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/nathanielsimard/numpy-mnist-classifier

Feed forward neural network using Numpy for MNIST classification.

deep-learning machine-learning mnist mnist-classification mnist-classifier numpy

Last synced: 29 Apr 2026

https://github.com/sun-data/named-arrays

Python library that implements named tensors with Astropy Quantity support.

astropy named-arrays named-tensor numpy python scientific-computing

Last synced: 28 Oct 2025

https://github.com/abdul-rafay19/cnnect-classifier

A real-time image classification app built with PyTorch and deployed using Streamlit. CNNect-Classifier uses a custom-trained CNN on the CIFAR-10 dataset to predict image classes with confidence scores. Designed to demonstrate end-to-end deep learning deployment — from training to user-facing web app.

ai artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks cifar-10 cifar10 cnn cnn-classification cnn-model cnnect deep-learning machine-learning neural-network neural-networks numpy python pytorch pytorch-cnn streamlit streamlit-webapp

Last synced: 11 Apr 2026

https://github.com/mardavsj/weather-prediction

Weather prediction model which mainly focuses on visualization.

data-analysis data-visualization matplotlib numpy pandas pandas-dataframe

Last synced: 10 Apr 2026

https://github.com/stephenhky/npdict

Python Package for Dictionary Wrappers for Numpy Arrays

dict numpy

Last synced: 20 Jan 2026

https://github.com/emperoryp7/covid-simulator

Application simulating the spread of COVID-19

covid-19 numpy pandemic-simulator python3 simulator

Last synced: 18 May 2026

https://github.com/szilagyipeter99/imageprocessing

This repository contains the examples discussed in the Image processing practices.

classification image-processing machine-learning matplotlib numpy pillow python segmentation

Last synced: 18 May 2026

https://github.com/steventete/integral-app

IntegralApp is a Python-based GUI application designed to simplify the calculation of definite integrals using numerical methods.

desktop-app numerical-methods numpy pyqt5 python

Last synced: 18 May 2026

https://github.com/eljandoubi/landmark-classification-tagging-for-social-media

a CNN-powered app to automatically predict the location of the image based on any landmarks depicted in the image.

cnn-classification numpy pytest pytorch transfer-learning

Last synced: 07 May 2026

https://github.com/vidhi1290/essay-quality-prediction-keystroke-analysis-with-randomforest

Explore the Essay Quality Prediction project—a machine learning model that predicts essay quality based on typing behaviors. Leveraging a Random Forest Regressor, this tool provides insights into writing processes. Connect with me on LinkedIn and find more projects on GitHub. Happy coding! 📝✨

essay-quality-prediction kaggle-competition machine-learning mean-square-error nlp-machine-learning numpy pandas random-forest random-forest-regressor scikitlearn-machine-learning seaborn sklearn

Last synced: 03 May 2026

https://github.com/cypher-adi/loan-predictor

A loan approval prediction system.

flask ipynb-jupyter-notebook machine-learning numpy

Last synced: 05 Mar 2026

https://github.com/msthamizh/singapore-resale-flat-prices-predicting

Developing a Streamlit application that allows users to interactively predict the resale prices of flats in Singapore using machine learning. The application supports regression tasks, enabling users to input various features, such as location, flat type, floor area, and lease start date, and receive predictions for resale prices.

exploratory-data-analysis machine-learning matplotlib numpy pandas python seaborn streamlit

Last synced: 09 Apr 2026

https://github.com/gavineshwar/assignment_plagarism_checker

Assignment Plagiarism Checker

fitz flask html-css numpy python

Last synced: 02 Feb 2026

https://github.com/priyanshubiswas-tech/customer-churn-analysis-eda-

This project analyzes customer churn in a telecom company using Python, Pandas, SQL, and data visualization. It identifies key factors like contract type, payment method, and tenure to provide insights for improving retention. The skills gained are applicable in customer retention, user behavior analysis, fraud detection, and HR analytics.

data-analysis data-visualization dataset explo exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas-dataframe python seaborn seaborn-python

Last synced: 08 May 2026

https://github.com/yanboishere/Trade.with-SuperTrend.parameter

OKX API to confirm the process of appearance and disappearance of upper or lower limit lines for the super trend parameters in crypto trading pairs in TraderView, and perform multiple buying and selling transactions based on this parameter index.|对于crypto交易对中 TraderView中的超级趋势参数 出现以及消失上限线或下限线前后过程进行确认 从而根据该参数指标的出现 进行多次合约做多&做空 开仓买卖 (使用OKX api)

bitcoin blockchain bot btc crypto cryptocurrency cryptography numpy okx okx-api okx-sdk okx-v5 python talib trade trade-bot tradebot

Last synced: 22 Oct 2025

https://github.com/lioccoumd/news-sentiment-analysis

This scrapes a variety of news stations websites for article titles and evaluates them using distilBERT pretrained model for sentiment analysis.

beautiful datasets distilbert news nltk numpy python pytorch reques scraping-websites sentiment-analysis transformers

Last synced: 16 Feb 2026

https://github.com/intelpython/mkl_umath

Package implementing NumPy's UFuncs based on SVML and MKL VML

mkl numpy python

Last synced: 22 Jun 2025

https://github.com/hansalemaos/cythonflatiter

Locates values in NumPy Arrays with Cython

cython isin iter numpy

Last synced: 15 May 2026

https://github.com/bl33h/relations

A program for relation analysis and matrix operations using numpy. It determines relation types and performs matrix computations.

discrete-mathematics matrix matrix-operations numpy python relations

Last synced: 15 May 2026

https://github.com/gaurav9364/credit-card-fraud-detection

Credit Card Fraud Detection using Machine Learning – A classification project that detects fraudulent credit card transactions using supervised learning, with data preprocessing, handling class imbalance, and model evaluation (ROC-AUC, Precision, Recall, F1-score).

googlecolab imbalanced-learn matplotlib numpy pandas python scikit-learn seaborn xgboost

Last synced: 08 Apr 2026

https://github.com/yashuv/numpy-for-data-science

A well structured practical deep dive into functional programming in NumPy.

ipynb-notebook numpy python3

Last synced: 28 Oct 2025

https://github.com/willprice/arsenal

Personal arsenal of python utilities

data-science machine-learning numpy pandas personal-tools python

Last synced: 09 Apr 2026

https://github.com/shriram-vibhute/digit_classification

This project demonstrates various machine learning techniques for classifying handwritten digits from the MNIST dataset. It covers data preprocessing, model training, evaluation, and advanced classification strategies.

classification data-analysis data-visualization machine-learning matplotlib numpy pandas sk-learn

Last synced: 28 Oct 2025

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/vicperal/ai-genai_projects

Python projects about LLM and ML use cases. I am using modules such as Pandas, Numpy, Plotly, scikit-learn, Transformers, Flask, JSON, etc. to analyze data, predict, generate insights and create text from models such as LLMs, linear regression, assembly methods, etc. Server- Front-End using Flask

assembly clinical-trials flask json linear-regression llm ml numpy pandas plotly price-prediction python rag random-forest scikit-learn sentimental-analysis sql text-summarization tokens-counter transformers

Last synced: 02 Apr 2026

https://github.com/syedaanif/ds-ml-pyhton

This repo contains learnings about Data Science and Machine Learning using Python

artificial-intelligence data-science machine-learning matplotlib numpy pandas plotly python seaborn

Last synced: 07 Apr 2026

https://github.com/aneeshmurali-n/ml_bangalore_house_price_analysis

This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.

box-plot correlation data-distribution data-transformation exploratory-data-analysis heatmap histplot iqr-method log-transformation matplotlib numpy outlier-detection outlier-handling pandas percentile-method python scatter-plot scipy seaborn z-score-method

Last synced: 06 Jan 2026

https://github.com/antonvagabond/maze

Operation and functionality of two mazes.

matplotlib maze numpy pillow python python3

Last synced: 07 May 2026

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/priyanshgoantiya/ml-from-scratch-without-sklearn

This repository contains machine learning algorithms implemented from scratch using only NumPy—without relying on scikit-learn or other high-level ML libraries. The goal is to provide a deeper understanding of how fundamental machine learning models work under the hood by implementing them step by step.

numpy

Last synced: 15 May 2026

https://github.com/lordronz/ascii-art-generator

Ascii art generator made with python

ascii-art numpy pillow prompt python terminal

Last synced: 20 Jan 2026

https://github.com/rasbeetech/loan-calculator

Tkinter framework application

matplotlib numpy python tkinter

Last synced: 20 Mar 2025

https://github.com/smolodtsova13/website

Веб-сайт для стоматологии

bootstrap django numpy pandas python

Last synced: 11 Apr 2026

https://github.com/alexandrbig1/py-design-analysis-algo

Advanced Python project on the design and analysis of algorithms. Includes practical modules on dynamic programming, graph theory, big data (Bloom filter, HyperLogLog), parallel computing (MapReduce), and optimization. Uses libraries like NumPy, Matplotlib, NetworkX, BTrees, PrettyTable, and Datasketch for efficient computation and visualization.

algorithms asyncio git heapq matplotlib numpy python python3 turtle

Last synced: 09 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/zionc27/computational-art-with-genetic-algorithm

Genetic algorithm to iteratively generate an image resembling an original image

genetic-algorithm numpy photography pillow-library python

Last synced: 17 May 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/valmir-unicap/rastreamento-de-gestos-para-controle-video

Projeto final da disciplina de visão computacional

ctypes mediapipe numpy opencv python vlc

Last synced: 13 Apr 2026

https://github.com/mr-chang95/ibm_recommendation_system

Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.

experimental-design ibm-watson machine-learning numpy pandas recommendation-engine recommendation-system udacity-data-science-nanodegree

Last synced: 20 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/aryansk/mnist-deep-learning-exploration

This repository contains implementation of various deep learning approaches for the MNIST handwritten digit classification task, using both scikit-learn and Keras frameworks.

keras machine-learning machine-learning-algorithms mnist-classification numpy python scikit-learn tensorflow

Last synced: 08 Apr 2026

https://github.com/xaxm007/nn-numpy

A Basic Logistic Regression Neural Network using NumPy and calculus.

critical-indulgence logistic-regression neural-network numpy study

Last synced: 19 May 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

https://github.com/prathameshdhande22/data-visualization-tutorial

Repository Contains all the stuff required for Data Visualization. Numpy Tutorial, Pandas Tutorial, Matplotlib Tutorial, Seaborn Tutorial

data-visualization jupyter-notebook matplolib numpy pandas pandas-dataframe python seaborn tutorial

Last synced: 09 Apr 2026

https://github.com/rayyan9477/data-driven-house-price-prediction-and-property-recommendation-app

The app leverages algorithms to accurately predict house prices and recommend similar properties based on a saved dataset through content-based filtering. It is tailored for homebuyers seeking their dream house and real estate investors looking for profitable opportunities, providing powerful insights and data-driven decision-making support.

data-science eda html machine-learning numpy pandas python scikit-learn

Last synced: 06 Apr 2026

https://github.com/cesarmartinez7/anchorports

Escaneador de puertos hecho en python con la libreria de nmap-python y Scapy.

arp colorama-librairy nmap numpy pyfiglet python python-nmap scapy-library

Last synced: 18 May 2026

https://github.com/avijit-jana/used-car-price-prediction

A Streamlit-based application utilizing machine learning to predict used car prices based on features like make, model, year, fuel type, and transmission, enhancing customer experience and streamlining the pricing process.

carpriceprediction data-science jupyter-notebooks machine-learning numpy pandas pickle pricing-data-science python3 streamlit streamlit-webapp webapplication

Last synced: 11 Apr 2026

https://github.com/virajbhutada/article-recommendation-system

This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.

anaconda article-recommendation clustering-algorithm data-analysis data-science keras-tensorflow machine-learning machine-learning-algorithms ml-models numpy pandas plotly python scikit-learn scipy

Last synced: 06 Jan 2026

https://github.com/bl0nder/regressify

A multi-task neural network coded from scratch that performs simultaneous regression and classification.

classification deep-learning multitask-learning neural-networks numpy regression

Last synced: 15 May 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/akashshnkr/multi-disease-prediction

Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.

logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm

Last synced: 02 Jan 2026

https://github.com/tasninanika/mammographic-masses-analysis-dt

This project uses a Decision Tree Classifier to predict whether a detected mammographic mass is benign (0) or malignant (1) based on input features.

decision-tree-classifier numpy pandas pyhton3 scikit-learn

Last synced: 11 Apr 2026

https://github.com/evardnk/dataanalyticsportfolio

Собрание моих проектов по аналитике данных

api automation data-analysis etl-pipeline jupyter-notebook jupyterlab kpis numpy pandas pipeline postgresql powerbi python sql visualization

Last synced: 17 Feb 2026

https://github.com/anish202020/big-data-analysis-mini-project

The primary purpose of this code is to predict wind speed using an LSTM model. The model is trained on historical wind speed data to forecast future values.

keras matplotlib-pyplot numpy pandas sklearn

Last synced: 12 Apr 2026

https://github.com/coqui123/tradegpt

TradeGPT is a full-stack cryptocurrency trading application that combines a modern Fresh (Deno) frontend with a Python (FASTAPI) backend for Coinbase integration and Azure AI Services for intelligent trading analysis. 💹

analytics automation cryptocurrency data deno fastapi fresh numpy python trading-algorithms trading-strategies tradingbot typescript

Last synced: 11 Apr 2026

https://github.com/affan-ch/gesture-talk-ai

GestureTalkAI: Decode hand language with precision. This AI project utilizes cutting-edge computer vision for real-time hand gesture detection, unveiling the unspoken messages conveyed through intuitive movements.

numpy open-cv python

Last synced: 09 Apr 2026

https://github.com/mirgis/sassy-sandbox

A diverse code collection encompassing Python, JavaScript, Julia, and others, providing a wealth of examples, experiments, and snippets.

android aws bokeh ipynb ipywidgets javascript julia kotlin matplotlib numpy playground python3 r sandbox scipy

Last synced: 02 Apr 2026

https://github.com/javierkaiser9/rgbd-dual_input_machine_learning_model

This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO

efficientnet efficientnetv2 machine-learning numpy opencv openvino python3 realsense-camera tensorflow

Last synced: 31 Dec 2025

https://github.com/ashkarin/ndpatch

Package to extract arbitrary regions from an N-dimensional numpy array assuming it mirrored infinitely.

array data-structures deep-neural-networks image-processing numpy patches region-of-interest

Last synced: 19 May 2026

https://github.com/chaitanya1436/student_performance_analysis

A project focused on analyzing college student performance using data on department, assessment scores, and performance labels. Implemented in Google Colab, the analysis includes data preprocessing, feature scaling, and exploratory data analysis to uncover insights and prepare the data for further analysis or modeling.

ata-preprocessing data-preparation exploratory-data-analysis feature-scaling google-colab numpy pandas scikit-learn

Last synced: 07 Feb 2026

https://github.com/biantris/graph-python

Graph sin vs cos using matplotlib and numpy

matplotlib numpy python python3

Last synced: 21 May 2026

https://github.com/cchandre/confkam

Conjugation method in configuration space for invariant tori of Hamiltonian systems

conjugation hamiltonian hamiltonian-dynamics invariant-tori kolmogorov-arnold-moser numpy python3 scipy

Last synced: 06 May 2026

https://github.com/kaikymoura/backcourt-api

Repository for the Basketball Advanced Stats API

fastapi nba-api nba-stats numpy pandas python swagger uvicorn

Last synced: 03 May 2026

https://github.com/quantum-software-development/statistical-measures

This repository contains a statistical analysis of customer service ratings for Biscobis Ltd

machine-learning mathematics mathp mathplotlib measurements numpy pandas puthon3 seaborn statisctics

Last synced: 12 Apr 2025

https://github.com/mrarvind90/fcc-mean-var-std-calculator

A Python program to compute the mean, variance, standard deviation, maximum, minimum, and sum of a given list, both flattened and along specified axes using Numpy.

black freecodecamp freecodecamp-challenge freecodecamp-project numpy python3

Last synced: 19 May 2026

https://github.com/rakibhhridoy/easywaydiveinto-datascience

Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.

algorithms algorithms-implemented bayesian-statistics data-science deep-learning deep-neural-networks linear-algebra machine-learning matplotlib multivariate-calculus numpy optimization pandas python scikit-learn scipy seaborn statistics statsmodels tensorflow

Last synced: 06 Apr 2026

https://github.com/johndev19/data-visualization-tool

A Python-based application for generating various types of charts and graphs from user-input data.

charts matplotlib numpy python visualization

Last synced: 17 May 2026

https://github.com/dwarkadhish2005/house-price-predictor

Applied neural network for machine learning and done many analysis of data

keras matplotlib numpy pandas python seaborn sklearn

Last synced: 09 Apr 2026

https://github.com/urob/numpy-mkl

MKL-accelerated NumPy and SciPy wheels

mkl numpy pypi

Last synced: 15 May 2026