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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/tomdewildt/interactive-and-explainable-ai-design

Code for The Interactive And Explainable AI Design course of my master's degree

jupyter lime numpy pandas python scikit-learn shap

Last synced: 18 Jun 2026

https://github.com/dino-kupinic/pocolocosolver

algorithmic solution with 3D visualization

algorithms numpy panda3d puzzle pytest python solver

Last synced: 19 Jun 2026

https://github.com/jayemscript/lab-to-code

A complete Python learning roadmap for scientists and researchers — covering data science, biology, chemistry, physics, and mathematics with curated libraries, tools, and resources.

bioinformatics chemistry data-science jupyter-notebook machine-learning mathematics numpy pandas physics python research roadmap scientific-computing scikit-learn

Last synced: 19 Jun 2026

https://github.com/williyam-m/sentiment_analysis

A Django-based Sentiment Analysis web app leveraging the power of the BERT transformer model to classify text sentiment accurately.

beautifulsoup bert django numpy pandas python torch transformers

Last synced: 20 Jun 2026

https://github.com/gregoritsch3/project_spring_pendulum

A solution to the chaotic equations of motion of a spring pendulum using Lagrangean mechanics integrated through symbolic and numeric Python libraries (Sympy, Numpy, Scipy, Matplotlib, etc.).

lagrangian-mechanics maptlotlib numpy python scipy spring-pendulum sympy

Last synced: 12 Apr 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/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/sasivakulrithwik/059_iva_assignment-1

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

ipython-notebook numpy opencv python3

Last synced: 10 Apr 2026

https://github.com/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/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/jhonatanthiago/projeto_analise_de_dados_com_python

A empresa contratou você para analisar dados de mais de 800 mil clientes, a maioria dos quais são inativos, ou seja, já cancelaram o serviço. O objetivo é entender os principais motivos desses cancelamentos e identificar as ações mais eficazes para reduzir esse número.

jupyter-notebook nbformat numpy openxyl pandas plotly python

Last synced: 10 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/tralahm/datascience

Getting started with Data science Numerical Analysis and Scientific Computing

hmmlearn ipynb jupyterlab keras numpy pandas python3 scipy tensorflow

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/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/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/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/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/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/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/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/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/pramodyasahan/car-safe-predictor

This repository contains a machine learning project that applies the K-Nearest Neighbors (KNN) classification algorithm to predict car safety ratings. The project uses a dataset of cars, with features such as buying price, maintenance cost, number of doors, persons, lug boot size, and safety.

classification k-nearest-neighbours machine-learning numpy pandas scikit-learn

Last synced: 10 Apr 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/psavarmattas/covid19-dashboard

The goal of this project is not to build just another dashboard for Covid 19. But, to focus on collaborative plot ideas, and a mobile friendly UI/UX.

appseed bootstrap covid covid-19 css dashboard django docker html javascript json numpy plotly python travis-ci

Last synced: 10 Apr 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/allanotieno254/pneumonia-xray-classification

This project is a Deep Learning-based Pneumonia classification system that allows medical staff to upload chest X-ray images and quickly determine whether a patient shows signs of pneumonia.

keras machine-learning numpy pandas pil pillow python streamlit streamlit-webapp

Last synced: 10 Apr 2026

https://github.com/anuppm9917/super-store-sales-analysis-power-bi-project

My drive to know which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement.

data data-analysis data-visualization datacleansing excel exploratory-data-analysis jupyter-notebook numpy pandas plotly powerbi python3

Last synced: 10 Apr 2026

https://github.com/rokmark0/auto-feature-engineering

🐙 Automated feature engineering toolkit that creates, selects, and transforms features for machine learning on tabular data, boosting model accuracy and speeding workflows.

auto-feature-engineering automl aws-ec2 dask data-science explainable-ml feature-engineering featuretools machine-learning mahinelearning numpy pandas pandas-library python r sagemaker supervised-learning unsupervised-learning

Last synced: 10 Apr 2026

https://github.com/ai-lenok/moex-analyzer

A simple engine for analyzing Moscow Exchange securities

docker matplotlib numpy pandas python3

Last synced: 09 May 2026

https://github.com/nihalrt/lung-cancer-data-analysis-

This is a data analysis report, created with python pandas, numpy, matplotlib, and seaborn. Provides valuable insights into the symptoms of lung cancer from a survey set.

matplotlib numpy pandas python seaborn

Last synced: 26 Jan 2026

https://github.com/rooneyrulz/cat-dog-classifier

Building a model using a convolutional neural network that well-classifying custom cat vs dog image data. including visualizations, data-preprocessing, future predictions, model-evaluation, identifying overfitting, and more.

artificial-intelligence convolutional-neural-networks data-preprocessing data-visualizations deep-learning keras matplotlib numpy pandas predictive-modeling python3 seaborn tensorflow2

Last synced: 10 Apr 2026

https://github.com/rlxchap2/crypto-miner

🔨Crypto Miner is a Python project designed to encrypt and decrypt files, especially images, using the powerful cryptography library

crypto cryptography csv numpy pillow python

Last synced: 08 May 2026

https://github.com/dineshdhamodharan24/amazon-reviews-sentiment-analysis

This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.

matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/smirnovlad/data-science-notebooks

A collection of various data analysis approaches

data-science deep-learning kaggle machine-learning numpy pandas pytorch

Last synced: 10 Apr 2026

https://github.com/ameykasbe/credit-card-fraud-detection-on-imbalanced-dataset

Examined data preprocessing techniques and performance of six different predictive models in Python to credit card fraud detection problem on an imbalanced dataset. Algorithms implemented - Logistic Regression, K Nearest Neighbours, Support Vector Classification, Naïve Bayes Classifier, Decision Tree Classifier, and Random Forest Classifier.

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

Last synced: 10 Apr 2026

https://github.com/anshpg/linearluminary

Greetings! I've developed a straightforward linear regression model from scratch to predict house prices in Bangalore. But before delving into coding, let me walk you through the algorithm's conceptualization. I considered various factors such as location, ocean proximity, plot size, finished state, and flat type.

algo linea mathematics matplotlib numpy pandas pyth

Last synced: 13 May 2026

https://github.com/munawar-code/car_price_predictor

This project is a ML-based car price prediction system. The model is built using Jupyter Notebook for training and evaluation, while a simple one-page website was developed using Pycharm to provide interface for users to input car details and get price predictions.

datapreprocessing datavisualization exploratory-data-analysis feature-engineering flask-application html-css-javascript linear-regression machine-learning-algorithms matplotlib numpy pandas python scikitlearn-machine-learning

Last synced: 13 Apr 2026

https://github.com/khaymanii/spam_mail_detection_model

This model was built using Python and Logistics Regression algorithm

matplotlib numpy pandas python sckiit-learn

Last synced: 10 Apr 2026

https://github.com/anubhavkumar31/simple-heart_disease_prediction-using-logisticregression

Its a simple yet good model which predicts if a person have heart disease or not. This is a binary classification model i.e its output is either 0(dont have heart disease) or 1 (have heart disease).

logistic-regression machine-learning numpy python sklearn sklearn-linear-model sklearn-metrics

Last synced: 10 Apr 2026

https://github.com/semihbugrasezer/rockvsmine

Rock vs Mine Prediction with Python | Machine Learning Project

numpy pandas python

Last synced: 05 May 2026

https://github.com/niteshchawla/logistics-nn-regression

The case study is about India's Largest Marketplace for Intra-City Logistics. This dataset has the required data to train a regression model that will do the delivery time estimation, based on all those features.

adam-optimizer data-visualization encoding exploratory-data-analysis feature-engineering hidden-layers hyperparameter-tuning keras-tensorflow kerastuner metrics neural-network numpy pandas regression relu scaling sequential-models

Last synced: 10 Apr 2026

https://github.com/elon-fask/nlp_num1

Natural Language Processing with Disaster Tweets

ai machine-learning nlp nlp-machine-learning numpy pandas python text-processing

Last synced: 10 Apr 2026

https://github.com/ahmedabdalkreem/connected_component_labeling

Technique used to detect small object in the image like shapes and number can used this technique in OCR.

computer-vision connected-components matplotlib numpy object-detection python rgb2gray threshold

Last synced: 11 Apr 2026

https://github.com/ahmedabdalkreem/speech-recognition

In this project we deal with audio dataset to make classification between ten audio and make preprocssing in it using Librosa and Scipy then be input of Neural Network Model.

librosa matplotlib neural-network numpy pandas python3 scipy sklearn tensorflow

Last synced: 11 Apr 2026

https://github.com/fedesgh/parkinson_volatility_spread_on_cedears

Creating a function that returns a graph with the difference between Parkinson's volatility and regular volatility given a certain bounds

numpy pandas pickle seaborn

Last synced: 10 Apr 2026

https://github.com/tsungtsetu122/datamining-cifar10-classification

Data mining project on CIFAR-10 extracted features, applying preprocessing, classification models, and evaluation techniques to improve classification performance.

matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/omarsaad21/rfm-clustering-

A full Data science and deployment project focusing on Data analysis and ML ( create a customer segmentation model to recommend the best merchants for each user as targetted offers)

business-solutions data-science eda numpy pandas plotly python sickit-learn streamlit

Last synced: 11 Apr 2026

https://github.com/soumyapro/wine-quality-prediction

This project is about the prediction of wine quality using machine learning algorithms

boxplot matplotlib numpy pandas random-forest smote

Last synced: 10 Apr 2026

https://github.com/mnitin-reddy/collaborative-filtering-based-recommendation-system

This project is a Book Recommendation System that uses two main approaches: Popularity-Based and Collaborative Filtering. It recommends top books based on their rating frequency and average ratings, and also provides personalized book suggestions by analyzing user interactions.

collaborative-filtering numpy pandas popularity-based-recommendation python recommendation-system scikit-learn

Last synced: 11 Apr 2026

https://github.com/yash-rewalia/airbnb_eda_pandas

The goal of the project is to gather information and analyze the detailed information of the different entries in order to provide insights about the host and price of the property in a particular area as per your preference , type of rooms and number of reviews accordingly.

data data-cleaning data-insights data-preprocessing data-visualization matplotlib numpy pandas python seaborn

Last synced: 11 Apr 2026

https://github.com/germanocastanho/python-notes

Personal collection of Python Notes, tips, and code snippets 🐍

data-science numpy pandas programming python

Last synced: 01 Sep 2025

https://github.com/shivam5509/power-bi-project

Expert in creating interactive dashboards and reports using Power BI, utilizing 10+ visual tools like cards, slicers, and charts. Skilled in cleaning and transforming large datasets with Power Query Editor. Proficient in advanced DAX functions (SUMX, FILTER, CALCULATE) to derive insights and drive data-driven decisions.

advanced-excel computer-science data-analysis data-mining data-visualization engineering mysql numpy pandas powerbi pyhton3 sql sql-server

Last synced: 11 Apr 2026

https://github.com/pardhuu66/college-id-validator

FastAPI-based offline College ID Validator with Docker support

base64 dnn docker easyocr fastapi mobilenetv2 numpy onnx onnxruntime opencv pillow pydantic python tensorflow uvicorn

Last synced: 11 Apr 2026

https://github.com/armahdavi/qff-evalation_code-data-processing-statistics-plotting

Data pipelines and processing codes, statistical modellings, descriptive statistics, and plot visualizations for QFF evaluation phase of for Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021 Full-length article: https://www.sciencedirect.com/science/article/abs/pii/S0269749120370779

data-science data-visualization histogram matplotlib matplotlib-pyplot numpy pandas python

Last synced: 11 Apr 2026

https://github.com/zuhairzia/titanic-survival-project

This is a Titanic Survival Prediction Model developed using Python, Pandas, Scikit-learn, and Jupyter Notebook. The model predicts whether a passenger survived the Titanic disaster based on features such as age, gender, and passenger class.

csv-dataset flask jupyter-notebook matplotlib numpy pandas pandas-library python scikit-learn seaborn streamlit

Last synced: 11 Apr 2026

https://github.com/djdhairya/crop-recommendation

Crop Recommendation System is a powerful tool for enhancing agricultural decision-making. By leveraging data-driven insights, it empowers farmers to maximize yield and ensure sustainable practices.

adaboostclassifier bagging-classifier csv decision-trees gaussian html knn-classification logistic-regression machine-learning machine-learning-algorithms matplotlib model numpy pandas random-forest random-forest-classifier scikit-learn seaborn svc

Last synced: 11 Apr 2026

https://github.com/jigyasag18/fake-news-prediction-app

The Fake News Prediction App Repository offers a machine learning project that focuses on identifying the authenticity of news articles as fake or real. It uses a dataset of 20,000 articles and employs methods such as TF-IDF vectorization and the Lemmatization algorithm, achieving ~95% classification accuracy with random forest classifier model

data datapreprocessing logistic-regression machine-learning machine-learning-algorithms numpy pandas prediction stemming streamlit streamlit-webapp vectorization

Last synced: 11 Apr 2026

https://github.com/armahdavi/analytics-data-pipelines-statistics-plotting---dust-extraction-hvac-filters---phase-1

PhD Technical Paper 1 - Phase 1 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available

matplotlib numpy pandas pandas-dataframe pyplot python scipy-stats sklearn

Last synced: 13 Apr 2026

https://github.com/kirtipratihar/python_libraries_for_ds

This repository serves as a comprehensive guide to Python programming for Data Science. It covers essential topics like data manipulation, data visualization, machine learning, and statistical analysis using popular libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.

artificial-intelligence machine-learning numpy pandas python scikit-learn tensorflow

Last synced: 11 Apr 2026

https://github.com/mehradi-github/ref-jupyter-2510

using python in machine learning

matplotlib numpy pandas python sklearn statistics

Last synced: 11 Apr 2026

https://github.com/timothyjan/intro-machine-learning-classifiers

We will use the scikit-learn library, which is a higher-level machine learning library that will work with NumPy data, and Pandas, a library that makes it easier to manipulate data. We will explore a variety of classification algorithms, and compare their performance on a “real-world” dataset, which will introduce its own set of challenges.

numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/vidushibhadana/eda-on-nyc-taxi-data

About Conducting an Exploratory Data Analysis (EDA) on New York City taxi data and visualizing it through countplots, distribution plots (displot), and histograms using Python and it's libraries.

data data-visualization jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 11 Apr 2026

https://github.com/ttwag/p2_gaussian_elimination

A function that encodes the Gaussian Elimination algorithm

algorithm linear-algebra numpy python

Last synced: 29 Apr 2026

https://github.com/iamsaniasingh/heart_disease_prediction

This is my very first machine learning project, where I used a supervised learning algorithm—logistic regression—to predict heart disease. The model was trained and tested entirely on a pre-existing dataset, with no user input involved. The goal was to understand how ML models work and how they can be applied in healthcare predictions.

logistic-regression machine-learning machine-learning-algorithms numpy pandas python sklearn

Last synced: 11 Apr 2026

https://github.com/riju18/from-data-production-to-client-handover

The common tedious problem is to build a data app to demonstrate the data analysis & analytics along with Machine Learning to a client. It was an attempt to do it on small scale in the most powerful & simplest way.

machine-learning matplotlib numpy pandas plotly python seaborn streamlit

Last synced: 30 Apr 2026

https://github.com/lmizner/grokking_data_science

Coding practice for basic data science interview questions in Python

data-science numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure

A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.

eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn

Last synced: 11 Apr 2026

https://github.com/gregoritsch3/ml_eda_clustering_aidassessment

An EDA and Machine Learning Clustering exercise on the Country Aid Assessment dataset demonstrating the use of PCA, KMeans and DBSCAN clustering, Elbow Methods, etc. The clustering algorithm successfully demarcates countries that are in most dire need of aid based on their GDPP and Child Mortality rate.

anova dbscan kmeans machine-learning matplotlib numpy pandas pca scikit-learn seaborn statistics

Last synced: 16 Apr 2026

https://github.com/felinjob/ibm-applied-data-science-capstone

Este projeto, parte da especialização IBM Data Science Professional Certificate, prevê o sucesso do pouso do Falcon 9 da SpaceX. Usando dados da API da SpaceX e Web Scraping, o projeto inclui análise de dados e Machine Learning para gerar insights sobre os lançamentos.

data-analysis data-science data-visualization ibm jupyter-notebook machine-learning numpy pandas python scikit-learn seaborn sql

Last synced: 11 Apr 2026

https://github.com/vishnu-vamshii/heart-disease-prediction-using-ml

This project presents an end-to-end data analysis and machine learning pipeline for predicting heart disease using a publicly available dataset. The project includes data exploration, visualization, and implementation of various machine learning models to predict the likelihood of heart disease based on a set of clinical attributes.

machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 11 Apr 2026

https://github.com/eljandoubi/genre_classification

Create an ML pipeline for Genre Classification using MLflow.

hydra machine-learning mlflow numpy pandas pandas-profiling pytest scikit-learn scipy wandb

Last synced: 11 Apr 2026

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