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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/athiyaman-m/brain-tumor-classification-using-deep-learning

• This deep learning model is developed to classify and identify different types of brain tumors, as well as determine their existence, using Convolutional Neural Networks. This is achieved through the training and testing of 3264 MRI images.

keras numpy opencv pandas sklearn tensorflow

Last synced: 08 Apr 2026

https://github.com/technologicat/orderfix

Reorder solutions of parametric studies to make continuous curves

cython eigenvalues numpy postprocessing python python2 python27 python3 python34

Last synced: 25 Jan 2026

https://github.com/alexsolov28/vkrb

Выпускная квалификационная работа бакалавра «Система анализа алгоритмов машинного обучения для решения задач классификации с использованием Pandas»

jupyter-notebook matplotlib numpy pandas python scikitlearn seaborn streamlit

Last synced: 15 Feb 2026

https://github.com/harmanveer-2546/motor-vehicle-accidents-in-india

As per the report, a total of 4,61,312 road accidents have been reported by States and Union Territories (UTs) during the calendar year 2022, which claimed 1,68,491 lives and caused injuries to 4,43,366 persons.

accidents accidents-analysis darkgrid data-analysis eda exploratory-data-analysis indian-roads inline matplotlib motor-vehicles numpy pandas review seaborn visualization

Last synced: 19 Jan 2026

https://github.com/mituskillologies/aiml-dypiemr-sep24

Programs conducted at DYPIEMR, Pune in training on AIML during September 2024.

artificial-intelligence data-analysis data-science machine-learning matplotlib neural-network numpy pandas python3

Last synced: 05 Apr 2025

https://github.com/harmanveer-2546/guide-to-regularization

Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.

generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn

Last synced: 05 Apr 2025

https://github.com/chandkund/predicting-heart-disease

Welcome to the Heart Disease Prediction project! 🩺 This project focuses on developing a predictive model to assess heart disease risk based on health indicators like age, cholesterol levels, and blood pressure. By analyzing these features, we aim to create an effective tool for early diagnosis and heart disease prevention

machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 18 Jan 2026

https://github.com/Mike014/SoundBot

This Repository will contain the prototype of a ChatBot created for the playback of audio, or everything related to audio in the world of video games and not.

chatbot dsp nlp nlp-library nlp-machine-learning numpy python scipy sound-processing

Last synced: 12 Sep 2025

https://github.com/aapo-kossi/christmas_tree_spectrogram

Colab notebook to generate a spectrogram visualization on a programmable led installation

colab-notebook numpy pandas python

Last synced: 07 Apr 2026

https://github.com/hanzopgp/tensorflowtest

Learning how to use jupyter notebook, tensorflow, numpy and other librairies for machine learning projects. Following Thibaut Neveu's tutorial.

artificial-intelligence convolutional-neural-networks deep-learning lstm-neural-networks machine-learning matplotlib multilayer-neural-networks numpy personal recurrent-neural-networks sklearn tensorflow

Last synced: 07 Apr 2026

https://github.com/hansalemaos/stridesduplicatefinder

Calculate overlapping values between two arrays and return the results as a DataFrame

duplicates fast numexpr numpy strides

Last synced: 07 Mar 2026

https://github.com/orthoin3d/django-ndarrayfield

New Django field to store numpy ndarray.

django django-fields numpy numpy-arrays

Last synced: 07 Mar 2026

https://github.com/bbergerud/tenops

Creating a common interface for numpy, pytorch, tensorflow, etc.

numpy pytorch tensorflow

Last synced: 20 Jan 2026

https://github.com/hansalemaos/ffmpeg_stream_to_numpy

ffmpeg stream to numpy arrays

cv2 ffmpeg numpy python stream video

Last synced: 29 Apr 2026

https://github.com/kgruiz/linalg-practice

LinAlg-Practice is a Python library developed to deepen my understanding of linear algebra through hands-on implementation of various matrix operations. It includes comprehensive tests that compare the results with established libraries like NumPy to ensure accuracy and reliability.

algorithms data-science linear-algebra math matrix-operations numpy python sympy

Last synced: 21 Apr 2026

https://github.com/vetrivel07/flight-price-prediction

Developed a flight price prediction model using Python, analyzing historical data to forecast airfare prices and help travelers make informed booking decisions

data-analysis data-visualization jupyter-notebook numpy pandas python

Last synced: 15 Jun 2025

https://github.com/fikri-rouzan/energy-consumption-prediction

Final Project for the AI/ML Weekly Class by Google Developer Group on Campus (GDGoC) UIN Jakarta.

jupyter-notebook matplotlib numpy pandas python scikit-learn scipy seaborn

Last synced: 07 Apr 2026

https://github.com/vinicius999/eda-imdb-top1000-films

Análise exploratória dos Top 1000 filmes no IMDB até 2020

eda numpy pandas python

Last synced: 07 May 2026

https://github.com/rajatnai49/data-science-practices

In this, I am adding all the Python exercises with the solutions related to data handling, analysis, and visualization using libraries such as NumPy, Pandas, and Matplotlib for data analysis and visualization.

jupyter-notebook matplotlib numpy pandas python

Last synced: 09 Apr 2026

https://github.com/buildwithlal/introduction-to-data-science-in-python-coursera

introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera

data-analysis matplotlib numpy pandas

Last synced: 03 May 2026

https://github.com/hamishivi/denserflow

A basic numpy neural net library. This achieved high marks in a uni assignment!

deep-learning neural-network numpy

Last synced: 18 May 2026

https://github.com/johanntf/direccion_maximo_crecimiento

Dirección de máximo crecimiento en una función multivariable dado un punto de partida

customtkinter matplotlib numpy python

Last synced: 18 May 2026

https://github.com/sanjanahombal/study-on-sentiment-analysis

This project explores the optimal combination of Bag-of-Words and TF-IDF vectorization with Naive Bayes and SVM for sentiment analysis. It evaluates performance using accuracy, precision, recall, and F1-score, addressing ethical concerns like data privacy and bias to improve sentiment classification in real-world applications.

bag-of-words confusionmatrix googlecollab gridsearch-crossvalidation matplotlib-pyplot naive-bayes-classifier numpy pandas seaborn sklearn svm-classifier tfidf-vectorizer

Last synced: 07 Jan 2026

https://github.com/sultanazhari/customer-habit-analysis-model

Megaline company wants to develop a model that can analyze consumer behavior and recommend one of Megaline's two new plans: Smart or Ultra. In this classification task, we need to develop a model that is able to choose the right package

accuracy-score decision-tree-classifier logistic-regression matplotlib-pyplot numpy pandas python3 random-forest-classifier seaborn train-test-using-sklearn

Last synced: 11 Apr 2026

https://github.com/abdullahashfaqvirk/sms-spam-detection

A machine learning application designed to classify SMS messages as spam or non-spam, offering real-time analysis to identify potentially harmful content.

css3 docker flask html5 javascript matplotlib nltk numpy pandas python scikit-learn seaborn tailwindcss xgboost

Last synced: 02 Apr 2026

https://github.com/santiagoenriquega/custom_neural_net

This repository focuses on building a neural network from scratch using only base python and Numpy.

gradient-descent neural-network numpy optimization python

Last synced: 18 May 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/dmarks84/coursework_project_ml-model-eval-refine

Project for IBM Data Science course on ML Models & Analysis -- Read in large dataset of home sales and utilized polynomial linear regression analysis to make predictions of future home sales prices

classification communication data-modeling dataframes machine-learning matplotlib numpy pandas programming python regression scikit-learn scipy seaborn supervised-ml visualization

Last synced: 09 Apr 2026

https://github.com/danwild/bike-share-prediction

Predict bike sharing time-series with numpy for Deep Learning

artificial-intelligence artificial-neural-networks deep-learning neural-network numpy

Last synced: 16 May 2026

https://github.com/dor-sketch/audio-visual-synth

Combining real-time graphics, audio synthesis, and interactive elements to create an engaging, cross-platform music visualizer.

image-processing midi-player music-composition musicsheet notes-tool numpy pygame pygbag pyopengl

Last synced: 18 May 2026

https://github.com/yash22222/analysis-of-amcat-aspiring-minds

Analyzing employment outcomes for engineering graduates based on a provided dataset. Specifically, it aims to verify a claim regarding the salary range for fresh graduates in certain engineering roles and investigate potential relationships between gender and specialization preferences.

amcat aspiring-minds charts computer-engineering data-analytics data-vizualisation dataset graph machine-learning matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/yesenvidnath/facerecognito-pythonfacialrecognitionapplication

this is a web application created to detect faces using a pre-given image links through Excel format, this project uses Pytorch & Flask

facent flask numpy python

Last synced: 10 Apr 2026

https://github.com/dvamishkilapa/xolm2_py

Ported Xolm2 VSU

mathplotlib numpy pyqt5

Last synced: 23 Oct 2025

https://github.com/biocpy/mopsy

Matrix operations

matrix numpy scipy

Last synced: 07 Mar 2026

https://github.com/kr1shnasomani/facetronix

A toolkit for face detection, annotation, and mask recognition.

computer-vision deep-learning keras neural-network numpy opencv tensorflow

Last synced: 05 Apr 2026

https://github.com/yalai92/master_academic_projects

This repository is dedicated to showcasing the academic projects completed during my Master in Data Science & AI. The main objective is to show a collection of projects in various data science fields, including: data cleaning & preprocessing, data analysis, data visualization, machine learning, clustering, among others.

automation clustering data-merging google-colab jupyter-notebook machine-learning matplotlib numpy pandas powerbi python sklearn xgboost

Last synced: 13 Jun 2025

https://github.com/muhkartal/fr-framework

A modular and extensible face recognition framework featuring real-time detection, facial landmark analysis, and recognition with API support.

dlib face-recognition fastapi numpy opencv pillow pydantic python-multipart requests scipy uvicorn

Last synced: 13 Apr 2026

https://github.com/guifernandess7/ciencia-de-dados-e-ml-notebooks

Notebooks com uso dos módulos Pandas, Numpy e Matplotlib para análise de dados e criação de gráficos e tensorFlow e seaborn para machine learning e visualização

machine-learning matplotlib numpy pandas python tensorflow

Last synced: 04 Apr 2026

https://github.com/lgope/book-recommender-system

Book recommender system a Collaborative Filtering Based Recommender System using Machine Learning, Numpy, Pandas Python, Flask, Kaggle Dataset

collaborative-filtering flask html-css jupyter-notebook kaggle-dataset machine-learning numpy pandas python

Last synced: 13 Apr 2026

https://github.com/sudarshanc00/brain-tumor-classification

This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.

matplotlib numpy pytorch resnet scikit-learn streamlit

Last synced: 10 Apr 2026

https://github.com/mathensley/asimpleneuralnetworklib

A simple library in Python for training datasets using neural network models

deep-learning neural-networks numpy python

Last synced: 19 Apr 2026

https://github.com/firewind25/gdp-data-extraction-and-processing

Data Extraction from a web resource using Web-Scraping and request APIs. Processed it using Pandas and NumPy libraries. Finally exporting it to csv file for further analysis

numpy pandas python webscraping

Last synced: 12 Jul 2025

https://github.com/blinksta1ker/spam-mail-classification

Supervised ML model using Logistic Regression model to classify an email as Ham or Spam

jupyter-notebook logistic-regression machine-learning numpy pandas python sklearn supervised-machine-learning

Last synced: 09 Apr 2026

https://github.com/jkosla/neural_network_from_scratch_numpy

Neural Network From Scratch in Python | Build a simple neural network from scratch using pure Python and NumPy. Learn about forward propagation, backpropagation, and training with gradient descent. Accompanies my Medium article.

ai aritificial-intelligence medium nerual-networks numpy python3 tutorial

Last synced: 10 Apr 2026

https://github.com/mnitin-reddy/image-compression-using-k-means-clustering

This project implements the K-means algorithm for clustering and image compression. It reduces the number of colors in an image using K-means, achieving compression while maintaining key visual features. The project demonstrates the process on a sample dataset and a real image.

image-processing imagecompression kmeans-clustering machine-learning matplotlib numpy

Last synced: 19 May 2026

https://github.com/wisskirchenj/matrix-processor

Python app to process matrices using numpy

matrix-calculations numpy python3

Last synced: 16 May 2026

https://github.com/marcinz20/sortingalgorithms

This is a basic console program which contains just a few, basic sorting algorithms and showcases their usage

algorithms numpy object-oriented-programming python

Last synced: 15 May 2026

https://github.com/Madhuresh2011/Leetcode-Questions-Analysis-Using-Python

The LeetCode Question Analysis is a Python-based project designed to help users analyze and gain insights into LeetCode problems. It allows users to track, categorize, and evaluate their progress, identify patterns in problem-solving, and optimize the preparation.

analysis csv-files matplotlib-pyplot numpy pandas python python-project seaborn

Last synced: 13 Sep 2025

https://github.com/muhdhammad/machine-learning

Crafted for hands-on learning and implementation of ML with scikit-learn

data-science jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 07 Apr 2026

https://github.com/shweta189/sms-spam-detection

Detecting Spam SMS's messages using machine learning algorithms.Utilizing NLP techniques such as tf-idf vectorization and machine learning algorithms like naive bayes and logistic regression for classifications. Integrated with Streamlit to create an interactive web app where users can input a message and instantly check if it's spam or not.

eda machine-learning-models nltk numpy pandas plotly python seaborn streamlit

Last synced: 07 Apr 2026

https://github.com/qanastek/parseur-pdf

https://trello.com/b/SbT2XGyF/g%C3%A9nie-logiciel-scrum

beautifulsoup4 numpy python

Last synced: 15 May 2026

https://github.com/memgonzales/order-brushing-shopee2020

Solution to the Week 1 Contest (Student Category) of the 2020 Shopee Code League on order brushing detection

data-analytics e-commerce fraud-detection jupyter-notebook numpy order-brushing pandas python rule-based

Last synced: 11 Apr 2026

https://github.com/omarnahhass/crypto-cast

CryptoCast is a machine learning-powered tool that showcases three fundamental prediction models for forecasting cryptocurrency prices

cryptocurrency machine-learning numpy pandas python

Last synced: 05 May 2026

https://github.com/pramodyasahan/custom-image-classification-model

This repository hosts a TensorFlow-based custom image classification model. The model is designed to classify images into binary classes, labeled as 'Happy' and 'Sad'.

computer-vision convolutional-neural-networks cv2 keras matplotlib numpy tensorflow

Last synced: 11 Apr 2026

https://github.com/elmezianech/email-spam-ham-classifier-lr

Email Classifier: A machine learning project using Python that categorizes emails into spam and ham (non-spam). Utilizes the Scikit-Learn library, employing logistic regression and TF-IDF (Term Frequency-Inverse Document Frequency) vectorization for text analysis and classification.

ai emails jupyter-notebook logistic-regression machine-learning ml numpy pandas python spam-detection spam-filtering tfidfvectorizer

Last synced: 09 Apr 2026

https://github.com/sagravela/plotground

Plotting Tool with Matplotlib and Tkinter. Video Demo:

matplotlib numpy python tkinter

Last synced: 19 May 2026

https://github.com/manshreet27/mrs

This Movie Recommendation System is a web-based application built using Python and Streamlit, designed to provide movie recommendations based on user preferences. It utilizes TMDb API for fetching real-time movie details and Kaggle's TMDB 5000 Movies dataset for content-based filtering.

numpy pandas python scikit-learn streamlit tmdb-5000-movies-dataset-from-kaggle tmdb-api-for-fetching-real-time-movie-data

Last synced: 07 Apr 2026

https://github.com/martinkersner/kmeans-meetup

Presentation about k-Means for Seoul AI Meetup on July 22, 2017.

kmeans numpy python scikit-learn

Last synced: 03 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: 08 Apr 2026

https://github.com/chandkund/recipe-recommendations

The Recipe Recommendations project leverages natural language processing (NLP) techniques to process recipe descriptions and classify them into categories like desserts, main courses, and more. The system provides personalized recommendations by analyzing the text input and suggesting relevant recipes.

embeddings matplotlib nlp numpy pandas softmax tensorflow

Last synced: 06 Apr 2026

https://github.com/shekharkram/project

A collection of data analytics projects showcasing skills in data cleaning, exploration, visualization, and basic SQL queries. Designed to demonstrate entry-level data analyst competencies using real-world datasets and tools.

datacleaning excel jupyter-notebook mysql numpy pandas postgresql python sql

Last synced: 07 Apr 2026

https://github.com/mustafadanabasi/python-linearregression-evfiyatlari

Ev Fiyatlarını Linear Regrasyon ile tahminleme çalışması.

linear-regression numpy pandas python

Last synced: 06 Apr 2026

https://github.com/ahmedabdalkreem/preprocessing

All you need to be dataset ready to work in model without any Noise.

numpy pandas python3

Last synced: 07 Apr 2026

https://github.com/ashishsingh789/customer_purchase_prediction_using_decision-tree-_classifier

Decision Tree Classifier to predict customer purchases using demographic and behavioral data. Key steps: data preprocessing, EDA, model training, evaluation, and feature importance analysis.

data datascience desiciontree eda machine-learning-algorithms matplotlib numpy pandas-dataframe python seaborn

Last synced: 11 Apr 2026

https://github.com/hariprasath-v/machinehack-odetocode_predicting_weather_using_alien_fruit_properties

Identify the type of climate the exoplanet has based on the properties of the fruit by using machine learning.

catboost machine-learning matplotlib numpy pandas seaborn shap sklearn

Last synced: 11 Apr 2026

https://github.com/ashwathdazur/understanding-ds-using-python

Python NumPy, Pandas, Matplotlib and Seaborn for Data Analysis, Data Science and ML. Pre-machine learning Analysis.

data-science dataanalysis matplotlib numpy panda python3

Last synced: 19 May 2026

https://github.com/abhijeet107/household-transactions-analysis-report

This project analyzes household financial transactions spanning from 2015 to 2018, focusing on income, expenses, net savings, and spending patterns across categories and modes of payment.

matplotlib numpy pandas powerbi python seborn

Last synced: 11 Apr 2026

https://github.com/franciscomartinez45/Social-Network-Analysis

Applied to analyze how misinformation propagates within communities. With the goal of addressing health disparities and improving health literacy particularly in minority populations, the project explores both supervised and unsupervised learning approaches to understand patterns in graph-structured data using a custom Graph Attention Network

matplotlib ml networkx numpy pytorch

Last synced: 11 Apr 2025

https://github.com/schmitzandrew/math_in_python

Math Functions in Python

math numpy python

Last synced: 19 May 2026

https://github.com/yashika-malhotra/machine-learning---linear-regression-on-education-institute

In this analysis, I built a model to predict graduate admissions using Linear, Ridge, Lasso, and ElasticNet regressions. CGPA, GRE, and TOEFL scores emerged as key predictors. ElasticNet effectively handled multicollinearity and balanced L1 and L2 regularization.

linear-models linear-regression matplotlib normalization numpy pandas python seaborn sklearn sklearn-library standardization standardscaler statsmodels

Last synced: 20 Jan 2026

https://github.com/paulbrenker/decision-tsp

Scripts from a university data analysis project to approximate the decision tsp problem using heuristics and machine learning

data-science machine-learning numpy poetry python

Last synced: 26 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
NumPy Categories
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 51 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 35 Videos 34 🎲 Statistics & Probability 34 Web 33