 2026

https://github.com/theanujsinha01/customer-segmentation-using-k-means-clustering

This project focuses on customer segmentation using the K-Means clustering algorithm. A user-friendly Streamlit dashboard allows users to upload their own dataset, choose any two numeric features (like age, income, or spending score), and perform clustering. The app dynamically visualizes customer groups, recommends the best number of clusters

jupyter-notebook k-means-clustering machine-learning matplotlib numpy pandas python seaborn streamlit unsupervised-learning

Last synced: 09 Apr 2026

https://github.com/paulo-santos-ds/rotatividade_de_clientes

A operadora de comunicações InternetGO está interessada em prever a rotatividade de seus clientes (churn). Se for identificado que um usuário está planejando trocar de operadora, a empresa poderá oferecer códigos promocionais e opções de planos especiais para evitar a perda desse cliente.

catboost numpy pandas pyplot python seaborn sklearn

Last synced: 09 Apr 2026

https://github.com/datarohit/nfl-big-data-bowl-2022--analysis

This is a Jupyter Notebook containing the analysis performed on a Kaggle Competition Dataset which contains data about NFL players and games.

kaggle kaggle-competition matplotlib-pyplot numpy pandas plotly python seaborn

Last synced: 09 Apr 2026

https://github.com/mariamabidi/pinn-based-flow-prediction

This repository contains code and experiments for predicting 3D aerodynamic flow around car geometries using Physics-Informed Neural Networks (PINNs) and for analyzing flow features via autoencoder-based clustering.

computer-vision machine-learning neural-network numpy pytorch pyvista scikit-learn

Last synced: 05 Aug 2025

https://github.com/malwarebo/carcinet

Basic breast cancer detection using Machine Learning

deep-learning keras machine-learning matplotlib numpy python3 scipy tensorflow

Last synced: 09 Apr 2026

https://github.com/rickymagner/nonlinear-gradient-descent

An example of using gradient descent to approximate noisy data sampled from a cubic curve.

matlab matplotlib numpy octave pandas python

Last synced: 09 Apr 2026

https://github.com/aymen016/film-recommendation-engine

A machine learning-powered movie recommender system designed to provide personalized recommendations based on user preferences and data analysis. This project includes a backend recommendation engine, a Streamlit-based interface, and a web-based frontend for an enhanced user experience.

flask numpy pandas pickle python scikit-learn streamlit

Last synced: 09 Apr 2026

https://github.com/vedanty3/heart-disease-prediction

This project aims to build a machine learning model using K-Nearest Neighbor, LogisticRegression, RandomForestClassifier to classify whether or not a person has heart disease based upon his medical attributes. (accuracy achieved : 88.52%)

confusion-matrix correlation-matrices jupyter-notebook knn-classification logistic-regression machine-learning matplotlib numpy pandas python random-forest randomforestclassifier roccurve scikit-learn sklearn zerotomastery

Last synced: 09 Apr 2026

https://github.com/ZauJulio/FeaturesAnalyzer

Python data analyze and machine learning tool

gtk machine-learning numpy pandas python sklearn

Last synced: 10 Aug 2025

https://github.com/amanpatel-1234/automatic_data_analyzer_app

📊 Automatic Data Analyzer is a Streamlit web app that performs complete data analysis with just a single file upload. Simply upload your CSV file, and the app automatically generates: Data Overview: Preview, summary statistics, and data types. Visual Analysis: Histograms, distribution plots, and interactive charts for numeric columns.

app data-science data-visualization matplotlib-pyplot numpy pandas python3 seaborn seaborn-plots streamlit

Last synced: 09 Apr 2026

https://github.com/c0sogi/python-dcm

A high-performance Python package for handling ETAS DCM(Data Conversion Format) files used in engine calibration tools like INCA, MDA, EHANDBOOK, and CANape.

automotive dcm ecu-calibration etas inca numpy pandas python

Last synced: 12 Aug 2025

https://github.com/zazi2002/neuroscience-project-cnn

This project is part of the Neuroscience of Learning, Memory, Cognition course and focuses on the visual processing pathways in the brain, particularly the dorsal and ventral streams.

cnn-for-visual-recognition learning matplotlib numpy scipy visual-processing

Last synced: 09 May 2026

https://github.com/mhmudfzli/exploring-mental-health-data

This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance

catboost lightgbm matplotlib numpy pandas scikit-learn seaborn xgboost

Last synced: 09 Apr 2026

https://github.com/mrtarantoga/mdl-density-histogram

Cython-accelerated MDL histogram density estimation. Implements Kontkanen & Myllymaki's dynamic programming algorithm for optimal variable-width bins, parametric complexity with Ramanujan approximations, and automatic bin count selection. Based on "MDL Histogram Density Estimation" (JMLR 2007).

cython-library mdl numpy pypi-package python3

Last synced: 30 Nov 2025

https://github.com/jswong65/machine_learning_nanodegree

Projects of Udacity Machine Learning nanodegree

machine-learning numpy pandas python scikit-learn scipy

Last synced: 09 Apr 2026

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/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/haidermalikk/neural-network-circuit-optimizer

The Neural Network Circuit Optimizer, built on my custom digital circuit simulator, uses AI and machine learning to optimize simple digital circuits. It leverages neural networks, circuit simulation, and optimization algorithms to reduce component count which improves: power usage, and execution time and efficiency. *Under Dev see Readme*

ai jupyter-notebook matplotlib ml numpy pandas python pytorch sqlalchemy tensorflow

Last synced: 10 Apr 2026

https://github.com/zensam7/easy_my_ai

Библиотека для создания ИИ, написана ПОЛНОСТЬЮ с нуля

genetic-algorithm library machine-learning neural-networks numpy q-learning

Last synced: 14 Feb 2026

https://github.com/mohamed3nan/udacity

Udacity Data Analysis Nanodegree Program

data-analysis data-visualization numpy pandas python

Last synced: 10 Apr 2026

https://github.com/mousazourob/stockdataresampler

Python script that resamples an instruments minute by minute candle stick data to any interval

alpha-vantage-api numpy pandas python

Last synced: 07 May 2026

https://github.com/fayzi-dev/machin_learning

Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering, XGBoost,DBscan,KMeans)

algorithms artificial-neural-networks logistic-regression machine-learning matplotlib matplotlib-pyplot naive-bayes-classifier numpy pandas python python3 seaborn seaborn-plots sklearn sklearn-knn sklearn-library sklearn-linear-model sklearn-linear-regression sklearn-metrics sklearn-svm

Last synced: 09 Apr 2025

https://github.com/nikita620/phishing-website-detection-by-machine-learning-techniques

Phishing is one of the familiar attacks that trick users to access malicious content and gain their information. In terms of website interface and uniform resource locator (URL), most phishing webpages look identical to the actual webpages. Various strategies for detecting phishing websites, such as blacklist, heuristic, Etc.

bagging boosting decision-trees numpy pandas python random-forest sckiit-learn sql

Last synced: 10 Apr 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/cusyio/datenverarbeitung-mit-numpy

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

numpy

Last synced: 08 Jun 2026

https://github.com/surtecha/multi-physics-simulation-engine

A real world physics simulation application built with python

jax numpy physics pygame python scipy simulation

Last synced: 14 Apr 2025

https://github.com/thamirisq/data_analysis_culinary_journey

Project to analyze key information from Culinary Jorney, a marketplace Company, and develop an initial strategy to lead the entire team effectively.

folium-maps groupby-method jupyter-notebook markercluster marketplace-ds matplotlib-pyplot numpy pandas pandas-dataframe streamlit

Last synced: 10 Apr 2026

https://github.com/williyam-m/movie-recommendation-system

Developed a web app with a cosine similarity machine learning model for personalized recommendations based on user history, likes, bookmarks, and activity. Implemented user auth and CRUD operations for movies.

django machine-learning numpy pandas prediction-model python scikit-learn

Last synced: 10 Apr 2026

https://github.com/mgobeaalcoba/survival_predictor_on_the_titanic_scikit_learn

Titanic Survival Predictor using Scikit-Learn: Machine learning model and analysis to predict passenger survival on the Titanic based on historical data.

matplotlib numpy pandas python3 scikit-learn seaborn titanic-dataset titanic-kaggle titanic-survival-prediction

Last synced: 10 Apr 2026

https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing

Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts

colab-notebook data-visualization eda exploratory-data-analysis hypothesis-testing jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-library scipy-stats seaborn skit-learn

Last synced: 12 Apr 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/nirmalyabag20/diabetes-prediction-using-machine-learning

This project focuses on predicting diabetes using machine learning algorithms based on health metrics like glucose levels, blood pressure, and BMI. By comparing different models, the goal is to identify the most accurate approach for early diabetes detection, showcasing the potential of machine learning in healthcare.

decision-tree-classifier jupyter-notebook kneighborsclassifier logistic-regression matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn svc

Last synced: 18 Jan 2026

https://github.com/achalesh27022003/python-assignments-iwt

This repository is objected to have all the assignments and project related to IWT (Semester - 3).

cosinewave frame grid image imagetk labels matplotlib-pyplot numpy numpy-arrays numpy-library photoimage pil python3 sinewave spyder tkinter tkinter-gui window

Last synced: 10 Apr 2026

https://github.com/nemeslaszlo/sale-price-of-bulldozers

The goal of predicting the sale price of bulldozers. How well can we predict the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for? (Archive kaggle competition)

matplotlib numpy pandas random-forest-regressor regression scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/bhavyemathur/redstone-ml

High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust

autograd-engine linear-algebra machine-learning numpy pytorch tensor

Last synced: 17 Apr 2026

https://github.com/walkerdustin/vergleich-von-messmethoden-fuer-punktwolken

Bei der Vermessung eines physischen Raumes ist das Ergebnis eine Punktwolke. Diese Punktwolke beschreibt dann ausgewählte Punkte im Raum, zum Beispiel auf den Wänden und der Decke. Wenn diese Punkte in zwei seperaten Messungen gemessen werden, vielleicht sogar von unterschiedlichen Geräten, soll hinterher herausgefunden werden wie genau diese Punktwolken übereinstimmen. Dafür gibt es zwei grundsätzlich verschiedene Methoden. Diese sollen hier verglichen werden.

3d-models accuracy-metrics data-analysis data-visualization kaggle measure-distance numpy point-cloud pointcloudprocessing punkte python science-research simulation statistics

Last synced: 11 Apr 2026

https://github.com/yessasvini23/deepfake_immunization_toolkit

🛡️ AI-powered toolkit to detect deepfakes, educate users, and verify content authenticity using federated learning and blockchain. Built for election security, media integrity, and digital literacy.

blockchain matplotlib numpy opencv python pytorch scikit-learn

Last synced: 11 Apr 2026

https://github.com/raju-2003/indiaai-cyberguard-ai-hackathon

An NLP-powered system to simplify cybercrime reporting by analyzing descriptions, categorizing incidents, and providing actionable insights.

matplotlib nltk numpy pandas python random-forest-classifier re scikit-learn seaborn shap spacy wordcloud

Last synced: 11 Apr 2026

https://github.com/amishmathur1/resumeats

✨ With Resume ATS Analyzer, users can improve their resume quality, boost ATS compatibility, and increase their chances of landing interviews — all with smart AI assistance.

express-python matplotlib-python nltk nltk-python numpy openai-api pandas plotly plotly-dash plotly-express pypdf2 python streamlit wordcloud

Last synced: 11 Apr 2026

https://github.com/kishore-sr/creditworthy

AI-powered web app built at "Codeathon 2024" IIIT Bangalore

clerk-auth node-js numpy pandas python reactjs streamlit

Last synced: 11 Apr 2026

https://github.com/cploutarchou/covid-19-tracker-django-app

COVID-19 Tracker Dashboard for Cyprus.

django numpy pandas plotly redis

Last synced: 11 Apr 2026

https://github.com/smolodtsova13/website

Веб-сайт для стоматологии

bootstrap django numpy pandas python

Last synced: 11 Apr 2026

https://github.com/sizzlins/kalkulator-ai

A Simple Command Line Input Symbolic Regression Engine and Computer Algebra System (CAS) capable of discovering the laws of the universe, solving calculus, algebra, and trigonometrics.

calculator calculus cli computer-algebra-system curve-fitting machine-learning mathematics numpy physics python scientific-computing scikit-learn sparse-regression symbolic-regression sympy

Last synced: 13 Jan 2026

https://github.com/tasninanika/callifornia-housing-price-prediction-svr

Support Vector Regression (SVR) is a type of Support Vector Machine used for predicting continuous values.

matplotlib numpy pandas python3 scikit-learn seaborn svm-regression

Last synced: 11 Apr 2026

https://github.com/ryannapp12/quant_trading_engine

A modular, and scalable quantitative trading engine built in Python. This project demonstrates efficient data caching with SQLite, concurrent backtesting, and advanced risk analytics, showcasing best practices in clean code architecture and performance optimization.

algorithmic-trading backtesting dash data-analysis data-visualization fintech lstm machine-learning numpy pandas plotly python quantitative-finance real-time risk-management sqlite technical-analysis tensorflow time-series-analysis trading-strategies

Last synced: 11 Apr 2026

https://github.com/dagdelenbunyamin/barcode-scanner-flb

Ein interaktives Barcode-Scanner-Tool zur Verwaltung von Schülerabmeldungen. Mit Webcam-Unterstützung, automatischer Zeiterfassung und PDF-Export für Lehrkräfte – entwickelt mit Streamlit, OpenCV und SQLite.

fpdf numpy opencv pandas python pyzbar streamlit

Last synced: 11 Apr 2026

https://github.com/shanmukhsrisaivedullapalli/automatic-ticket-classification

This project processes customer complaint data using pandas for data manipulation and applies text preprocessing techniques, including lemmatization, to clean and normalize complaint text. The `tqdm` library provides progress bars for efficient tracking of text processing tasks.

matplotlib neural-networks nlp numpy pandas python3 scikit-learn seaborn tensorflow tqdm wordcloud

Last synced: 11 Apr 2026

https://github.com/mihirh19/python

a repository for collaborative development and version control using Git that houses Python code files, documentation, tests, and other project-related files.

algorithms data-structures django fastapi flask machine-learning numpy pandas python

Last synced: 11 Apr 2026

https://github.com/nvinayvarma189/deep-learning-with-tensorflow

This repo consists all the basics of tensorflow and all major Deep Learning algorithms and techniques implemented in tensorflow. It will explain you the basics of tensorflow. You can visualize how tensors flow through a grapg while you create one

autoencoder cnn deep-learning gan matplotlib neural-network numpy pandas python3 reinforcement-learning rnn tensorflow

Last synced: 11 Apr 2026

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

An interactive and insightful customer segmentation project using K-Means Clustering.

matplotlib numpy pandas plotly python3 scikit-learn seaborn

Last synced: 11 Apr 2026