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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/pereira-elizabeth/aah-2d-hermitian

Minimal 2D AAH model: build, diagonalize, and plot spectrum (NumPy/Matplotlib)

condensed-matter numpy physics scipy tight-binding

Last synced: 07 May 2026

https://github.com/aimin-nur/dataanalyst-cohortanalysis

Sebuah project Data Analayst untuk mengetahui bagaimana pola pembelian pelanggan dalam periode waktu tertentu (Cohort Analysis)..

cohort-analysis numpy pandas pytz

Last synced: 07 May 2026

https://github.com/prajakta1321/exoplanet-atmospheric-characterization-1

A machine learning project to classify exoplanets using light curve image data. Developed as part of the ML4SCI GSoC 2025 Test Task. Includes data processing, CNN-based model, and full report.

classification colab-notebook dbscan gsoc-2025 machine-learning-algorithms matplotlib-python ml numpy open-source pca-analysis python3 seaborn

Last synced: 07 May 2026

https://github.com/isabelacaldeira/plongee

Here is a program that we made using Python and Jupyter Notebook used to solve a physic problem about diving

jupyter-notebook matplotlib numpy physics python university university-project

Last synced: 08 May 2026

https://github.com/r-mahesh45/reccomendation-system

This project involves building a recommender system using cosine similarity to measure the similarity between items or users. It leverages numerical data to provide personalized recommendations. The model focuses on extracting meaningful insights and improving decision-making processes.

numpy pandas-dataframe python3 scikitlearn-machine-learning

Last synced: 07 May 2026

https://github.com/tinaland101/carcinoma-regression-project

The goal of this project is to analyze and visualize the results of a clinical study involving the treatment of squamous cell carcinoma (SCC) in mice. As a senior data analyst, you are tasked with preparing a technical report for Pymaceuticals, Inc.

linear-regression mathplotlib numpy pandas pyhton

Last synced: 08 May 2026

https://github.com/azaz9026/python_library_numpy

NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices...

array jupyter-notebooks numpy python3

Last synced: 08 May 2026

https://github.com/gama1903/digital_image_processing

Implementation of Basic Algorithms of Digital Image Processing mainly through Numpy.

digital-image-processing numpy opencv python

Last synced: 08 May 2026

https://github.com/alain-godo/spotify-popularity

A simple analysis and modeling for prediction of the popularity of songs on Spotify

linear-regression machine-learning numpy pandas random-forest sckiit-learn spotify tree-decision

Last synced: 08 May 2026

https://github.com/octavioduarte/datascience

A repository with study notes on Data Science concepts, NumPy, pandas, and an introduction to statistics.

data-science jupyter-notebook numpy pandas

Last synced: 08 May 2026

https://github.com/niteshchawla/nc-walmart-casestudy

The Management team at Walmart Inc. wants to analyze the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business make better decisions. They want to understand if the spending habits differ between male and female customers:.

central-limit-theorem confidence-intervals matplotlib-pyplot numpy pandas python scipy-stats seaborn stats

Last synced: 08 May 2026

https://github.com/himanshugoyal77/movie-recommendation

Cosine similarity based Recommendation Engine

nltk numpy pandas requests-library-python tmdb-api vectorization

Last synced: 08 May 2026

https://github.com/antonio-f/simple-k-nearest-neighbors

Simple K-Nearest Neighbors using partial sort

101 k-nearest-neighbors knn numpy partial-sort python tutorial

Last synced: 08 May 2026

https://github.com/sahil210695/numpy-basics

A brief overview of NumPy basics

data-science numpy numpy-tutorial python

Last synced: 08 May 2026

https://github.com/sunnyrao07/water-quality-analysis

A machine learning project that predicts water potability based on chemical and physical attributes, using models like Logistic Regression, Random Forest, and XGBoost.

data-cleaning label-encoding logistic-regression matplotlib model-evaluation numpy pandas pyhton random-forest sckiit-learn seaborn smote standard-scaler xgboost

Last synced: 08 May 2026

https://github.com/samaalharbi2/100-days-of-code

This repository is a collection of 100 Python projects built as part of the "100 Days of Code: Python Developer Challenge" course.

data-science game-development machine-learning numpy pandas python udemy

Last synced: 08 May 2026

https://github.com/chdl17/credit-eda-casestudy

Credit EDA is a GitHub repository designed to provide educational materials and tools for exploring credit risk data. The repository contains notebooks, datasets, and code samples to help users learn and apply these concepts to credit data.

exploratory-data-analysis numpy pandas

Last synced: 08 May 2026

https://github.com/mzayles/analise-descritiva.py

Curso Programação em Python para Data Science | Análise descritiva e mensuramento de dados de um report consolidado utilizando matplotlib.

matplotlib numpy pandas python

Last synced: 08 May 2026

https://github.com/nova-land/kalmanfilter-python

Kalman Filter in PyTorch and Numpy

kalman-filter numpy python pytorch

Last synced: 08 May 2026

https://github.com/icejan/predicton-systems

Various systems that train on data and generate a prediction

lightfm machine-learning numpy python scikit-learn

Last synced: 08 May 2026

https://github.com/ditikrushna/identify-customer-segments

In this project, Bertelsmann partners AZ Direct and Arvato Financial Solutions have provided two datasets one with demographic information about the people of Germany, and one with that same information for customers of a mail-order sales company. I have looked at relationships between demographics features, organized the population into clusters, and saw how prevalent customers are in each of the segments obtained.

clustering clustering-algorithm numpy pca

Last synced: 08 May 2026

https://github.com/diegodscamara/whisperlive

🎙️ WhisperLive: Real-time audio transcription powered by OpenAI's Whisper model. Convert live speech to text with high accuracy, supporting multiple languages and real-time processing. Perfect for accessibility, content creation, and live captioning.

ai blackhole numpy python wave whisper

Last synced: 09 May 2026

https://github.com/alejandrolara11/data-preprocessing

Data preprocessing through the use of the libraries NumPy and pandas.

data-analysis data-cleaning data-preprocessing numpy pandas python

Last synced: 09 May 2026

https://github.com/jsnevt/series_temporais

Previsão de eventos que ocorrem sazonalmente

datetime matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/jupfu/beck-view-digitalize

Digitalize 16mm films with Python & reactivex & FT232H

cython ft232h libpng multiprocessing numpy opencv python3 reactivex um232h

Last synced: 09 May 2026

https://github.com/kemalcalak/developing-driverless-vehicles

This project includes the software required for an autonomous vehicle

numpy object-detection opencv segmentation yolo

Last synced: 09 May 2026

https://github.com/mahmood-anaam/deterministic-dynamic-programming

This repository explores deterministic dynamic programming solutions for the Shortest Path Problem (SPP) and the Traveling Salesperson Problem (TSP). It includes graphical representations, a detailed Jupyter notebook, and practical implementations for optimizing travel routes and minimizing costs in various city-based scenarios.

dynamic-programming graph-theory jupyter-notebook numpy python shortest-path-problem traveling-salesperson-problem

Last synced: 09 May 2026

https://github.com/dhruvv1402/x-twitter-bot-python

A Python-powered Twitter bot for content generation, analytics, and automation using Twitter API v2.

huggingface-transformers matplotlib nltk numpy pandas pillow python requests schedule textblob threading tweepy twitter-api wordcloud

Last synced: 09 May 2026

https://github.com/kingsley-ezenwaka/mean-var-std

This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.

numpy python

Last synced: 09 May 2026

https://github.com/amr-yasser226/pagerank-power-method

Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑end code, and experimental validation.

discrete-mathematics graph-algorithms markov-chain network-analysis networks numpy pagerank power-method python scipy

Last synced: 09 May 2026

https://github.com/sivasurya681/financial-expense-tracker

The Financial Expense Tracker is a Python-based app built with Flet, Pandas, NumPy, and Matplotlib.pyplot for seamless expense management. It enables real-time tracking, categorization, and data visualization through bar and pie charts. Users can generate summaries, export/import data, and make informed financial decisions easily.

calculator-application differntial expense-tracker flet matplotlib-pyplot numpy pandas python salary-calculator total

Last synced: 09 May 2026

https://github.com/khaymanii/credit-card-fraud-detection-model

This model was built using python and Logistic Regression Machine Learning algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 09 May 2026

https://github.com/raduldev/datasciencepython

Interview Task From CSIR-IGIB, Delhi & maps for journal

biopython colab-notebook counter jupyter-notebook matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/betiniakarandut/portfolio-project

Sukkar and Cornell Integral Approach to Estimate Static Bottom Hole Pressure(SBHP)

numpy pandas python3

Last synced: 09 May 2026

https://github.com/vviveksharma/barcodescanner

The Bar Code scanning Application built using Computer Vision library such as Opencv in python the main objective of the project is to read the barcode that is being shown in the camera and decoding it and telling if the Database or Text file that is attached to it has that permitted decoded number if yes then it shows "Permitted" is green else "Not-Permitted" in red

numpy opencv python3

Last synced: 10 May 2026

https://github.com/esoltys/climate_data_viz

FastAPI-based web application that fetches and visualizes climate data from the Copernicus Climate Data Store (CDS).

apache-echarts copernicus-climate-data-store fastapi numpy

Last synced: 10 May 2026

https://github.com/prakashjha1/email-sms-spam-classifier

Many email services today provide spam filters that are able to classify emails into spam and non-spam email with high accuracy.

machine-learning natural-language-processing numpy pandas python

Last synced: 10 May 2026

https://github.com/m1-elmasry/quickmark

Efficient OMR software designed for quick and precise grading of bubble sheet exams.

bubble-sheet image-processing numpy opencv python

Last synced: 10 May 2026

https://github.com/jatin-s16/neuron_from_scratch

Hey! I am learning to build neural networks from scratch without the use of built-in Python libraries.

deep-learning neural-networks nnfs numpy python

Last synced: 10 May 2026

https://github.com/saagnik-mondal/chessengine

This is a simple and efficient chess engine implemented entirely in Python. It allows users to play chess against the computer, using an AI based on a Minimax algorithm with Alpha-Beta pruning for decision-making. The engine is designed to be easy to understand, extend, and play against the computer.

numpy pygame python3

Last synced: 10 May 2026

https://github.com/monarch1108/customerinsights-kmeans

understanding customers using KMeans and RFM(recency, frequency & monetary) analysis

data-analysis data-visualization kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn

Last synced: 11 May 2026

https://github.com/akashash01/decision_tree

A very specific type of probability tree that enables you to make a decision on certain process(chance event outcomes, resources cost, utility).

data-science decision-tree-classifier machine-learning numpy pandas-dataframe python sklearn

Last synced: 11 May 2026

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

Unlocking the magic of personalized movie recommendations! This project uses the Cosine Similarity Algorithm to suggest movies based on user-selected titles, making movie discovery more enjoyable.

cosine-similarity matplotlib nltk numpy pandas-python seaborn

Last synced: 12 May 2026

https://github.com/mituskillologies/dkte-da-mar25

Programs conducted at DKTE's Engineering Institute, Ichalkaranji in training on Python Data Analytics March 2025.

data-analysis matplotlib numpy pandas python-programming tkinter-python

Last synced: 13 May 2026

https://github.com/khushi130404/gradient_realm

Gradient_Realm is a Python project exploring regression techniques and optimization methods like Regularization, Batch, Stochastic, and Mini-batch Gradient Descent. It uses scikit-learn and custom implementations for hands-on learning.

batch-gradient-descent mini-batch-gradient-descent numpy stochastic-gradient-descent

Last synced: 14 Jun 2026

https://github.com/gsaini/streamlit-ui-getting-started

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes. Let's get started!

codecov github-actions numpy pandas python streamlit unittest

Last synced: 14 Jun 2026

https://github.com/pnguyen215/pycelize

Pycelize is a Flask application designed for processing Excel and CSV files. It provides RESTful APIs for common data operations including extraction, normalization, mapping, SQL generation, and file binding.

excel lib numpy openpyxl pandas py-app pycelize python-service python3

Last synced: 17 Jun 2026

https://github.com/williyam-m/sentiment_analysis

A Django-based Sentiment Analysis web app leveraging the power of the BERT transformer model to classify text sentiment accurately.

beautifulsoup bert django numpy pandas python torch transformers

Last synced: 20 Jun 2026

https://github.com/gerardomacedo/ml-from-scratch

Logistic regression from scratch (NumPy) with tests and CLI; compared vs scikit-learn

ci-cd from-scratch logistic-regresion machine-learning numpy python unittest

Last synced: 23 Jun 2026

https://github.com/lmlk-seal/pyspeed

Intelligent Python Performance Optimization Tool Automatically profile, analyze, and accelerate your Python code with minimal effort.

analyzer customtkinter gui intelligent numpy optimization optimization-tools performance python real-world-problem-solving

Last synced: 23 Jun 2026

https://github.com/hansalemaos/a_pandas_ex_split_on_common_char

Splits the elements in a Series using a common separator character and returns a DataFrame.

numexpr numpy pandas separator split string

Last synced: 14 Jan 2026

https://github.com/muhkartal/xai_dashboard

an interactive AI dashboard for machine learning model analysis and explainability, supports model training, dataset exploration, feature importance analysis, and SHAP-based explanations for both individual predictions and overall model behavior, compare multiple models, visualize insights, and export results seamlessly

joblib numpy pandas python sckit-learn shap streamlit xgboost

Last synced: 04 May 2026

https://github.com/shoaib1522/credit-card-fraud-analysis

"A comprehensive project on Credit Card Fraud Detection combining Exploratory Data Analysis, Machine Learning, and an interactive Streamlit web app for real-world applicability."

eda epochs mlp-classifier neural-network numpy pandas-python perceptron-learning-algorithm python regression sckiit-learn seaborn streamlit streamlit-webapp tensorflow

Last synced: 09 Apr 2026

https://github.com/kmkurn/text2array

Python library to convert text dataset into arrays.

deep-learning natural-language-processing neural-networks numpy

Last synced: 14 May 2026

https://github.com/mattmoony/ann_mnist

Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️

adam ann deep-learning learning-algorithm machine-learning ml mnist mnist-handwritten-digits momentum neural-net neural-network normalization numpy regularization relu sigmoid tanh

Last synced: 09 Apr 2026

https://github.com/amandeep-gupta19/chatbot

Created a custom chatbot using Langchain. Here's a summary of what I did: Data Extraction: I gathered data about technical courses from the Brainlox website using Langchain’s URL loaders. Embedding Creation & Storage: I converted this data into embeddings and stored it in a vector store for efficient searching. API Development: I built a Flask

data-extraction faiss-vector-database flask-restful langchain numpy scikit-learn vector-database webbaseloader

Last synced: 09 Apr 2026

https://github.com/niteshchawla/netflix-case-study

Analyze the data and generate insights that could help Netflix ijn deciding which type of shows/movies to produce and how they can grow the business in different countries

matplotlib numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/prithvi45/machine-learning-prerequisites

Basics to Advance concepts on Numpy, Pandas, Matplotlib

matplotlib numpy pandas python

Last synced: 09 Apr 2026

https://github.com/baranwaljii/data-science-projects

This Repository contains projects related to the domain of data science based on python and jupyter notebook

data-science jupyter-notebook machine-learning numpy pandas python

Last synced: 09 Apr 2026

https://github.com/ashraf-khabar/bank-marketing-data-analysis

This project is focused on analyzing bank marketing data using PyTorch, pandas, numpy, and scikit-learn. The goal is to build a predictive model that can help identify potential customers who are more likely to subscribe to a bank's term deposit.

data-cleaning data-science data-visualization dataset deep-learning deep-neural-networks feedforward-neural-network learning neural-networks numpy pandas python pytorch sklearn

Last synced: 09 Apr 2026

https://github.com/chandkund/loan-eligibility-prediction

This project is designed to predict the eligibility of loan applicants based on various factors such as income, credit history, and marital status. By analyzing historical loan application data, the model helps to determine whether a loan application should be approved or not.

data-analysis data-science data-visualization machine-learning-algorithms matplotlib numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/shailikadakia/yoga-pose-accuracy-detector

Real-time yoga pose accuracy detector using MediaPipe and OpenCV. Classifies poses from webcam input with KNN and provides feedback on duration and accuracy, built with Python and scikit-learn.

computer-vision fitness health-tech knn machine-learning mediapipe numpy opencv pandas pose-estimation python real-time-detection yoga

Last synced: 09 Apr 2026

https://github.com/abdullah-masood-05/eye-balll-detection

This repository provides advanced eye gaze tracking using MediaPipe Face Mesh for both video files and live camera feeds.

mediapipe numpy opencv scipy

Last synced: 10 Apr 2026

https://github.com/vuanhtuan1012/data-scientist-with-python

Notes on career track "Data Scientist with Python" at DataCamp

importing-data matlab numpy pandas python3 sqlalchemy

Last synced: 09 Apr 2026

https://github.com/harsha-yuvaraj/data-compression-and-decompression-tool

A specialized lossless file compression and decompression tool designed mainly for plain text, including programming files.

data-structures huffman-compression-algorithm lossless-compression-algorithm numpy python tkinter

Last synced: 15 Apr 2026

https://github.com/elam-parithi/singapore_flatprice_predicting

Flat price prediction with Machine learning tools and python.

matplotlib numpy pandas scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/jpgiant/nyc_energy_prediction

A comprehensive code for predicting energy usage in NYC using Machine Learning Algorithms.

data-analysis data-science data-visualization folium jupyter-notebook machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/izhaan0/predict-marks-based-on-study-hours

Student Marks Predictor is a machine learning project that predicts a student’s exam scores based on the number of study hours. It uses Linear Regression to learn the relationship between study hours and marks, and provides both command-line and interactive Streamlit web interfaces for prediction and visualization.

data-visualization joblib jupyter-notebook machine-learning machine-learning-algorithms matplotlib-pyplot numpy pandas pandas-dataframe pickle python scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/hanannazri/predictive-customer-churn-modelling-with-price-sensitivity-insights-

As a part of BCG Data Science Project, I developed a predictive churn-risk model for XYZ energy utility by engineering price, consumption and contract features and training XGBoost and Random Forest models to identify customers most likely to churn at current prices.

bcgx data-visualization exploratory-data-analysis feature-engineering jupyter jupyter-notebook model-training-and-evaluation numpy pandas random-forest scikit-learn xgboost

Last synced: 19 Aug 2025

https://github.com/erikaax08/numerical_methods

This repository hosts the project developed for the Numerical Methods class at the Benemérita Universidad Autónoma de Puebla (BUAP)

django maths matplotlib numerical-methods numpy plotly

Last synced: 19 Aug 2025

https://github.com/ialam085/super_store_sales_analysis_python

The project is indeed focused on performing an exploratory data analysis (EDA) of Super Store Sales data from various perspectives, using comprehensive visualizations.

charts matplotlib numpy pandas python seaborn visualization

Last synced: 10 Apr 2026

https://github.com/ksganni/diabetes-prediction-using-machine-learning

🔬 A machine learning project that predicts diabetes likelihood using patient health metrics and multiple classification algorithms.

jupyter-notebook matplotlib numpy pandas python scikitlearn-machine-learning seaborn

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