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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/darshan12345678910/air-quality-prediction-ml-algorithms

AirPredict AQI prediction using classification algorithm

classification-algorithims gradio-interface numpy pandas

Last synced: 06 May 2026

https://github.com/khaymanii/customer_segmentation_model

This model was built using Python and KMeans Clustering algorithm

matplotlib numpy pandas python sckit-learn seaborn

Last synced: 06 May 2026

https://github.com/rudrakshi99/movie-recommendation-system

Movie recommendation system using machine learning and predict user ratings for the movies.

dataframes machine-learning matplotlib numpy pandas seaborn

Last synced: 07 May 2026

https://github.com/nemeslaszlo/emergency-911-calls

Covers emergency (911) Calls: Fire, Traffic, EMS for Montgomery County, PA analysis with visualizations.

jupyter-notebook matplotlib numpy pandas seaborn

Last synced: 06 May 2026

https://github.com/abhishek010397/logisticregression

Using Logistic Regression Classifier to Predict Target Using Three Features

csv iloc logistic-regression machine-learning numpy pandas-dataframe python3 sigmoid-function sklearn

Last synced: 06 May 2026

https://github.com/thevarunsharma/similar-word-finder

A web application with Python backend which finds words similar to a given word, using pre-trained GloVe word embeddings.

flask-application machine-learning nlp numpy python word-embeddings

Last synced: 07 May 2026

https://github.com/affromero/pixelcache

A versatile image processing library for Python with built-in support for caching, using Pillow, NumPy, and PyTorch.

image-processing numpy opencv pillow pytorch torchvision

Last synced: 07 May 2026

https://github.com/gehad-ahmed30/data-analysis

This repository offers a guide to data visualization with Pandas and includes practical examples and two complete projects. Learn to preprocess, analyze, and visualize datasets to solve real-world problems effectively.

analysis matplotlib numpy pandas python seaborn

Last synced: 07 May 2026

https://github.com/sumonta056/bangladeshi-vehicle-number-plate-detection

Image Processing Pipeline: Enhance, rotate, extract features, and segment characters in images for text recognition and enhancement.

candy-edge connected-components edge-detection grayscale-images morphological-analysis numpy opencv python radon-transform scikit-image sobel-edge-detector

Last synced: 07 May 2026

https://github.com/mihirh19/analyzing-crimes-in-la

This GitHub repository contains a comprehensive analysis of crime data in Los Angeles. Leveraging a variety of data sources, tools, and techniques, we have explored patterns, trends, and insights related to criminal activities within the city. Our analysis includes data visualization crime dynamics in different neighborhoods and over time.

dataset machine-learning matplotlib numpy pandas seaborn

Last synced: 07 May 2026

https://github.com/sudipbishwakarma/bulk-remove-onesignal-users

Bulk remove OneSignal subscribed users blazingly faster with parallel processing.

numpy pandas python python-logger python-multiprocessing python-threading python3

Last synced: 07 May 2026

https://github.com/ananyachibber21/python-numpypandas-exercises

Exercises - Python for Data Science - NumPy + Pandas

numpy pandas python udemy

Last synced: 07 May 2026

https://github.com/yash22222/sync-intern-s-ml-tasks

SYNC INTERN'S Machine Learning internship will offer you to enhance your skills by doing real-life example projects. This internship will increase your knowledge in the field of data and algorithms to understand how a machine learns.

bhpp boston-house-datasets boston-house-price-prediction boston-house-pricing data data-structures machine-learning machine-learning-algorithms numpy pandas sync-intern sync-interns

Last synced: 07 May 2026

https://github.com/hansalemaos/numpycythonpermutations

Permutations, Combinations and Product for Numpy - written in Cython - 20x faster than itertools

c combinations cython fast itertools numpy permutations product python

Last synced: 08 May 2026

https://github.com/henriqueotogami/curso-de-python3-udemy

Documentos do curso de Python 3, com arquivos das aulas, e Jupyter Notebook. Conceitos de Machine Learning.

iris-dataset jupyter-notebook linear-regression numpy pandas-python python3 udemy

Last synced: 08 May 2026

https://github.com/toby-sanders-101/mydigits

Everything needed to create a AI bot that can read images

deep-neural-networks image-classification matplotlib numpy opencv pyautogui python

Last synced: 08 May 2026

https://github.com/aroojzahra908/artifical-intelligence-and-machine-learning-

Explore the basics of linear regression, gradient descent, and AI using Python. Get hands-on with NumPy, pandas, Matplotlib, and scikit-learn for practical learning.

artificial-intelligence gradient-descent linear-regression machine-learning matplotlib numpy pandas scikit-learn-python

Last synced: 08 May 2026

https://github.com/nitsc/spell-from-threebodytrilogy

Implemented the process of extrapolating from Gaia stellar data, to 3D visualizations, to three-views, to three-view signals, to three-view audio of signals, and even their inversions. This project proves the feasibility of the Logic (Luoji)'s “spell” from “The Three Body Problem” trilogy.

3d 3d-graphics astronomy astronomy-astrophysics audio audio-processing data data-science data-visualization gaia graph information-technology information-visualization numpy python python-3 python3 signal signal-processing visiualization

Last synced: 02 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/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/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

https://github.com/amir78729/signals-and-systems

The Implementation section of the "Signals and Systems" course

convolution fft fourier-transform numpy python scipy signals signals-and-systems

Last synced: 06 Apr 2026

https://github.com/kernferm/presfutimpactsim

This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.

economic-model forecasting matplotlib numpy political-model python scipy simpy simulation social-model

Last synced: 07 Jan 2026

https://github.com/prashver/salary-prediction-on-scraped-data

This tool predicts data science salaries by scraping Glassdoor job descriptions. Features quantify company valuation of key skills. Regression models include Multiple Linear Regression, Lasso Regression, and Random Forest. Random Forest outperformed others. Technologies/libraries used: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.

data-scraping machine-learning-algorithms matplotlib numpy pandas regression-models salary-estimator seaborn selenium selenium-webdriver

Last synced: 06 Apr 2026

https://github.com/md-emon-hasan/numpy-pandas-matplotlib-seaborn

A collection of tutorials and examples showcasing the usage of Numpy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization.

data-science data-visualization matplotlib numpy pandas python seaborn

Last synced: 06 Apr 2026

https://github.com/ki3mono/naive_bayes_classifier

This project implements Naive Bayes Classifiers for two data types: Multinomial Naive Bayes Classifier and Gaussian Naive Bayes Classifier. Developed as part of the Probability Theory and Statistics course in the second year of Computer Science at AGH University of Krakow.

iris-dataset mushroom-dataset naive-bayes-classifier numpy python scikit-learn

Last synced: 06 May 2026

NumPy Awesome Lists
awesome-jax 218 awesome-data-analysis 936 awesome-ebooks 106 awesome-jax 149 awesome-mojo-max-mlir 181 awesome-numpy 32 practice-data-science-programming-projects 90
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Blogs 404 Libraries 239 ⚡ Productivity 101 🧠 AI Applications & Platforms 96 🐍 Python 91 Exercises 87 Models and Projects 74 📚 Skill Development & Career 67 🗃️ SQL & Databases 53 Tutorials and Blog Posts 53 🤖 Machine Learning & AI 52 📦 Additional Python Libraries 52 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 37 🎲 Statistics & Probability 34 Videos 34 🚀 MLOps 31