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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/ljubogdan/solar-cycle-lstm

This project predicts sunspot activity using an LSTM model for time series data. Built with TensorFlow and Keras, it uses Huber loss for outlier handling and MAE for performance evaluation. The dataset, sourced from Kaggle or SIDC, spans over 270 years of monthly sunspot data.

conv1d huber-loss-regression kaggle keras lstm machine matplotlib numpy pandas scikit-learn seaborn solar sunspots tensorflow time-ser

Last synced: 13 Apr 2026

https://github.com/fatihilhan42/lane-line-detection-with-python

In this project you will detect lane lines in images using Python and OpenCV. OpenCV means "Open-Source Computer Vision", which is a package that has many useful tools for analyzing images.

image-processing line-detection numpy opencv python

Last synced: 06 May 2026

https://github.com/sralter/potential_talents

Using NLP techniques (word and sentence embedding tools like SBERT and Learning-to-Rank systems like RankNet and LambdaRank) to rank candidates.

lambdarank learning-to-rank lightgbm matplotlib nlp numpy pandas python pytorch ranknet

Last synced: 09 Apr 2026

https://github.com/vandanac20/advanced-real-estate-valuation-with-ensemble-regression-models

Advanced Real Estate Valuation with Ensemble Regression Models

machine-learning numpy pandas python sklearn

Last synced: 06 May 2026

https://github.com/bartosz-ziolkowski/social_data

Data analysis of San Francisco's crime data set from 2003 to 2018

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

Last synced: 06 May 2026

https://github.com/raghavendra317/brain-tumor-detection

A deep learning-based project for classifying brain MRI images into Glioma, Meningioma, No Tumor, and Pituitary Tumor using Convolutional Neural Networks (CNNs). This project aims to assist in early tumor detection, improving diagnostic accuracy and healthcare outcomes.

cnn-classification keras numpy opencv scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/ieCecchetti/Python_ML_DL_examples

A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme

bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi

Last synced: 10 Mar 2025

https://github.com/gregoritsch3/exercise_pandas_1

A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib,

data-cleaning data-visualization descriptive-statistics matplotlib numpy pandas scipy sympy

Last synced: 12 Apr 2026

https://github.com/mjul/scipy-lab

Scientific computation with Python

matplotlib numpy python scipy

Last synced: 04 May 2026

https://github.com/nakshjainsonigara/football-eda

This EDA offers a comprehensive exploration of football analytics, leveraging Python libraries to analyze players, club games, and various other aspects of the sport. Through statistical analysis and visualization, we uncover insights into player performance, club strategies, and league dynamics providing valuable insights for football enthusiasts.

dash exploratory-data-analysis matplotlib numpy pandas plotly python scipy seaborn statistics

Last synced: 07 Jan 2026

https://github.com/cosmoquester/numpy-neural-net

This is neural network samples implemented with numpy without machine learning libraries.

implementation neural-network numpy

Last synced: 22 Jan 2026

https://github.com/soumyapro/heart-disease-prediction

This project is aimed at predicting the likelihood of coronary heart disease (CHD) in individuals over the next ten years using Logistic Regression.

logistic-regression numpy pandas simpleimputer sklearn

Last synced: 21 Jan 2026

https://github.com/m-rishab/job-recruitment-prediction-and-hr-dashboard-using-plotly

This project features make it ideal for dynamic HR dashboards, offering insights into candidate profiles and recruitment processes.

correlation-analysis flask kmeans-clustering numpy pandas plotly python scikit-learn seaborn standardscaler

Last synced: 12 Apr 2026

https://github.com/chandkund/sentiment-analysis-using-nlp

This project focuses on Sentiment Analysis using the textual content from product reviews. The goal is to analyze user sentiments based on their written feedback, particularly focusing on the "reviewText" column in the dataset.

lemmatization matplotlib nlp nltk numpy pandas seaborn tokenization

Last synced: 31 Jan 2026

https://github.com/andrewzhoumq123/sci_graph_api

Generates different types of detailed plots for scientific data

fastapi h5py json matplotlib numpy pandas scipy

Last synced: 12 Apr 2026

https://github.com/ericchw/youth_discord_nlp_chatbot

A python AI chatbot with emotion detection model. Frontend using PHP, API using Flask and database using PostgreSQL. Collaborate with CyberYouth from SJS. @HKMU 2022-2023 FYP

ai bootstrap chatbot chinese-nlp docker emontion-detection flask jquery machine-learning nlp nlp-machine-learning nltk numpy pgsql php postgresql pycord torch transformers

Last synced: 21 Jan 2026

https://github.com/manikantasanjay/data_analysis_using_python_libraries_series

This Series contains Data Analysis projects performed on different Kaggle datasets and providing valuable insights into the data by making use of Python libraries.

exploratory-data-analysis kaggle-datasets machine-learning matplotlib numpy opendatasets pandas python visualization

Last synced: 12 Apr 2026

https://github.com/fanisgl/cnn_machine_learning

A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.

data-science keras machine-learning neural-networks numpy pandas pooling-layers relu softmax tensorflow2

Last synced: 24 Feb 2026

https://github.com/sharif-minhaz/rag-system

Ingest and vectorize content upon publication, store embedding, then retrieve and augment user queries with context to generate high-quality responses.

faiss flask mysql2 nodejs numpy rag react transformers

Last synced: 14 Apr 2026

https://github.com/saivarun2611/potato_disease_classifier

This project is a Potato Disease Classifier that uses a Convolutional Neural Network (CNN) to classify potato leaves as healthy, suffering from early blight, or late blight. The model helps in early detection of diseases, which can be crucial in maintaining crop health and yield.

cnn keras matplotlib numpy pandas python3 tensorflow

Last synced: 14 Apr 2026

https://github.com/otuemre/housepricingml

A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.

eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression

Last synced: 13 Apr 2026

https://github.com/alejoduarte23/bs6472

Serviceability assessment as per BS 6472 for human exposure to vibration in buildings Vibration sources other than blasting

matplotlib numpy pydantic scipy

Last synced: 07 Jan 2026

https://github.com/jayanthpotluri5513/heart-disease-prediction-using-ml

This project aims to develop a machine learning model for heart disease prediction, leveraging the potential of advanced algorithms and a comprehensive dataset.

machine-learning matplotlib numpy pandas python

Last synced: 06 May 2026

https://github.com/juzershakir/predicting_boston_housing_prices

Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

bias-variance boston-housing-price-prediction data-exploration decision-tree-regression gridsearchcv k-fold machine-learning matplotlib mlfnd model-evaluation model-validation numpy pandas python3 r2-score sklearn supervised-learning udacity-nanodegree

Last synced: 22 Oct 2025

https://github.com/prarthana-singh/potato-disease-classification-using-deep-learning

🌱 Potato Disease Classification using Deep Learning – A deep learning-based model to detect and classify potato plant diseases using image processing and CNNs. Built with TensorFlow/Keras & Python.

agriculture cnn deep-learning image-classification keras machine-learning neural-network numpy pandas plant-disease-detection python3 streaming tensorflow

Last synced: 12 Apr 2026

https://github.com/akashkg03/feynn-labs-internship

This repository contains the projects I did as a Data Science intern with Feynn Labs.

data-science machine-learning matplotlib numpy pandas python scipy seaborn

Last synced: 07 Jan 2026

https://github.com/iaroslavbelavskii/statkemapp

Here's the code for my 'StatKemApp' app, that can be used to calculate statistics for the experimental laboratory data (e.g. titration). Feel free to use it and report any bugs!

chemical-engineering chemistry matplotlib-pyplot numpy pandas python scipy

Last synced: 11 Apr 2026

https://github.com/hariprasath-v/av-job-a-thon-november-2022

Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.

exploratory-data-analysis kaggle lightgbm-regressor matplotlib numpy pandas python rmse-score seaborn sklearn statsmodels timeseries-forecasting

Last synced: 12 Apr 2026

https://github.com/sonatipek/matris_transactions_py

My "Python Programlama-I" lesson's homework. Some matris transactions with numpy library in Python

matrix numpy numpy-arrays python sonatipek

Last synced: 24 Mar 2025

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

The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.

matplotlib numpy python scikit-learn tensorflow

Last synced: 16 Apr 2026

https://github.com/hifly81/photox

photo and album organizer for gtk3

gtk3 numpy opencv-python photography pil pillow python

Last synced: 24 Oct 2025

https://github.com/kostadinlambov/bitcoin-and-stock-market-correlation

This study uses a quantitative research design to analyze the relationship between Bitcoin prices and the stock market over the past five years with the S&P 500 Index serving as a proxy for the stock market.

bitcoin data-science jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-stats seaborn sp500-data-analysis

Last synced: 09 Apr 2026

https://github.com/bilgenurbekar/turkishcyberbullying

Contains fine-tuned BERT models and results in the text classification category using Turkish social media data

bert-fine-tuning huggingface-transformers matplotlib numpy pandas python pytorch scikit-learn transformers

Last synced: 07 Mar 2026

https://github.com/harmanveer-2546/student-performance-in-exam

Student performance analysis and prediction using datasets has become an essential component of modern education systems. With the increasing availability of data on student, schools and universities are using advanced analytics and machine learning algorithms to gain insights into student performance and predict future outcomes.

classification-report cluster dbscan dimensionality-reduction k-means-clustering labelling linear-regression logistic-regression numpy pandas pre-processing random-forest-classifier test-train-split unsupervised-machine-learning visualization

Last synced: 06 May 2026

https://github.com/atul-maurya-30/galaxy

Galaxy Classification is a machine learning project focused on classifying galaxies into two subclasses: 'STARFORMING' and 'STARBURST'. This project demonstrates data preprocessing, model training, and evaluation using advanced machine learning techniques and Python libraries.

flask machine-learning matplotlib numpy pandas python regression-classification seaborn sklearn

Last synced: 09 Mar 2026

https://github.com/satyacoder29/crm-analytics-power-bi

CRM Analytics Dashboard – An interactive dashboard using Tableau, SQL, and Salesforce CRM Analytics (CRMA) to analyze sales performance, customer segmentation, and churn prediction. Features automated ETL pipelines, predictive analytics, and real-time insights for data-driven decision-making. 🚀📊

advanced-excel data-analysis data-cleaning data-collection data-transformation data-visualization matplotlib numpy pandas powerbi python seaborn sql tableau

Last synced: 14 Apr 2026

https://github.com/amiriiw/text_classification

Welcome to the Text Classification Project! This project is designed to train a model for classifying texts based on their emotional content and then using it to categorize new texts into corresponding emotional categories.

keras numpy pandas pickle scikit-learn tensorflow text-classification

Last synced: 20 Jan 2026

https://github.com/bhushan148/ipl-stats-analysis

This project explores IPL data to show team and player performances. 📈 Key highlights include analyzing match results, highest scores, and performance at different venues. 🏟️ It uses charts to reveal trends like win margins and average scores by venue. 📉 Discover important insights into what affects match outcomes and team success.

jupyter-notebook markdown matplotlib-pyplot numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/luliatuccu/weather_analysis

This project highlights a combination of data science techniques and Python programming to explore real-world weather data.

data-preprocessing eda feature-engineering machine-learning matplotlib numpy pandas regex scikit-learn seab seaborn weather weather-patterns

Last synced: 02 Apr 2026

https://github.com/yashaka/learncv

Toolset used in learning Computer Vision at R_D course

cv numpy opencv utitlities

Last synced: 14 Apr 2026

https://github.com/huzaifa12466/neuralnetscratch

A simple neural network implemented from scratch in Python using NumPy, trained on the Moons dataset

artificial-intelligence artificial-neural-networks backpropagation deep-learning forwardpropagation machine-learning matplotlib neural-network neural-networks numpy

Last synced: 23 Jun 2026

https://github.com/abdulrahmanaymann/data-storage-and-information-retrieval

This is a Python project that performs tokenization, stop word removal, positional indexing, phrase query searching, term frequency-inverse document frequency (TF-IDF) calculation, cosine similarity computation, and document ranking.

cosine-similarity information-retrieval nltk numpy pandas postional-index python ranking stop-word-removal tf-idf tokenization

Last synced: 06 May 2026

https://github.com/manuel-lang/numpymongo

A python package to export NumPy data to MongoDB

mongodb numpy wrapper

Last synced: 23 Feb 2026

https://github.com/miasanromen/math-modeling

Math modeling with Python. Statistics, math, graphics

math matplotlib numpy probality-theory scipy-stats statistics

Last synced: 14 Apr 2026

https://github.com/adriantomin/bulldozer-price-prediction

Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.

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

Last synced: 23 Jan 2026

https://github.com/jsd115/tensorflow_bankfrauddetection

This repository aims to provide examples of my ability to produce ML models using tensorflow and sklearn

numpy pandas sklearn tensorflow

Last synced: 06 Feb 2026

https://github.com/hafaio/homeotopy

A python library for computing homeomorphisms between some common continuous spaces

homeomorphism numpy

Last synced: 24 Feb 2026

https://github.com/rizkyrajitha/ann_101

A really simple neural network for binary classification written from scratch using python

jupyter-notebook numpy pandas

Last synced: 08 May 2026

https://github.com/fabricioarendtorres/streamauc

Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..

classification-model machine-learning metrics numpy precision-recall-curve receiver-operating-characteristic

Last synced: 06 Jan 2026

https://github.com/ggrbill/phd-plot-scripts

My personal plot scripts used to generate graphs for my PhD Thesis

hacktoberfest matplotlib numpy python

Last synced: 18 Apr 2026

https://github.com/lijesh010/employeeanalysis-

This is a simple data analysis project developed as part of my Entri Elevate Data Science and Machine Learning course. It serves as a practical demonstration of my skills in data analysis.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/aleksibovellan/ai-2048-game

AI Heuristics in Python for solving the 2048 Game

2048 2048-game 2048-solver ai expectimax game heuristics numba numpy python python3

Last synced: 06 May 2026

https://github.com/pushtogithub23/projectilemotion-simulation

This Jupyter notebook explores projectile motion through mathematics, visualizations, and interactive simulations.

jupyter-notebook matplotlib-pyplot numpy physics-simulation projectile-motion-simulation

Last synced: 28 Jan 2026

https://github.com/gusenov/max-empty-rect-py

:black_square_button: Реализация на Питоне алгоритма поиска на изображении пустого прямоугольника максимальной площади.

algorithm empty-spot graphics numpy python python-image-library python-library rectangle-detection

Last synced: 06 Feb 2026

https://github.com/nadahamdy217/movies-data-etl-using-python-gcp

Developed a comprehensive ETL pipeline for movie data using Python, Docker, and a GCP Pub/Sub emulator. Successfully processed and published the data in a local Docker environment, showcasing advanced data engineering skills.

analytics data data-engineering data-ingestion data-preparation data-preprocessing data-processing data-project docker etl etl-pipeline gcp matplotlib matplotlib-pyplot numpy pandas pubsub python scipy seaborn

Last synced: 06 Jan 2026

https://github.com/shimu-i/pythonmastery

Diving into Python essentials, libraries, and tricks to become an AI & ML pro. Coding, learning, and having fun while building the future!

numpy pandas python

Last synced: 07 May 2026

https://github.com/armahdavi/mlops

Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.

apache-beam docker fastapi logistic-regression mlops mlops-workflow numpy random-forest sklearn tensorflow-extended unicorn xgboost

Last synced: 12 Apr 2026

https://github.com/asut00/Machine-Learning-Program_42AI

Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.

linear-regression machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 27 Oct 2025

https://github.com/emhash/machine-learning-and-ai

Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.

ai datasets ipynb jupyter-notebook keras linear-regression logistic-regression machine-learning machine-learning-algorithms numpy opencv pandas python seaborn sklearn tensorflow

Last synced: 05 Jan 2026

https://github.com/jpcano/boston_housing

Predicting Boston Housing Prices using supervised Machine Learning algorithms

cross-validation machine-learning numpy pandas python regression-models scikit-learn

Last synced: 12 Apr 2026

https://github.com/gregoritsch3/project_radioactive_decay

An analytic ( system of coupled ODEs), numeric (Runge-Kutta 4, Newton-Raphson) and stochastic (Monte Carlo) treatment of the chained radioactive decay of Bi[210, 83] into Po[210,84], as well as the emission of alpha-particles. Associated comments and paper are in Croatian.

cplusplus matplotlib montecarlo-simulation numerical-methods numpy python radioactive-decay scipy

Last synced: 12 Apr 2026

https://github.com/harmanveer2546/heart

Predicting the presence of heart disease based on several health-related factors and Performing - i.) Data Cleaning ii.) Data Pre-Processing iii.) EDA iv.) Compare 5 different classification algorithms (Logistic Regression, Decision Tree, Random Forest, KNN and SVC)

data-preprocessing decision-tree eda knn logistic-regression machine-learning numpy pandas random-forest roc-auc-curve svc

Last synced: 03 May 2026

https://github.com/chandkund/pytorch

Foundational introduction to PyTorch, focusing on the basics of tensors, their creation, manipulation, and operations, which are essential for understanding and building deep learning models

classification computer-vision cuda-programming deep-learning loss-functions matplotlib numpy optimization pandas pyhton pytroch workflow

Last synced: 07 May 2026

https://github.com/ledsouza/python-powerbi

Desenvolver uma dashboard para análise do mercado financeiro utilizando Python e Power BI

etl matplotlib numpy pandas powerbi python seaborn

Last synced: 12 Apr 2026

https://github.com/sriyaroy/coding-challenges

50 Machine Learning & Computer Vision challenges ranging from Easy to Hard to sharpen you ML engineering skills.

coding-challenges computer-vision interview-prep machine-learning numpy python pytorch

Last synced: 07 May 2026

https://github.com/jaybfn/single-molecule-electrophysiology-data-analysis

Pynanopore serves as a sophisticated toolkit for analyzing single molecules, designed to interpret complex states within nanopore data automatically.

docker numpy pandas plotly pytest python3 streamlit streamlit-webapp

Last synced: 28 Jan 2026

https://github.com/andres29ac/website_heatmaprisk

Mapa hecho con Streamlit y Folium para mostrar la distribución delictiva de cada distrito de Trujillo mediante Mapas de Calor.

folium-maps heatmap-visualization numpy pandas ploty python stadistics streamlit

Last synced: 15 Apr 2026

https://github.com/guy1998/synthetic-data-generator-for-event-cameras

Automated workflow for the generation of synthetic data that can be used as an input for event cameras based on previously taken videos

computer-vision event-cameras numpy opencv synthetic-data

Last synced: 15 Apr 2026

https://github.com/sa001gar/password-manager-on-the-top-of-streamlit

Secure Password Manager is a Python-based application developed by Sagar Kundu, designed to provide users with a secure and convenient way to manage their passwords. With features like user authentication, password generation, and secure storage using bcrypt and MongoDB, it ensures the safety of sensitive information while offering an intuitive use

bcrypt gui-application mongodb numpy numpy-library pandas-dataframe pandas-library pandas-python password-generator password-manager pymongo python python3 streamlit-application streamlit-webapp urllib

Last synced: 15 Apr 2026

https://github.com/drsartoriuss/portfolio

Учебные проекты из Яндекс Практикума "Специалист по Data Science+"

catboost computer-vision data-science deeplearning mashinelearning matplotlib nlp-machine-learning numpy pandas scipy seaborn sklearn sql torch tsf

Last synced: 28 Jan 2026

https://github.com/lmizner/codecademy_life_expectancy_gdp

Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy

barplot jupyter-notebook lineplot matplotlib-pyplot numpy pandas python scatterplot seaborn

Last synced: 12 Apr 2026

https://github.com/apal21/tensorflow-linear-regression-fit-data

Fit a line passing through data with some random noise using Tensorflow linear regression with Gradient Descent Optimizer.

gradient-descent linear-regression numpy python3 tensorflow

Last synced: 12 Apr 2026

https://github.com/parth-jatav/super-store-analysis-project

The Super Store Analysis project leverages Python libraries such as pandas, matplotlib, and numpy to perform a comprehensive analysis of a retail store's data. This project includes data cleaning, visualization, and statistical analysis to identify key trends, optimize inventory, enhance decision-making processes for improved business performance.

data-analysis matplotlib numpy pandas python super-store

Last synced: 12 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
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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 51 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 35 Videos 34 🎲 Statistics & Probability 34 Web 33