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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/itancio/realestateprice

This is an application of deep learning to train and predict real estate price dataset in King County, USA.

datat-visualization machine-learning numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/solrikk/optichrom

This repository provides a collection of Python tools and applications for comparing images using various algorithms such as ORB (Oriented FAST and Rotated BRIEF) and SSIM (Structural Similarity Index). The tools include both command-line scripts and graphical user interface (GUI) applications for ease of use

computer-vision cv2 feature-matching image-comparison image-comparison-tool machine-learning numpy object-detection opencv orb python scikit-image ssim tkinter visualization yolo yolov5

Last synced: 18 Jan 2026

https://github.com/fiercex/toynn

Python实现神经网络

mnist-classification neural-network numpy python

Last synced: 15 May 2026

https://github.com/sivatsk26/university-admit-eligibility-predictor

This project is created using Machine Learning and Regression methods- a statistical technique to predict the outcome of event which is to verify the users’ admission eligibility level, considering the universities they have chosen. This is achieved based on the algorithms implemented, when is user feed the application with the required information

html-css-javascript ibm-cloud ibm-watson linear-regression machine-learning matplotlib numpy pandas python python-flask random-forest scikit-learn

Last synced: 13 Apr 2026

https://github.com/hansalemaos/permutation_no_repetition

Permutation without repetition - written in Cython - for Numpy

cython data-science no-repetitions numpy pandas permutations

Last synced: 14 Jan 2026

https://github.com/imswappy/brain-tumor-detection

🧠 Deep learning project for brain tumor classification using MRI images. Built with transfer learning (VGG16 + fine-tuning), TensorFlow/Keras, and deployed via Streamlit. Dataset & model loaded dynamically from KaggleHub. Includes training notebook, evaluation, and interactive web app.

kagglehub keras numpy pandas scikit-learn streamlit tensorflow vgg16-model

Last synced: 13 Apr 2026

https://github.com/quentinwidlocher/cours-python-pandas

Jupyter Lab sur le traitement des données en python

jupyter-lab matplotlib numpy pandas python

Last synced: 13 Apr 2026

https://github.com/takkii/pylean

Data analysis ( 🐍 💎 📈 )

analayze matplotlib numpy pandas python scikit-learn

Last synced: 09 Sep 2025

https://github.com/Krisseck/hki-traffic-predict

Keras neural network to predict traffic in Helsinki

avoindata helsinki keras numpy open-data python traffic

Last synced: 13 Jul 2025

https://github.com/programmer-rd-ai/moviedatascraper

Explore the cinematic universe with our IMDb web scraping project! Dive into movie data with ease, uncovering insights from cast to critical reviews. With dynamic visualizations and reliable data, let's journey through the world of movies like never before. Lights, camera, analysis!

beautifulsoup beautifulsoup4 data data-analysis jupyter-notebook matplotlib numpy pandas programming python python3 scraping seaborn software web

Last synced: 01 Mar 2025

https://github.com/programmer-rd-ai/dimensionality-reduction

DimRed is a comprehensive Python toolkit for advanced dimensionality reduction, integrating with major machine learning libraries and featuring real-time performance monitoring to enhance data analysis and model efficiency.

analytics data-analysis data-science lightgbm machine-learning matplotlib numpy pandas programming python python3 sklearn university xgboost

Last synced: 01 Mar 2025

https://github.com/21aja/house_price_prediction_revised_project

House price prediction using ML with Decision Tree Regressor achieving 100% accuracy. Preprocessing, EDA, and model evaluation applied using Python, Pandas, NumPy, Scikit-learn, and XGBoost for data-driven insights.

decision-tree-classifier linear-regression numpy pandas xgboost

Last synced: 13 Apr 2026

https://github.com/chaymabghozzi/somnolence

Détection de somnolence

dlib numpy opencv pygame python

Last synced: 13 Apr 2026

https://github.com/codewitheshayoutube/corvit_python_data_analytics_course

I teach Python & Data Analytics at Corvit Systems. This repository contains all course materials, including code, assignments, projects, and resources. ⭐ Stay updated!

matplotlib numpy pandas python python3 scikitlearn-machine-learning seaborn

Last synced: 13 Apr 2026

https://github.com/rara-ch/data-analysis-portfolio

This repository to store my data analytics projects, showcasing my skills in SQL and Python.

data-analysis mathematics matplotlib numpy pandas portfolio probability python seaborn sql statistics

Last synced: 12 Mar 2025

https://github.com/rishraks/color-object-detection

This project enables real-time detection of user-defined color objects using a webcam. Users enter a color name, and the program identifies objects matching that color by converting it to its HSV range, applying a mask, and detecting contours. It's a practical tool for object tracking, sorting, and interactive applications.

computer-vision numpy opencv pillow-library

Last synced: 11 Apr 2026

https://github.com/mansurpro/digitrecognizer

DigitRecognizer is a simple, handcrafted neural network implemented with NumPy to classify handwritten digits from the MNIST dataset. This project demonstrates the foundational principles of neural networks, including forward propagation, backpropagation, and gradient descent, all built from scratch without relying on deep learning frameworks.

backpropagation custom-dataset data-visualization deep-learning from-scratch gradient-descent handwritten-digit-recognition machine-learning minimal-dependencies mnist neural-network numpy python

Last synced: 16 May 2026

https://github.com/martincastroalvarez/python-deep-learning-algorithms

Combinatorics implemented with numpy, matplotlib and scipy.

algebra combinatorics matplotlib numpy python scipy

Last synced: 13 Apr 2026

https://github.com/neerajcodes888/diwali-sales-analysis

An open-source repository for sales data analysis. Dive into insightful trends, metrics, and visualizations to empower data-driven decision-making. Ideal for data analysts, business professionals, and enthusiasts seeking comprehensive sales insights. Clone, customize, and contribute to enhance your sales analytics journey.

data-science-projects data-visualization numpy pandas-dataframe python3 sales-analysis seaborn-plots

Last synced: 26 Mar 2025

https://github.com/mchenryspagg/prosper-loan-project

A data analysis project that entails using the data from a fictional loan company known as Prosper to perform exploratory data analysis using univariate, bivariate and multivariate visualizations to produce insights that answers questions asked from the data

datastorytelling exploratory-data-analysis exploratory-data-visualizations jupyter-notebook matplotlib-pyplot numpy pandas python seaborn-plots

Last synced: 13 Apr 2026

https://github.com/camilajaviera91/clustering-first-approach

This code will help to understand, in a simple way, how the clustering model works. To achieve this, we will input certain variables (strings and integers), then plot them to visualize and analyze how the values are positioned.

array cluster clustering dictionaries matplotlib numpy pandas python

Last synced: 13 Apr 2026

https://github.com/moataz-elmesmary/analog-clock-opencv

Computer vision project implemented with OpenCV

computer-vision cv2 numpy opencv

Last synced: 07 May 2026

https://github.com/imswappy/ads-eda-predictor

Interactive Streamlit app for marketing campaign analytics and prediction. Includes dashboards, EDA, econometrics tests (ADF, cointegration, OLS diagnostics), ML pipelines with preprocessing, CV, and persistence. Predict outcomes with Linear/Ridge/Lasso/Random Forest regressors.

adf breusch-pagan cointegration lasso-regression linear-regression matplotlib-pyplot numpy pandas random-forest ridge-regression seaborn sklearn

Last synced: 02 May 2026

https://github.com/varun-khorgade/churnshield-customer-retention-predictor

Built an ML-based classification model to predict customer churn. Applied data preprocessing, feature engineering, and ensemble algorithms to improve prediction accuracy and help businesses implement retention strategies.

classification-algorithm datapreprocessing f1-score feature-engineering hyperparameter-tuning logistic-regression matplotlib model-evaluation numpy pandas python ran roc-auc scikit-learn seaborn xgboost

Last synced: 07 May 2026

https://github.com/avs123a/image-color-spaces-morphology-demo

Simple demo that shows extracting RGB and HSV channels, converting from RGB to HSV and reverse converting. There are 4 main morphological operations used: erosion, diletion, opening and closing image

demo image-processing jupyter-notebook numpy opencv python3

Last synced: 05 May 2026

https://github.com/madhuresh2011/amazon-sales-report-analysis-using-python

This project focuses on analyzing Amazon sales data using Python to uncover insights into sales performance, customer behavior, and product trends

charts cleaning-data data-analysis jupyter-notebook matplotlib numpy pandas python seaborn visualization

Last synced: 17 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/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/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/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/tillahoffmann/idxhound

🐶 Track indices across one or more numpy selections.

data numpy scientific-computing

Last synced: 14 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/saif-gitreps/car-price-prediction-model

ML model that predicts car price based on different car features. (in dev..)

data-preprocessing data-visualization matplotlib numpy pandas python seaborn

Last synced: 01 Apr 2025

https://github.com/sidsurakanti/mnist-classification

realtime handwritten digit recognition & mnist digit classification from scratch w/ only maths and numpy

classification math ml mnist numpy

Last synced: 14 May 2026

https://github.com/isaacef/independent-motion-detector

Detect independently moving objects in a scene captured by a single camera.

numpy opencv python

Last synced: 09 May 2026

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/sumitgirwal/diabetes-linear-regression-ml

This is a simple diabetes checker machine learning test model, build with linear regression in Python , Matplotlib, NumPy, and sklearn. Diabetes is built in a dataset within the sklearn library. Where first you train the model then you apply a test to see how the output/result is approximate/good or change something in the model.

linear-regression matplotlib numpy python3 sklearn

Last synced: 18 Apr 2026

https://github.com/abhy-kumar/ahmedabad-weather-projection

This notebook tries to predict Ahmedabad's weather using historical trends

arima-forecasting numpy pandas python

Last synced: 13 Apr 2026

https://github.com/lunastev/flowmodel

FlowModel is a lightweight and extensible machine learning framework designed for beginners to easily experiment with AI development through a modular plugin architecture.

ai ai-model ai-models beginner-friendly flow-model flow-models flowmodel framework lightweight machine-learning model numpy plugin-architecture python torch torchvision

Last synced: 20 May 2026

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

Tkinter framework application

matplotlib numpy python tkinter

Last synced: 20 Mar 2025

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/cypher-adi/loan-predictor

A loan approval prediction system.

flask ipynb-jupyter-notebook machine-learning numpy

Last synced: 05 Mar 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/xylambda/toydiff

Yet another tensor automatic differentiation framework

autodiff autodifferentiation backpropagation computational-graphs gradient numpy python tensor

Last synced: 30 Jun 2026

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/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/urob/numpy-mkl

MKL-accelerated NumPy and SciPy wheels

mkl numpy pypi

Last synced: 15 May 2026

https://github.com/artikumari28/movie-recommender-system

This project is a content-based movie recommendation system, where movies are recommended based on their similarity in content. The system analyzes various features such as genres, cast, and descriptions to suggest similar movies.

google-colab machine-learning nltk numpy pandas pickle scikit-learn streamlit

Last synced: 06 Apr 2026

https://github.com/jai0212/cash-app-bias-busters

A platform developed with Cash App to help ML engineers detect and visualize biases in models using Fairlearn. Features include a collaborative and interactive dashboard (React, Chart.js), a Flask backend, and a secure MySQL database for data storage and analysis.

bias-detection chartjs fairlearn flask machine-learning mysql numpy pandas pytest python react scikit-learn scipy

Last synced: 16 Feb 2026

https://github.com/msadeqsirjani/cinemetrics

This project focuses on analyzing the Netflix dataset to gain insights into the movies and TV shows available on Netflix.

decision-trees jupyter matplot netflix nlp nltk numpy pandas plotty python scikitlearn-machine-learning seaborn sklearn svm

Last synced: 06 Apr 2026

https://github.com/gourab-sinha/instabot

This project is all about web scraping using Selenium, BeatifulSoup and Python Packages.

beautifulsoup matplotlib numpy pandas python3 selenium-python

Last synced: 06 Apr 2026

https://github.com/raghavendranhp/waiter_tip_prediction

The "Waiter Tips Prediction Model" is a machine learning tool that forecasts waiter tips based on factors like the total bill, customer demographics, and dining specifics. It assists waitstaff and restaurants in understanding and estimating tipping patterns

eda numpy pandas plotly-express plotly-graph-objects python sklearn

Last synced: 06 Apr 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/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/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/upul/chocolate-quality-analysis

This repository contains a Jupiter notebook which describes how to use basic machine learning tools such Scikit-Learning, Pandas, and Numpy for buiding models.

machine-learning numpy pandas predictive-analytics scikit-learn

Last synced: 04 May 2026

https://github.com/jaffar-hussein/python-pdb-parser-and-analysis

A Python-based parser and analysis tool for Protein Data Bank (PDB) files. The project aims to facilitate the manipulation of PDB files, enabling users to extract and compute various structural properties of proteins, such as counting amino acid residues and calculating distances between atoms.

jupyter-notebook matplotlib numpy pdb pdb-parser python3 seaborn

Last synced: 10 May 2026

https://github.com/mchenryspagg/outlier-detection-in-election-data

This project aims to examine possible voting irregularities in Nigeria's 2023 election, focusing on alleged vote manipulations by INEC. It seeks to ensure election transparency by identifying polling units with results that significantly differ from nearby units.

geographic geographical-information-system geospatial-analysis geospatial-data latitude-and-longitude matplotlib-pyplot numpy outlier-detection pandas python seaborn

Last synced: 20 Jan 2026

https://github.com/mthiboust/array2image

Converts a Numpy array to a PIL image.

array data-visualization image numpy pillow plotting python

Last synced: 15 May 2026

https://github.com/vidhi1290/text-classification-model-with-attention-mechanism-nlp

This Python project utilizes PyTorch to perform text classification with an attention mechanism. Pre-trained GloVe embeddings are processed for word representation, and a custom attention model is trained on consumer complaint data to categorize complaints into product categories.🎯

attention-mechanism deeplearning machine-learning nlp nltk numpy pandas python pytorch scikit-learn text-classification tqdm

Last synced: 06 Apr 2026

https://github.com/mahnoorsheikh16/credit-card-default-prediction

This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.

encoding hiplot imblearn json knn-imputer logistic-regression matplotlib numpy pandas pca-analysis plotly scipy seaborn sklearn smote streamlit support-vector-machines timeseries-forecasting visualization xgboost-classifier

Last synced: 06 Apr 2026

https://github.com/thomasonzhou/minitorch

rebuilding pytorch: from autograd to convolutions in CUDA

cuda numba numpy

Last synced: 02 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/hq969/ecomind

EcoMind is an end-to-end AI-driven sustainability platform designed to address two critical global challenges: accurate climate forecasting and energy-efficient computing infrastructure. The system integrates multimodal climate datasets (temperature, CO₂, humidity, sea-level data) with deep learning models to generate predictive climate scenarios.

kubernetes numpy pandas python reinforcement-learning tensorflow

Last synced: 01 Jul 2026

https://github.com/ewertondrigues02/dados-do-covid-19

Análise exploratória dos dados do COVID-19 / de 22 de Janeiro de 2020 a 27 de Julho de 2020 em 188 países análise feita com as ferramentas como: jupyter Notebook, Google Colab, Excel, Power BI e bibliotecas: Pandas, Matplotlib, Numpy.

analise-exploratoria colab covid-19 covid19 dataframe folium folium-maps folium-python google-colab jupyter jupyter-notebook numpy pandas python3

Last synced: 02 May 2026

https://github.com/huichuanli/play-with-linear-algebra

use python3 and Numpy to realize my personal linear Algebra library

numpy python3 scipy

Last synced: 07 May 2026

https://github.com/rex-8/mnist-4-layer

Implementing a 4 layer neural to identify digits from a 28x28 grid using just python and numpy

backward-propagation deep-learning forward-propagation loss-functions machine-learning mnist-classification neural-network numpy python relu-network

Last synced: 15 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/Asit-14/Python-Programming

This repository contains all the programs and resources we will use to learn Python programming. It also includes various modules, Python libraries, and several project examples to enhance our learning experience.

matplotlib modules numpy pandas python tkinter

Last synced: 29 Oct 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/patilni3/numpy-in-depth

Python's NumPy Library for Data Analysis, Machine Learning, Data Science and many more...

data-analysis data-engineering data-science machine-learning numpy pandas

Last synced: 10 May 2026

https://github.com/machinelearningprodigy/covid-19-detection-system

It is a Flask-based web application that predicts the likelihood of COVID-19 infection based on user symptoms. The app utilizes a K-Nearest Neighbors (KNN) model trained on relevant medical features to assess COVID-19 risk.

algorithms feature-engineering flask machine-learning numpy pandas scikit-learn

Last synced: 20 Apr 2026

https://github.com/adinack/chemistry-equation-balancer

A small python tool that can solve n-dimensional balancing equations.

chemistry matrices numpy sympy

Last synced: 16 May 2026

https://github.com/nicolau-369/jupyter

Treinamento Para Análise de Dados.

big-data jupyter jupyter-notebook matplotlib numpy pandas python python3

Last synced: 19 Mar 2025

https://github.com/shoaib-programmer/pychemicals

Python library designed for chemical calculations like pH, and titrations. It also includes other features like interactive graph plotting.

chemicals matplotlib numpy pyplot python3 titration titration-curve

Last synced: 19 Mar 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/pjessesco/print2d

Replacement of `print()` for printing 2d array with readability including Torch and Numpy.

formatted-text numpy print python3 readability torch

Last synced: 07 Jan 2026

https://github.com/odnil/flowmodel

FlowModel is a lightweight and extensible machine learning framework designed for beginners to easily experiment with AI development through a modular plugin architecture.

ai ai-model ai-models diffusion flow-model flowmodel framework inverse-problems machine-learning numpy plugin-architecture python torch torchvision

Last synced: 20 Mar 2025

https://github.com/aarryasutar/logistic_regression_on_age_prediction

This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.

accuracy-score confusion-matrix f1-score feature-selection logistic-regression model-training numpy pandas precision recall rmse roc-auc-curve scikit-learn visualization

Last synced: 20 Jan 2026

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