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/supriya811106/healthcare-recommedation-system

A Flask-based web app that predicts diseases based on symptoms and recommends specialized doctors. It uses machine learning for accurate health predictions and location-based doctor searches.

css flask-application healthcare-application html javascript machine-learning numpy pandas recommendation-system scikit-learn

Last synced: 04 Mar 2026

https://github.com/franklingu/ml_foundations

Machine Learning Foundations from University of Washington, rewrite in numpy, pandas, scipy and sklearn

coursera jupyter-notebook machine-learning numpy pandas scipy sklearn

Last synced: 07 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/raghavendranhp/waiter_tip_prediction

The "Waiter Tips Prediction Model" is a machine learning tool that forecasts waiter tips based on factors like the total bill, customer demographics, and dining specifics. It assists waitstaff and restaurants in understanding and estimating tipping patterns

eda numpy pandas plotly-express plotly-graph-objects python sklearn

Last synced: 06 Apr 2026

https://github.com/nathanielsimard/numpy-mnist-classifier

Feed forward neural network using Numpy for MNIST classification.

deep-learning machine-learning mnist mnist-classification mnist-classifier numpy

Last synced: 29 Apr 2026

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/cchandre/confkam

Conjugation method in configuration space for invariant tori of Hamiltonian systems

conjugation hamiltonian hamiltonian-dynamics invariant-tori kolmogorov-arnold-moser numpy python3 scipy

Last synced: 06 May 2026

https://github.com/bl0nder/regressify

A multi-task neural network coded from scratch that performs simultaneous regression and classification.

classification deep-learning multitask-learning neural-networks numpy regression

Last synced: 15 May 2026

https://github.com/swaathi/cpt-recommendation

Collaborative Filtering using User-Item and Item-Item Models

collaborative-filtering numpy recommendation-system scikit-learn

Last synced: 08 May 2026

https://github.com/sidsurakanti/mnist-classification

realtime handwritten digit recognition & mnist digit classification from scratch w/ only maths and numpy

classification math ml mnist numpy

Last synced: 14 May 2026

https://github.com/syedaanif/ds-ml-pyhton

This repo contains learnings about Data Science and Machine Learning using Python

artificial-intelligence data-science machine-learning matplotlib numpy pandas plotly python seaborn

Last synced: 07 Apr 2026

https://github.com/kostasereksonas/ids_test

Code for intrusion detection system based on "Intrusion Detection System Using Machine Learning Algorithms" tutorial on Geeksforgeeks and Intrusion Detection on NSL KDD Github repository.

ids intrusion-detection intrusion-detection-system nsl-kdd-dataset numpy pandas python scikit-learn tensorflow

Last synced: 08 Apr 2026

https://github.com/prathameshdhande22/data-visualization-tutorial

Repository Contains all the stuff required for Data Visualization. Numpy Tutorial, Pandas Tutorial, Matplotlib Tutorial, Seaborn Tutorial

data-visualization jupyter-notebook matplolib numpy pandas pandas-dataframe python seaborn tutorial

Last synced: 09 Apr 2026

https://github.com/gokulgowthams/smart-premium

An Interactive Premium Amount Detection for user which accurately predicts the required premium amount for a default loan by using series of questions that satisfies the criteria in Streamlit Application

data-preprocessing feature-engineering git github mlflow model-deployment numpy pandas python scikit-learn streamlit xgboost

Last synced: 11 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/theanujsinha01/rainfall-prediction-using-machine-learning

This project predicts whether it will rain or not based on weather features like pressure, humidity, dew point, cloud cover, sunshine, wind direction, and wind speed. We use a Random Forest Classifier, a popular ML algorithm, trained on historical weather data. The model learns patterns and helps us forecast rain chances.

classification data-analysis eda machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn supervised-learning

Last synced: 11 Apr 2026

https://github.com/mrarvind90/fcc-mean-var-std-calculator

A Python program to compute the mean, variance, standard deviation, maximum, minimum, and sum of a given list, both flattened and along specified axes using Numpy.

black freecodecamp freecodecamp-challenge freecodecamp-project numpy python3

Last synced: 19 May 2026

https://github.com/gandhasiri-rahul-mohan/association-rules-2-my-movies

Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots

apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-learning

Last synced: 11 Apr 2026

https://github.com/lunastev/flowmodel

FlowModel is a lightweight and extensible machine learning framework designed for beginners to easily experiment with AI development through a modular plugin architecture.

ai ai-model ai-models beginner-friendly flow-model flow-models flowmodel framework lightweight machine-learning model numpy plugin-architecture python torch torchvision

Last synced: 20 May 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/huichuanli/play-with-linear-algebra

use python3 and Numpy to realize my personal linear Algebra library

numpy python3 scipy

Last synced: 07 May 2026

https://github.com/aryehky/ml-theory-to-implementation

📚🧠 Explores core machine learning concepts through interactive, hands-on Jupyter notebooks. From building a neural network from scratch to applying dimensionality reduction and classification with real-world libraries, this project bridges the gap between theory and practical application.

4d-database jupyter-notebook machine-learning matploblib numpy pca-analysis

Last synced: 23 Jun 2025

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

The Diabetes Prediction with Machine Learning project aims to predict the likelihood of an individual developing diabetes based on various health parameters and demographic information.

fastapi machine machine-leaning matplotlib mongodb numpy pandas python reactjs seaborn

Last synced: 20 Jun 2025

https://github.com/xmcp/waver

Wave file generator

numpy tkinter wavefile waveform

Last synced: 17 May 2026

https://github.com/biantris/graph-python

Graph sin vs cos using matplotlib and numpy

matplotlib numpy python python3

Last synced: 21 May 2026

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

This project is all about web scraping using Selenium, BeatifulSoup and Python Packages.

beautifulsoup matplotlib numpy pandas python3 selenium-python

Last synced: 06 Apr 2026

https://github.com/hansalemaos/cythoncartesian2

Cartesian Product for NumPy - 40x faster than NumPy + itertools.product

algorithm cartesian cartesian-product cython fast numpy

Last synced: 17 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/drcbeatz/aynm-data

Python scripts for data cleaning and processing for AYNM (Pandas/NumPy/Selenium/AWS Textract)

automation aws-textract csv data-analysis data-cleaning ipynb numpy ocr pandas python reverb selenium shopify webscraping xml

Last synced: 07 Mar 2026

https://github.com/c0sogi/python-dcm

A high-performance Python package for handling ETAS DCM(Data Conversion Format) files used in engine calibration tools like INCA, MDA, EHANDBOOK, and CANape.

automotive dcm ecu-calibration etas inca numpy pandas python

Last synced: 12 Aug 2025

https://github.com/rex-8/mnist-4-layer

Implementing a 4 layer neural to identify digits from a 28x28 grid using just python and numpy

backward-propagation deep-learning forward-propagation loss-functions machine-learning mnist-classification neural-network numpy python relu-network

Last synced: 15 May 2026

https://github.com/cskhomo/scientific-python

Scientific Computation, Data Analysis using Python, Bash, SQL for FreeCodeCamp Courses.

numpy postresql shell-scripting

Last synced: 14 May 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/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

https://github.com/amanpatel-1234/automatic_data_analyzer_app

📊 Automatic Data Analyzer is a Streamlit web app that performs complete data analysis with just a single file upload. Simply upload your CSV file, and the app automatically generates: Data Overview: Preview, summary statistics, and data types. Visual Analysis: Histograms, distribution plots, and interactive charts for numeric columns.

app data-science data-visualization matplotlib-pyplot numpy pandas python3 seaborn seaborn-plots streamlit

Last synced: 09 Apr 2026

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/aarryasutar/logistic_regression_on_age_prediction

This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.

accuracy-score confusion-matrix f1-score feature-selection logistic-regression model-training numpy pandas precision recall rmse roc-auc-curve scikit-learn visualization

Last synced: 20 Jan 2026

https://github.com/alicbm/learnlytics-code

Repositorio oficial de LearnLytics, una plataforma de tutoriales sobre análisis de datos, ciencia de datos, programación y economía. Aquí encontrarás los códigos y bases de datos utilizados en nuestros tutoriales, junto con documentación detallada para su implementación. 🚀

analisis-de-datos automation economia estadistica machin matplotlib mysql numpy pandas programming python r selenium webscraping

Last synced: 10 Apr 2026

https://github.com/ashkarin/ndpatch

Package to extract arbitrary regions from an N-dimensional numpy array assuming it mirrored infinitely.

array data-structures deep-neural-networks image-processing numpy patches region-of-interest

Last synced: 19 May 2026

https://github.com/aryan-coder-student/smart-agricultural-monitering-aryanpahari037-

Increase agricultural productivity and sustainability by offering a smart farming assistant that helps farmers make data-driven decisions to optimize resource use and crop management.

hackathon-project machine-learning numpy pandas python scikit-learn

Last synced: 11 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/johndev19/data-visualization-tool

A Python-based application for generating various types of charts and graphs from user-input data.

charts matplotlib numpy python visualization

Last synced: 17 May 2026

https://github.com/moeeinaali/fop2023-python-project-sut

Fundamental of Python Programming - Fall 2023 - Instructor: Mr. Malekzadeh

data-science fundamentals-of-programming matplotlib numpy pandas python

Last synced: 18 Jul 2025

https://github.com/chaitanya1436/student_performance_analysis

A project focused on analyzing college student performance using data on department, assessment scores, and performance labels. Implemented in Google Colab, the analysis includes data preprocessing, feature scaling, and exploratory data analysis to uncover insights and prepare the data for further analysis or modeling.

ata-preprocessing data-preparation exploratory-data-analysis feature-scaling google-colab numpy pandas scikit-learn

Last synced: 07 Feb 2026

https://github.com/msadeqsirjani/cinemetrics

This project focuses on analyzing the Netflix dataset to gain insights into the movies and TV shows available on Netflix.

decision-trees jupyter matplot netflix nlp nltk numpy pandas plotty python scikitlearn-machine-learning seaborn sklearn svm

Last synced: 06 Apr 2026

https://github.com/mousazourob/stockdataresampler

Python script that resamples an instruments minute by minute candle stick data to any interval

alpha-vantage-api numpy pandas python

Last synced: 07 May 2026

https://github.com/aaa1928/iris-ml-classifier

PyTorch model that classifies Iris species based on characteristics about the length and width of sepals and petals.

deep-learning iris-classification iris-dataset machine-learning neural-network numpy pandas python pytorch scikit-learn

Last synced: 05 Apr 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/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/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/madhuresh2011/amazon-sales-report-analysis-using-python

This project focuses on analyzing Amazon sales data using Python to uncover insights into sales performance, customer behavior, and product trends

charts cleaning-data data-analysis jupyter-notebook matplotlib numpy pandas python seaborn visualization

Last synced: 17 Apr 2026

https://github.com/KernFerm/PresFutImpactSim

This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.

economic-model forecasting matplotlib numpy political-model python scipy simpy simulation social-model

Last synced: 16 Oct 2025

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/aryansk/human-counting-system

HumanVision-Detector is a real-time human detection system built with OpenCV and HOG (Histogram of Oriented Gradients) descriptor. The system can detect and count people in both images and video streams, making it suitable for various applications including surveillance, crowd monitoring, and foot traffic analysis.

argparse imutils machine-learning machine-learning-algorithms numpy opencv python

Last synced: 19 Apr 2026

https://github.com/dulajkavinda/live-sketching

✍️ Converting live video stream from webcam into a sketch using OpenVC and Keras

added image-filtering keras machinelearning matplotlib numpy opencv python

Last synced: 10 Apr 2026

https://github.com/singhmnprt01/Custom-Deep-Neural-Network-Package

A custom deep neural network package that gives the liberty to design your deep neural network using only NumPy

customized-deep-neural-network deep-learning-framework maths-behind-neural-network numpy

Last synced: 09 Jul 2025

https://github.com/venky-1710/stress-level-predection

Stress Level Prediction is a web app using machine learning to estimate user stress levels. It takes inputs like anxiety, sleep quality, and academic performance, then predicts stress using a Decision Tree Classifier. Built with Python, Flask, and scikit-learn, it's useful for students, researchers, and those interested in stress management.

css flask html machine-learning numpy pandas python python-sklearn scikit-learn

Last synced: 05 Apr 2026

https://github.com/hernandemonteiro/host_national_search_2015

Análise Estatística da Pesquisa Nacional por Amostra de Domicílios

colab-notebook matplotlib numpy pandas pnad python3 pythonnotebook seaborn

Last synced: 29 Apr 2026

https://github.com/guilhermebit/movie-suggestions-using-k-nearest-neighbors

This project implements a movie recommendation system using the K-Nearest Neighbors (KNN) machine learning algorithm.

algorithms data-science euclidean-distance knn machine-learning matplotlib numpy pandas python

Last synced: 12 Apr 2026

https://github.com/suraj-sedai/lstm-deep-learning

A step-by-step guide to mastering sequence prediction using TensorFlow and LSTM. This repository covers everything from basic linear predictions to advanced multi-step forecasting, many-to-many LSTM models, and real-world applications like stock price forecasting and sales prediction.

lstm-neural-networks lstm-sentiment-analysis numpy pandas python sklearn tensorflow

Last synced: 11 Apr 2026

https://github.com/tasninanika/k-means-clustering

An interactive and insightful customer segmentation project using K-Means Clustering.

matplotlib numpy pandas plotly python3 scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/mrtarantoga/mdl-density-histogram

Cython-accelerated MDL histogram density estimation. Implements Kontkanen & Myllymaki's dynamic programming algorithm for optimal variable-width bins, parametric complexity with Ramanujan approximations, and automatic bin count selection. Based on "MDL Histogram Density Estimation" (JMLR 2007).

cython-library mdl numpy pypi-package python3

Last synced: 30 Nov 2025

https://github.com/mgobeaalcoba/linear_algebra_for_machine_learning

Explore fundamental linear algebra concepts essential for machine learning in this repository, with code examples and explanations. Get a solid foundation for ML!

machine-learning matplotlib numpy pandas python3 scikit-learn scipy seaborn

Last synced: 12 Apr 2026

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/kr1shnasomani/sentimentscope

Sentiment analysis on movie review using TensorFlow and GloVe embeddings

deep-learning keras matplotlib natural-language-processing neural-networks numpy pandas scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/hanzopgp/neuralnetworkfromscratch

This is a multi-layer perceptron build from scratch using numpy and python.

artificial-intelligence deep-learning machine-learning multi-layer-perceptron numpy personal

Last synced: 17 Apr 2026

https://github.com/kwanit1142/sars-cov-2-detection-radiology-based-multi-modal-multi-task-framework

Keras-based Implementation for "SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework" (Accepted in 45th IEEE EMBC 2k23)

gans keras matplotlib numpy opencv os pandas pillow scipy sklearn tensorflow transfer-learning wasserstein-distance

Last synced: 14 Apr 2026

https://github.com/arufonsekun/computer-vision

This repository hosts the code produced in dojos, week tasks, theoretical presentations during my attending time in the UFFS computer vision study group. (refactor in progress)

computer-vision numpy opencv python3

Last synced: 17 Apr 2026

https://github.com/juwono136/indonesia-negative-comment-lstm

Sentiment Analysis of Indonesian Negative Comments on Social Media Using Long Short-Term Memory (LSTM)

deep-learning-algorithms gradio-interface hugging-face lstm-sentiment-analysis nlp numpy python3 tensorflow

Last synced: 17 Apr 2026

https://github.com/carmoreno/analisisaccidentalidadbogota

Data Analysis about traffic accidents at Bogotá, Colombia.

data-analysis data-science jupyer-notebook matplotlib numpy pandas scikit-learn

Last synced: 17 Apr 2026

https://github.com/lakhidaksh-01/carinsightanalyzer

Interactive Car Ratings & Insights

cars matplotlib numpy pandas python seaborn streamlit

Last synced: 10 Apr 2026

https://github.com/laavanjan/lstm-rnn-next-word-prediction

An advanced LSTM RNN-based deep learning model designed for next-word prediction. This model processes sequential text data using deep learning techniques to generate accurate and context-aware word predictions in real-time

jupyter-notebook numpy pandas-dataframe rnn rnn-tensorflow streamlit-webapp tensorflow

Last synced: 09 May 2026

https://github.com/msthamizh/bizcardx-extracting-business-card-data-with-ocr

Developing a Streamlit application that enables users to upload business card images and extract key details using easyOCR. The app allows users to manage the extracted data (view, update, delete) and securely stores it in a MySQL database. It also highlights extracted text directly on the business card image using Pillow.

easyocr mysql numpy pandas pillow python regular-expression streamlit

Last synced: 10 Apr 2026