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/thekartikeyamishra/voicecloner

The Voice Cloner is a Python-based project that leverages Tacotron 2 and WaveGlow models for text-to-speech (TTS) synthesis and basic voice cloning. This project supports 22 official Indian languages, including Sanskrit, making it versatile for multilingual text input.

ai indic-transliteration librosa machine-learning numpy nvidia-pyindex nvidia-tacotron2 nvidia-waveglow python torch torchaudio

Last synced: 03 Feb 2026

https://github.com/1-harshit/cs203-probabality-in-cs

Assignment submissions of the semester 2021-22-II of course CS203 at IIT Kanpur

numpy python

Last synced: 20 May 2026

https://github.com/miladsade96/numpy_and_algebra

Introduction to numpy and linear algebra

algebra linear-algebra matrices numpy tensor vectors

Last synced: 17 May 2026

https://github.com/aramshiva/boids

🦅 Artifical Swarm Intelligence

art boids generative math numpy pygame python swarm

Last synced: 20 May 2026

https://github.com/zaaim-halim/image-processing

an implementation of different filters and operations on images using Numpy and little help from OpenCV and PILL

contour-detection corner-detection edge-detection filters image-processing numpy python3

Last synced: 20 May 2026

https://github.com/devwithzain/tensorflow-learning

Learning Tensorflow

numpy tensorflow

Last synced: 19 May 2026

https://github.com/fractalyze/zk_dtypes

A NumPy dtype extension used in Zero Knowlege libraries

numpy zk

Last synced: 02 Jan 2026

https://github.com/its-maneeshk/fake-product-detection-system

The Fake Product Review Detection System is a machine learning-powered web application designed to analyze and detect fake reviews on eCommerce platforms. It helps users identify whether a product has genuine or manipulated reviews by leveraging Natural Language Processing (NLP) and supervised learning models.

api beautifulsoup4 fetch-api flask html-css-javascript joblib nlp-machine-learning numpy pandas python reactjs requests scikit-learn

Last synced: 05 Mar 2025

https://github.com/medyessinkhlif/medclaimml

An AI-powered machine learning application designed to process healthcare reimbursement claims. It analyzes medical documents, client information, insurance policies, and legal regulations to predict accurate reimbursement amounts, ensuring efficiency, compliance, and fraud detection.

healthcare jest-tests mern-stack mongodb nodejs nosql numpy pytorch react scikit-learn tailwindcss

Last synced: 13 May 2025

https://github.com/tabotcharlesbessong/recommendationframeworks

learning deep learning and machine learnint

matplotlib numpy os pandas pillow python3 pytorch

Last synced: 08 Apr 2026

https://github.com/virajbhutada/article-recommendation-system

This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.

anaconda article-recommendation clustering-algorithm data-analysis data-science keras-tensorflow machine-learning machine-learning-algorithms ml-models numpy pandas plotly python scikit-learn scipy

Last synced: 06 Jan 2026

https://github.com/florianwoelki/mnist_fashion_cnn

This is a classification problem based on the mnist fashion dataset. I've used a CNN to classify the images.

classifier cnn fashion keras mnist numpy pandas tensorflow

Last synced: 08 Apr 2026

https://github.com/earth-app/doc2lora

Generate LoRA Adapters from documents

ai cloudflare-ai cloudflare-workers lora numpy py python torch

Last synced: 16 May 2026

https://github.com/aisurjyasamantaray/customer-purchase-analysis

This project involves an in-depth analysis of customer purchasing behavior and sales performance to drive business insights and strategies.

customer-purchasing customer-segmentation data-visualization dataanalysis dataanalysis-projects marketing-insights matplotlib numpy pandas python revenue-and-performance-analysis seaborn-plots

Last synced: 09 Apr 2026

https://github.com/reddyprasade/bicycle-sharing-system-in-us

A bicycle-sharing system, public bicycle system, or bike-share scheme, is a service in which bicycles are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" and return it at another dock belonging to the same system. Docks are special bike racks that lock the bike, and only release it by computer control. The user enters payment information, and the computer unlocks a bike. The user returns the bike by placing it in the dock, which locks it in place. Other systems are dockless. For many systems, smartphone mapping apps show nearby available bikes and open docks.

dataanalysis jupyter maplotlib numpy pandas python r

Last synced: 29 Aug 2025

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

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

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

Last synced: 02 May 2026

https://github.com/savitar-hub/image-classification

Notebooks on how image classification can help businesses make better decisions and improve the customer experience.

image-classification image-processing jupyter-notebook numpy opencv pandas pytorch tensorflow

Last synced: 08 Apr 2026

https://github.com/shriram-vibhute/realestateforecast-price-prediction-system

This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.

exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn

Last synced: 07 Apr 2025

https://github.com/davityak03/animal-image-classification-using-cnn

Animal image classification using Convolutional Neural Networks (CNNs) involves training a model to recognize and categorize different animal species based on their images. The CNN architecture excels at automatically extracting features from images, such as shapes and textures, which are crucial for accurate classification.

cnn-classification keras numpy pandas pretrained-models python tensorflow

Last synced: 08 Apr 2026

https://github.com/anish202020/data-analysis-and-machine-learning-basic-programs

Basic programs on data analysis and machine learning for students. It includes a variety of tutorials, examples, and models to help students understand and apply these concepts.

keras matplotlib numpy pandas python sklearn tensorflow

Last synced: 08 Apr 2026

https://github.com/aneeshmurali-n/ml_bangalore_house_price_analysis

This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.

box-plot correlation data-distribution data-transformation exploratory-data-analysis heatmap histplot iqr-method log-transformation matplotlib numpy outlier-detection outlier-handling pandas percentile-method python scatter-plot scipy seaborn z-score-method

Last synced: 06 Jan 2026

https://github.com/dmarks84/ind_project_california-housing-data--kaggle

Independent Project - Kaggle Dataset-- I worked on the California Housing dataset, performing data cleaning and preparation; exploratory data analysis; feature engineering; regression model buildings; model evaluation.

cross-validation data-modeling data-reporting data-visualization eda folium grid-search matplotlib model-evaluation numpy pandas pca python seaborn sklearn statistics supervised-ml unsupervised-ml

Last synced: 08 Apr 2026

https://github.com/nehalmr/qiksit-fall-fest-hackathon-2024

The Qiskit Hackathon is a unique opportunity for students to dive into the fascinating world of quantum computing. Participants will collaborate in teams to tackle a series of challenging problems that test their creativity, problem-solving skills, and understanding of quantum algorithms. This hackathon aims to inspire innovation in QC.

cpython hackathon ibm ibm-qiskit ibm-quantum-challenge matplotlib numpy python python3 qbits qiskit qiskit-tutorial quantum-algorithms quantum-computing quantumcircuits quantumregister

Last synced: 11 May 2026

https://github.com/tristan296/deepplate

A custom-trained YOLOv11-based license plate detection with PaddleOCR for accurate ANPR.

cv2 numpy paddleocr sqlite3 ultralytics yolov11

Last synced: 04 Apr 2025

https://github.com/sourabh-kumar04/numpy-basic

Numpy-Basic is a structured learning repo covering NumPy from basics to advanced. It includes arrays, indexing, reshaping, filtering, vector ops, angle functions, stats, and .npy file handling. Each concept is explained with code, examples, and Matplotlib visualizations in both light and dark modes. Ideal for students and data learners.

data-analysis data-science data-visualization learning learning-resources machine-learning matplotlib numerical-computing numpy python python-library python-programming

Last synced: 10 May 2026

https://github.com/uhstray-io/pyrizon

Data Collection, Analysis, Mapping, Pipelining & Transformation, & API using Python

api data-engineering etl numpy pandas plotly python pytorch raw-data scikit-learn seaborne sql sqlite tensorflow

Last synced: 09 Apr 2026

https://github.com/msthamizh/singapore-resale-flat-prices-predicting

Developing a Streamlit application that allows users to interactively predict the resale prices of flats in Singapore using machine learning. The application supports regression tasks, enabling users to input various features, such as location, flat type, floor area, and lease start date, and receive predictions for resale prices.

exploratory-data-analysis machine-learning matplotlib numpy pandas python seaborn streamlit

Last synced: 09 Apr 2026

https://github.com/udityamerit/curafind-powered-by-ai

CuraFind AI is a web-based application leveraging Natural Language Processing (NLP) to intelligently recommend medicines. Users can search using symptoms, medicine names, or free-text descriptions, and receive suggestions along with brand substitutes for drugs

ai machine-learning nlp numpy pandas scikit-learn

Last synced: 18 Sep 2025

https://github.com/sumitgirwal/drinks-dataset-data-analysis

A drinks dataset from Kaggle. Applying analysis using Python, NumPy, Pandas, Matplotlib.

dataanalysis drinks-dataset kaggle matplotlib numpy pandas python3

Last synced: 13 Apr 2026

https://github.com/arpandatta011/facial_image_recognition

This project includes the introduction of the facial expression recognition and an investigation on the recent previous researches for extracting the effective and efficient method for facial expression recognition.

cv2 keras matplotlib numpy pandas tensorflow

Last synced: 09 Apr 2026

https://github.com/santiagoenriquega/custom_ensemble_learning

This repository focuses on building a random forest classifier and regressor as well as a gradient boosted regressor, building them from scratch using only NumPy for faster array processing.

numpy python python3 random-forest random-forest-classifier random-forest-regressor

Last synced: 15 May 2026

https://github.com/melihcanndemir/3d-fractal-explorer

Interactive 3D visualization tool for exploring the mesmerizing world of Mandelbrot and Julia fractals. Built with Python, OpenGL and PyQt5, offering real-time animation and intuitive controls.

3d-graphics complex-numbers computer-graphics data-visualization educational fractal graphics-programming interactive julia-set mandelbrot math-visualization mathematical-art mathematics numpy opengl pyqt pyqt5 python scientific-visualization visualization

Last synced: 30 Jul 2025

https://github.com/quantum-software-development/qiskit

qiskit circuits on IBM Quantum

numpy qbits-circuits quiskit

Last synced: 30 Jul 2025

https://github.com/nemeslaszlo/titanic-logistic-regression

This notebook covers a simple analysis with logistic regression on the popular titanic dataset.

cufflinks jupyter-notebook logistic-regression matplotlib numpy pandas plotly seaborn sklearn

Last synced: 09 Apr 2026

https://github.com/gourab-sinha/machine_learning

This repository consists of Machine Learning Concepts and Projects.

classification machine-learning neural-network numpy pandas sklearn-library

Last synced: 09 Apr 2026

https://github.com/ayaanjawaid/vizualite

Vizualite allows you to upload dataset and clearly view the attributes and allows you to create vizualizations, you can also download dataset.

matplotlib numpy pandas python3 streamlit

Last synced: 09 Apr 2026

https://github.com/kientech/calories-burnt-prediction-with-machine-learning

The Calories Burnt Prediction with Machine Learning project aims to predict the number of calories burned during physical activities based on various factors such as duration, activity type, age, weight, and more.

fastapi heroku machine-learning matplotlib-pyplot modeling numpy pandas python reactjs tailwindcss

Last synced: 02 Aug 2025

https://github.com/louis-finegan/convection-diffusion-models-finite-difference-method-python3

Applying the finite-difference method to the Convection Diffusion equation in python3. Examples included: One dimensional Heat equation, Transport equation, Fokker-Plank equation and some two dimensional examples.

convection-diffusion finite-difference-method fokker-planck-equation heat-equation jupyter-notebook mathematical-modelling matplotlib matplotlib-animation numpy python3 transport-equation

Last synced: 02 Aug 2025

https://github.com/nelsontanko/face-recogition-system

This is a student face recognition system for attendance taking. Built with Opencv, face_recognition, redis and Flask for the frontend

face-recognition flask numpy opencv python redis

Last synced: 09 Apr 2026

https://github.com/vortexv7/engagevision-yt

Thumbnail Engager is a Streamlit-based web app that uses AI to analyze YouTube thumbnails, providing actionable feedback to improve engagement. Upload a thumbnail to get insights on its strengths, weaknesses, and tips for maximizing views. Perfect for creators looking to optimize their visuals!

gcp numpy pandas python3 streamlit streamlit-cloud tensorflow youtubeapiv3

Last synced: 09 Apr 2026

https://github.com/shriram-vibhute/data-analysis

This repository offers a comprehensive collection of data analysis techniques using NumPy Pandas, Matplotlib and Seaborn.

data-aggregation data-analysis data-visualization data-wrangling matplotlib numpy pandas seaborn

Last synced: 02 Aug 2025

https://github.com/docsallover/spam-detection

Building a Spam Filter with Python: Using Machine Learning to Combat Spam

datascience flask jinja2 machine-learning numpy numpy-library pandas pandas-python python python3 scikit-learn

Last synced: 09 Apr 2026

https://github.com/theanujsinha01/customer-segmentation-using-k-means-clustering

This project focuses on customer segmentation using the K-Means clustering algorithm. A user-friendly Streamlit dashboard allows users to upload their own dataset, choose any two numeric features (like age, income, or spending score), and perform clustering. The app dynamically visualizes customer groups, recommends the best number of clusters

jupyter-notebook k-means-clustering machine-learning matplotlib numpy pandas python seaborn streamlit unsupervised-learning

Last synced: 09 Apr 2026

https://github.com/willprice/arsenal

Personal arsenal of python utilities

data-science machine-learning numpy pandas personal-tools python

Last synced: 09 Apr 2026

https://github.com/shreeparab1890/movie-recommender-system

This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.

bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization

Last synced: 09 Apr 2026

https://github.com/ankushmallick1100/Diabetes-Prediction-of-Females-using-Maching-Learning-Techniques

This is a machine learning project that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LRwith CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library. Paper is ongoing.

classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier

Last synced: 29 Sep 2025

https://github.com/RedInfinityPro/Laser-Strategy

Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.

math numpy pygame random sys time

Last synced: 30 Sep 2025

https://github.com/mariamabidi/pinn-based-flow-prediction

This repository contains code and experiments for predicting 3D aerodynamic flow around car geometries using Physics-Informed Neural Networks (PINNs) and for analyzing flow features via autoencoder-based clustering.

computer-vision machine-learning neural-network numpy pytorch pyvista scikit-learn

Last synced: 05 Aug 2025

https://github.com/edwardcdev/satellites-chart

A simple dashboard for satellites data statistics by displaying charts such as line-marker, histogram and box charts.

nodejs numpy pandas python

Last synced: 09 Apr 2026

https://github.com/cassiofb-dev/pandasscript

Pandas Script, uma lingaguem para visualizar e gerenciar dados.

compilers lexer numpy pandas parser python

Last synced: 09 Apr 2026

https://github.com/matheussc017/irisclassification_sklearn

Application of Machine Learning technique to classify 3 types of iris flower

data-science machine-learning numpy pandas python

Last synced: 09 Apr 2026

https://github.com/ankushmallick1100/django-insurance-premium-predictor-web-app

This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.

bootstrap bootstrap5 css django gradientboosting gradientboostingregressor html insurance-prediction insurance-premium-predictor machine-learning matplotlib numpy pandas python regression regression-models sklearn tailwind tailwind-css tailwindcss

Last synced: 09 Apr 2026

https://github.com/aymen016/film-recommendation-engine

A machine learning-powered movie recommender system designed to provide personalized recommendations based on user preferences and data analysis. This project includes a backend recommendation engine, a Streamlit-based interface, and a web-based frontend for an enhanced user experience.

flask numpy pandas pickle python scikit-learn streamlit

Last synced: 09 Apr 2026

https://github.com/aakashks/ct-reconstruction-2d

Python Implementation of Computed Tomography (CT) reconstruction for 2D images

computed-tomography ct-reconstruction numpy

Last synced: 09 Aug 2025

https://github.com/vedanty3/heart-disease-prediction

This project aims to build a machine learning model using K-Nearest Neighbor, LogisticRegression, RandomForestClassifier to classify whether or not a person has heart disease based upon his medical attributes. (accuracy achieved : 88.52%)

confusion-matrix correlation-matrices jupyter-notebook knn-classification logistic-regression machine-learning matplotlib numpy pandas python random-forest randomforestclassifier roccurve scikit-learn sklearn zerotomastery

Last synced: 09 Apr 2026

https://github.com/ZauJulio/FeaturesAnalyzer

Python data analyze and machine learning tool

gtk machine-learning numpy pandas python sklearn

Last synced: 10 Aug 2025

https://github.com/dwarkadhish2005/house-price-predictor

Applied neural network for machine learning and done many analysis of data

keras matplotlib numpy pandas python seaborn sklearn

Last synced: 09 Apr 2026

https://github.com/affan-ch/gesture-talk-ai

GestureTalkAI: Decode hand language with precision. This AI project utilizes cutting-edge computer vision for real-time hand gesture detection, unveiling the unspoken messages conveyed through intuitive movements.

numpy open-cv python

Last synced: 09 Apr 2026

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

Este projeto tem como objetivo desenvolver um modelo que possa prever o melhor local para a perfuração de poços de petróleo. Utilizando modelo de Machine Learning para poder prever o lucro de cada poço.

math matplotlib-pyplot numpy pandas python3 sklearn

Last synced: 09 Apr 2026

https://github.com/alexandrbig1/py-design-analysis-algo

Advanced Python project on the design and analysis of algorithms. Includes practical modules on dynamic programming, graph theory, big data (Bloom filter, HyperLogLog), parallel computing (MapReduce), and optimization. Uses libraries like NumPy, Matplotlib, NetworkX, BTrees, PrettyTable, and Datasketch for efficient computation and visualization.

algorithms asyncio git heapq matplotlib numpy python python3 turtle

Last synced: 09 Apr 2026

https://github.com/htlinh0604/invoice-data-extraction

This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bách Hóa Xanh)..

flask numpy ocr-recognition opencv pandas python regex tesseract-ocr

Last synced: 10 Nov 2025

https://github.com/zazi2002/neuroscience-project-cnn

This project is part of the Neuroscience of Learning, Memory, Cognition course and focuses on the visual processing pathways in the brain, particularly the dorsal and ventral streams.

cnn-for-visual-recognition learning matplotlib numpy scipy visual-processing

Last synced: 09 May 2026

https://github.com/jswong65/machine_learning_nanodegree

Projects of Udacity Machine Learning nanodegree

machine-learning numpy pandas python scikit-learn scipy

Last synced: 09 Apr 2026

https://github.com/nirmalyabag20/wine-quality-prediction-machine-learning

This project analyzes the chemical properties of wines to identify key factors influencing quality. By leveraging machine learning techniques, i aim to develop predictive models that accurately classify wine quality, providing valuable insights for producers and enthusiasts alike.

k-neighbors-classifier logistic-regression machine-learning matplotlib numpy pandas python random-forest seaborn svc

Last synced: 09 Apr 2026

https://github.com/Tritonix711/FractureAI

This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.

css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics

Last synced: 19 Aug 2025

https://github.com/haidermalikk/neural-network-circuit-optimizer

The Neural Network Circuit Optimizer, built on my custom digital circuit simulator, uses AI and machine learning to optimize simple digital circuits. It leverages neural networks, circuit simulation, and optimization algorithms to reduce component count which improves: power usage, and execution time and efficiency. *Under Dev see Readme*

ai jupyter-notebook matplotlib ml numpy pandas python pytorch sqlalchemy tensorflow

Last synced: 10 Apr 2026

https://github.com/zensam7/easy_my_ai

Библиотека для создания ИИ, написана ПОЛНОСТЬЮ с нуля

genetic-algorithm library machine-learning neural-networks numpy q-learning

Last synced: 14 Feb 2026