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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/arnoldchrisoduor1/potato_disease

Trained a CNN to detect the presence and the current stage of Blight disease in potatoes, WebApp in FastAPI and React

fastapi keras numpy react serving-tensors tensorflow

Last synced: 04 Apr 2026

https://github.com/bvsam/nnfs

Basic neural network built using Python and Numpy. Created to better understand neural networks.

artificial-intelligence deep-learning machine-learning neural-network neural-networks numpy python3

Last synced: 18 Apr 2026

https://github.com/kasraskari/python-for-data-science

Foundational concepts and libraries for data science with Python.

data-science jupyter-notebook matplotlib numpy pandas python scipy

Last synced: 04 Apr 2026

https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation

An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.

clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn

Last synced: 04 Apr 2026

https://github.com/abdul-rafay19/california-housing-price-prediction

This project predicts California housing prices using machine learning regression models, including Random Forests and Decision Trees. It covers data preprocessing, exploratory analysis, model training, and hyperparameter tuning to optimize performance.

decision-trees gridsearchcv linear-regression matplotlib numpy pandas python random-forest randomsearch-cv scikit-learn scipy seaborn

Last synced: 04 Apr 2026

https://github.com/mnitin-reddy/a-b-testing-and-regression-analysis-for-ad-performance-optimization

Analyzed the performance of Facebook and AdWords ads using A/B testing and regression analysis to identify trends, correlations, and cost-effectiveness. Key insights included distribution of clicks and conversions, monthly trends, and cost-per-conversion analysis to optimize ROI.

abtesting data-science hypothesis-testing machine-learning matplotlib numpy pandas scikit-learn scipy seaborn statsmodels

Last synced: 04 Apr 2026

https://github.com/ccolpasm/pageviewanalyzer

PageViewAnalyzer analyzes and visualizes time series data of forum visits (2016-2019). It uses Pandas, Matplotlib, and Seaborn to create line plots, bar charts, and box plots, highlighting trends, monthly averages, and seasonality in page views. Perfect for data exploration with Python.

data-science matplotlib numpy pandas python

Last synced: 18 Apr 2026

https://github.com/sultanazhari/decisive-model-with-high-profit-potential-and-low-risk

OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.

accuracy-score chi2-contingency confusion-matrix logistic-regression matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn

Last synced: 18 Apr 2026

https://github.com/sundanc/weatherprediction

This project implements a weather prediction system that predicts the temperature based on real-time weather data, including features like humidity, wind speed, and day-related features (day of the week, month

machine-learning machinelearning numpy pandas programming python scikit-learn scikitlearn-machine-learning weather-prediction

Last synced: 18 Apr 2026

https://github.com/hariprasath-v/machinehack-analytics-olympiad-2022

Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.

catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap

Last synced: 18 Apr 2026

https://github.com/ricardorobledo/spamemailclassification

Spam email classification using machine learning (Random Forest, SVC, Logistic Regression, etc.) with data balancing techniques (SMOTE, BorderlineSMOTE, ADASYN). Final calibrated Random Forest model achieves ROC-AUC 0.982 and PR-AUC 0.979 on the Spam Email Classification dataset.

imbalanced-data imbalanced-learning numpy pandas python3 sklearn

Last synced: 05 Apr 2026

https://github.com/alezoon/movie-revenue-prediction

Sk-learn practice using Linear Regression, ML workflow practice.

jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 05 Apr 2026

https://github.com/dyceszn/i.duruohacos102

First-year deep dive into problem-solving with Python—featuring class practices and projects using NumPy, Pandas, Tkinter, and psycopg2.

numpy psycopg2 python tkinter

Last synced: 18 Apr 2026

https://github.com/iv4n-ga6l/titanic-survival-prediction

a predictive model in Python that answers the following question: “using data relating to passengers (name, age, gender, socio-economic class, etc.), who has the greatest chance to survive?"

matplotlib numpy pandas python seaborn sklearn

Last synced: 18 Apr 2026

https://github.com/ashithapallath/feature-engineering

This repository contains a range of examples and techniques for feature engineering, aimed at improving dataset quality and boosting model performance. It covers essential methods such as Exploratory Data Analysis (EDA) and Interquartile Range (IQR) analysis for detecting and handling outliers.

exploratory-data-analysis feature-engineering iqr-method matplotlib numpy outlier-detection pandas python seaborn

Last synced: 18 Apr 2026

https://github.com/manalisbhavsar/mall-customers-clustering

K-Means clustering to mall customer data, segmenting customers based on their annual income and spending score. To identify patterns and group customers for targeted marketing.

data-analysis data-visualization matplotlib numpy pandas python scikit-learn

Last synced: 18 Apr 2026

https://github.com/jigyasag18/iit-guhawati-final-capstone-project

Smart Dynamic Parking Price Optimization System that adjusts parking fees in real-time based on demand, traffic, and competition. It employs adaptive pricing models and rerouting logic to enhance parking utilization and reduce congestion. The system is visualized via an interactive Streamlit dashboard, enabling users to simulate dynamic pricing.

bokeh bokeh-server bokehplots capstone-project data dataset deployment machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot mlproject normalisation numpy pandas pathway python streamlit

Last synced: 05 Apr 2026

https://github.com/perpendicooler/elementary-research-for-steamboat-willie-s-store-in-poland

An elementary research for a company to opening store in a city using gurobi and pulp optimization.

christofides-algorithm gurobipy numpy pandas pulp python3 scikit-learn travelling-salesman-problem

Last synced: 05 Apr 2026

https://github.com/andres15alvarez/numericalcalculator

Calculator of roots of equations and system of linear algebraic equations.

numerical-methods numpy python scipy

Last synced: 05 Apr 2026

https://github.com/lorenzorottigni/ml-movies

Machine Learning python bootcamp: Recommender Systems on movies dataset

ipynb machine-learning numpy pandas python recommender-system scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/paulo-santos-ds/visao_computacional

O sistema utiliza inteligência artificial para analisar documentos e características físicas dos visitantes, garantindo que apenas maiores de 18 anos possam acessar as áreas de jogos

keras numpy pandas plotly python restnet50 sklearn tensorflow

Last synced: 05 Apr 2026

https://github.com/ahmaruff/kmeans-img-compress

Simple python image compression library using K-Means clustering

color-quantization image-compression image-processing kmeans kmeans-clustering numpy python

Last synced: 18 Apr 2026

https://github.com/znreza/paradoxes

Q-learning algorithm from scratch in python for optimal path finding

grid grid-search matrix numpy python qlearning-algorithm reinforcement-learning

Last synced: 18 Apr 2026

https://github.com/md-emranhossen/deep-learning-hub

Welcome to Deep Learning Playground, a personal repository for exploring and experimenting with deep learning concepts, architectures, and techniques. This repo serves as a hands-on space for implementing and understanding deep learning models, from fundamental neural networks to advanced architectures.

cnn-model deep-learning deeplearning gan generative-adversarial-network neaural-network numpy pandas pthon tensorflow

Last synced: 18 Apr 2026

https://github.com/linggarm/lvq-and-elm-with-iris-dataset

Implementation of Learning Vector Quantization (LVQ) and Extreme Learning Machine (ELM) with Iris Dataset

artificial-intelligence deep-learning elm extreme-learning-machine learning-vector-quantization lvq machine-learning numpy python soft-computing

Last synced: 18 Apr 2026

https://github.com/pedro-stanaka/dlnd-projects

Projects from Deep Learning Nanodegree from Udacity

artificial-neural-networks deep-learning machine-learning numpy python3

Last synced: 18 Apr 2026

https://github.com/autokmg/ai-foundations

Practice exercises related to the Foundations of Artificial Intelligence university course. The code examples are designed to help students gain a deeper understanding of these topics and to prepare for exams and assignments. The repository is open to contributions from other students.

numpy python

Last synced: 18 Apr 2026

https://github.com/mayankmittal29/criticalphenomena-exploring_phase_transitions_and_self-organized_criticality

A computational physics project exploring critical phenomena through percolation theory and the Bak-Tang-Wiesenfeld sandpile model.

criticality-c gif-animation jupyter-notebook matplotlib numpy percolation-theory python3 sandpile-model

Last synced: 18 Apr 2026

https://github.com/rhazra-003/modelinglab

Assignment - Solution of Modeling Lab of 7th Semester (Batch of 2023) of NIT Durgapur

jupyter-notebook matplotlib-pyplot numpy pandas python3 shapely

Last synced: 19 Apr 2026

https://github.com/aniket2021448/movie-recommender-system

A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis, NLP processing and ML, achieving the functionality of a Content based movie recommender system

data-exploration data-exploration-and-preprocessing free-hosting-service machine-learning natural-language-processing nltk-python numpy pandas streamlit-webapp

Last synced: 19 Apr 2026

https://github.com/codetun/wie-act-challenge-ai

Our AI model, integrated with the Defend Her extension, uses advanced natural language processing (NLP) to predict and identify offensive or harmful language in real-time 🧠💬🚫. By continuously analyzing content, it ensures accurate detection of bad words, enhancing the extension's ability to protect users and promote a safer online environment 🌐

colab csv jupiter-notebook kaggle nltk numpy pandas

Last synced: 19 Apr 2026

https://github.com/costopoulos/ntua-dsp

:signal_strength: NTUA ECE Digital Signal Processing Course Source Codes and Reports

dsp filters fourier-transform librosa numpy pywt scipy short-time-signal-analysis stft

Last synced: 19 Apr 2026

https://github.com/mariacarolinass/programacao-linear

Minimizando problemas matemáticos com Python e AMPL.

ampl numpy programacao-linear ufrn

Last synced: 19 Apr 2026

https://github.com/crazy-dot/zomato-data-analysis

This project analyzes 50k Bengaluru restaurants from Zomato, focusing on 17 features like location and ratings. It cleans, explores, and visualizes data to improve services. Key visualizations include delivery, booking, location, and cost. The goal is to provide insights for better customer experiences.

data-cleaning-and-preprocessing data-manipulation-with-pandas inferential-statistics kaggle-dataset numpy pandas-python python zomato-data-analysis

Last synced: 19 Apr 2026

https://github.com/renukadhule/airbnb_listings_and_reviews_python_analysis

Explore Airbnb listings and reviews from over 250,000 properties across 10 major cities. Dive into data on listing details, host information, pricing, and customer reviews for better insights

matplotlib-pyplot numpy pandas python seaborn

Last synced: 19 Apr 2026

https://github.com/gemmus/tictactoe-ai

Built with minimax algorithm, using pygame.

minimax-algorithm numpy oop pygame python tic-tac-toe

Last synced: 20 Apr 2026

https://github.com/vyjayanthipolapragada/car_mileage_prediction

Predicting the mileage of car using the linear regression model with Scikit-learn

kaggle-titanic linear-regression machine-learning numpy pandas predictive-modeling python scikit-learn

Last synced: 20 Apr 2026

https://github.com/prahaladhchandrahasan/housingprices_adavanced_regression

A machine learning model for "House Prices: Advanced Regression Techniques" kaggle competition.

machine-learning-algorithms matplotlib-pyplot numpy pandas python3 scikit-learn

Last synced: 20 Apr 2026

https://github.com/paulo-santos-ds/previsao_preco_carros

O objetivo é realizar predições em um aplicativo de vendas de carros. A qualidade e velocidade de predições é crucial para o negócio. O projeto utiliza dados históricos, especificações técnicas, versões de acabamento e preços.

lightgbm math matplotlib numpy pandas python time

Last synced: 20 Apr 2026

https://github.com/vtorres09/projetomonitoriaip

📋 Data analysis of a dataset created to select students to be teacher assistant (Introduction to Programming).

numpy object-oriented-programming pandas python

Last synced: 20 Apr 2026

https://github.com/mkhekare/bikesharing_ml

Provides insights into the bike sharing trends based on various factors such as time of day, season, and weather. The findings can be used to improve bike sharing services and understand user behavior.

matplotlib numpy numpy-library pandas seaborn

Last synced: 20 Apr 2026

https://github.com/prashhhant213/data_analysis_and_visualization-_for_streaming_platform

Data Analysis and Visualization for streaming platform to provide insights and recommendations to improve their userbase.

colab-notebook data datavisualization matplotlib numpy pandas python seaborn

Last synced: 20 Apr 2026

https://github.com/venkat-0706/air-drawing

A real-time hand gesture drawing app using Python, OpenCV, and MediaPipe to draw, erase, and switch colors on a canvas using finger gestures via webcam.

computer-vision hand-gesture-recognition mediapipe mediapipe-hands numpy opencv-python python realtime-object-tracker

Last synced: 20 Apr 2026

https://github.com/idanhoro/4-in-a-row

The board game 4 in a row with PyGame

4inarow game numpy pygame python

Last synced: 20 Apr 2026

https://github.com/souvikmajumder26/neural-network-from-scratch

🚀 Building a simple Neural Network to classify the images of the Fashion-MNIST dataset, using only numpy and no TensorFlow, Keras, or PyTorch.

config fashion-mnist logger neural-network neural-network-from-scratch notebook-jupyter numpy project python

Last synced: 21 Apr 2026

https://github.com/danpoynor/pet-shelter-data-analysis-notebook

Demonstration of skills analyzing data from a pet shelter. The CSV data contains tables detailing the incoming and outgoing animals and I use my knowledge of Pandas to gather and present the requested information.

csv data-analysis data-cleaning data-science jupyter-notebook matplotlib numpy pandas pet-shelter tabular-data

Last synced: 21 Apr 2026

https://github.com/star2dust/numpy-notes

A tutorial to learn numpy and matplotlib.

matplotlib numpy tutorial

Last synced: 16 Jun 2026

https://github.com/mohammed-majid/image-classification-nn

Image classification using custom Neural Network (No ML packages)

custom multiclass-classification neural-network numpy

Last synced: 22 Apr 2026

https://github.com/syedsaadahmed/playing-with-pandas-numpy-matplotlib

Practicing pandas, matplotlib and numpy for different data-sets, practicng these libraries and putting all the bit here in this repository

jupyter-notebook matplotlib numpy pandas pandas-numpy-matplotlib python3

Last synced: 05 Jun 2026

https://github.com/ahmad-ali-rafique/numpy-mastery-notebook

Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.

dataanalytics numpy numpy-arrays numpy-exercises numpy-library numpy-python

Last synced: 24 Apr 2026

https://github.com/theroyakash/shallow_neural_network

Design of an one hidden layer neural network using numpy only,

neural-networks numpy shallow-neural-network

Last synced: 24 Apr 2026

https://github.com/alepheleven/neuralnet

Neural Network library in NumPy✨

neural-network numpy

Last synced: 24 Apr 2026

https://github.com/haranrk/linear-regression

Implemented Linear Regression and some of it's variants

machine-learning matplotlib numpy python python3

Last synced: 24 Apr 2026

https://github.com/redinfinitypro/pygamecicruit

Rating: (6/10) The code combines a Pygame GUI application with a PySpice circuit simulation, providing a user-friendly interface with buttons, menu options, dropdown menus, input boxes, sliders, and text elements.

matplotlib numpy os pygame pyspice random sys

Last synced: 24 Apr 2026

https://github.com/pawpaw2022/proj03-math-painting

An app that lets the user provide the start coordinates of geometrical shapes such as squares and rectangles, their dimensions, and their colors, and the program produces an image file canvas with all the geometrical shapes drawn in it. (Click the link below to see the demo)

numpy pillow python

Last synced: 24 Apr 2026

https://github.com/nightmachinery/mlp_from_scratch

A simple MLP using only numpy. The computational graph is not automatically tracked, but the network supports arbitrarily many batch axes.

deep-learning deep-neural-networks deeplearning educational mlp mlp-classifier mlp-networks numpy

Last synced: 25 Apr 2026

https://github.com/mattjudge/numpy_caching

Provides a method to cache the results from functions (typically numpy-based) in persistent storage

cache numpy

Last synced: 25 Apr 2026

https://github.com/timothyjan/cartoonify-image-opencv

Application that transforms images into its cartoon using Python, OpenCV(cv2), easyguy, numpy, imageio, and tkinter.

easygui imageio numpy opencv2 tkinter

Last synced: 25 Apr 2026

https://github.com/davewhit3/bill-detector

Bill detection. Usage OCR algorithm to read content

ai numpy ocr-recognition python3

Last synced: 26 Apr 2026

https://github.com/prathush-kumar/fake_news_detection

Developed an intelligent system to identify and classify fake news articles using Natural Language Processing (NLP) and Machine Learning techniques.

classification machine-learning natural-language-processing numpy pandas sklearn-library

Last synced: 26 Apr 2026

https://github.com/m-k-l-s/sudoku

A trivial sudoku solver in Python, using recursion and numpy.

backtracking numpy python recursion solver sudoku

Last synced: 27 Apr 2026

https://github.com/hinanohart/dostosim

Dostoevskian agent-based simulation: seven literary archetypes as a unified reward decomposition. Anti-optimisation, dignity-as-utility, ideological cascade, gambler-ruin — pre-registered H1-H4 with bootstrap CI / BH-FDR / Cliff's delta.

abm agent-based-modeling behavioral-economics bootstrap-ci computational-social-science dostoevsky literature networkx numpy python reproducible-research

Last synced: 27 Apr 2026

https://github.com/josttim/timelined_array

Manage easily 1 or multidimensionnal samples numpy arrays that are time related. Extends numpy without removing any of it's abilities on such arrays.

numpy python time-series-analysis

Last synced: 27 Apr 2026

https://github.com/ydon96/versions-unveiled-the-evolution-of-nsa

Detection of Alzheimer's disease through the implementation of improved NSA algorithms

nsa numpy pandas python3 sklearn

Last synced: 27 Apr 2026

https://github.com/nyx1311/timelstm

TimeLSTM: An interactive Streamlit app for multi-step time series forecasting using LSTM networks, featuring data preprocessing, visualization, GPU-accelerated model training, and automated result export.

deep-learning deep-neural-networks lstm-neural-networks numpy pandas ploty python3 scikit-learn-python statsmodels streamlit torch tqdm

Last synced: 27 Apr 2026

https://github.com/brendandasilva/applieddatascience

4 projects from Applied Data Science

data-science numpy pandas python

Last synced: 27 Apr 2026

https://github.com/crispengari/netflix-statistics

This is the visualisation of two categories of netflix movies which are: * movies * tv shows

data-science datafram jupyter-notebook matplotlib numpy pandas python

Last synced: 27 Apr 2026

https://github.com/lupin3000/tello-python

Python application to control the DJI Tello Drone with different controllers.

debian dji-sdk djitellopy drone dualsense-controller evdev hidapi macos numpy opencv python stadia-controller tello unihiker

Last synced: 27 Apr 2026

https://github.com/saptarshi11/diamlp---diabetes-classification-with-multilayer-perceptron

Diabetes Classification using Multilayer Perceptron (MLP) is a binary classification problem where the goal is to predict whether a patient has diabetes (positive class) or not (negative class) based on a set of biomedical features or risk factors.

artificial-neural-networks binaryclassification machine-learning mlp-classifier numpy seaborn

Last synced: 27 Apr 2026

https://github.com/beyza-ozben/fft_ses_temizleme

BİL314-Sinyaller ve Sistemler Dersi/Final Projesi (Fourier Dönüşümü)

audio-denoising conda-environment fastfouriertransform fft librosa matplotlib noisereduce numpy python scipy-library soundfile

Last synced: 27 Apr 2026

https://github.com/erikbavenstrand/neural-network-implementation

An Artificial Neural Network Implementation in Numpy to work with MNIST dataset.

ai feedforward-neural-network machine-learning mnist neural-network numpy python

Last synced: 27 Apr 2026

https://github.com/moonmoonsamal/data-driven-google-ads-for-listing-sites-analysis

Analyzed Google Ads performance to identify top channels, keywords, and geographical impact

cleaning-dataset eda manipulation modelling numpy visualization

Last synced: 27 Apr 2026

https://github.com/vasukalariya/neural-network-from-scratch

It's a simple Feedforward Neural Network implemented just using Numpy

artificial-neural-networks classification mnist neural-network numpy

Last synced: 28 Apr 2026

https://github.com/tdeepa20/heart-disease-prediction-using-ml

Machine Learning models to predict heart disease using patient medical data

datascience jupyer-notebook machinelearning numpy python sklearn

Last synced: 28 Apr 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