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/haloapping/ml-workflow

Template alur kerja machine learning.

mahine-learning numpy pandas python3 scikit-learn

Last synced: 11 Apr 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/islamshahil/machinelearning

A Fun Project - Using LinearRegression, Predicting the Value.

hacktoberfest linearregression machine-learning numpy pandas python sklearn

Last synced: 11 Apr 2026

https://github.com/msmrexe/numpy-neural-network

A scratch-built NumPy implementation of a Fully Connected Neural Network, with a sequential model API, a variety of layers (Linear, ReLU, BatchNorm), loss functions (MSE, SoftmaxCrossEntropy), and a robust training `Solver` to create and train multi-layer perceptrons for both classification and regression.

backpropagation batch-normalization course-project deep-learning fully-connected-neural-network neural-networks nn-from-scratch numpy python university-project

Last synced: 18 May 2026

https://github.com/f1scher7/risk-master

RiskMaster is an intelligent platform for individual investors to assess cryptocurrency market risks. It combines historical trend analysis and predictive neural networks - LSTM

custom-implementation dense lstm-neural-networks numpy python streamlit-webapp

Last synced: 18 May 2026

https://github.com/vinicius999/eda-basketball-streamlit

Simple web application for viewing, filtering and analyzing Basketball data using Stremlit.

numpy pandas python streamlit webapp webscraping

Last synced: 07 Apr 2026

https://github.com/msthamizh/industrial-copper-modeling

Developing a Streamlit application that allows users to interactively predict sales outcomes using machine learning. The application supports both regression and classification tasks, enabling users to input various features and receive predictions for selling prices and status (WON/LOST).

exploratory-data-analysis machine-learning mongodb numpy pandas python streamlit

Last synced: 07 Apr 2026

https://github.com/dkealvaro/mnist

Achieved 75% accuracy in the MNIST dataset using a simple cosine similarity approach under 50 lines of code, with no training

cosine-similarity machine-learning mnist numpy

Last synced: 18 May 2026

https://github.com/vartikaraj2512/animalclassification

๐Ÿพ Animal Classification: Classify 28K animal images into 10 categories using CNNs with Transfer Learning. ๐Ÿ“ฅ Load & extract data, ๐Ÿ”„ preprocess images, ๐Ÿง  train models (VGG-16 & ResNet50), and ๐Ÿ“ˆ plot performance. Libraries: OpenCV (BGR), TQDM (progress bars), Categorical (one-hot encoding). ๐Ÿ› ๏ธ Install: pip install tensorflow numpy opencv-python

classification cnn kaggle machine-learning numpy opencv pandas tensorflow

Last synced: 20 Jan 2026

https://github.com/szilagyipeter99/imageprocessing

This repository contains the examples discussed in the Image processing practices.

classification image-processing machine-learning matplotlib numpy pillow python segmentation

Last synced: 18 May 2026

https://github.com/binarymax/multilabel

Multi-hot label encoding for NumPy

multihot numpy

Last synced: 19 May 2026

https://github.com/kentlouisetonino/sw-statistics-calculator

A CLI program that compute mean, median, and percentiles.

numpy os python3 statistics

Last synced: 29 Mar 2025

https://github.com/mr-chang95/ibm_recommendation_system

Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.

experimental-design ibm-watson machine-learning numpy pandas recommendation-engine recommendation-system udacity-data-science-nanodegree

Last synced: 20 Apr 2026

https://github.com/xaxm007/nn-numpy

A Basic Logistic Regression Neural Network using NumPy and calculus.

critical-indulgence logistic-regression neural-network numpy study

Last synced: 19 May 2026

https://github.com/javierkaiser9/rgbd-dual_input_machine_learning_model

This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO

efficientnet efficientnetv2 machine-learning numpy opencv openvino python3 realsense-camera tensorflow

Last synced: 31 Dec 2025

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/biantris/graph-python

Graph sin vs cos using matplotlib and numpy

matplotlib numpy python python3

Last synced: 21 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/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/fareedkhan-dev/google-play-store-analysis

This repo contains single jupyter notebook file which contains all the code

analysis numpy pandas playstore python3

Last synced: 11 Apr 2026

https://github.com/raghul-m/data-analysis-with-jupyternotebook-python

This repository consists of notebooks where I learned the basics of getting started with data analysis using Python libraries

beautifulsoup4 data-analysis-python eda jupyter-notebook matplotlib-python numpy pandas-python regular-expression seaborn-python webscraping

Last synced: 19 May 2026

https://github.com/algab/recommedation-content-based

Application of film recommendations from the IMDB database, using as a strategy the content-based recommendation

numpy pandas sklearn

Last synced: 12 Apr 2026

https://github.com/adolbyb/data-science-python

An Introduction to Data Science and Data Visualization with the FAU Data Science and Machine Learning Club

data-analysis data-science data-visualization jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 13 Apr 2026

https://github.com/buathiertom/pictures-stacking

SAE de dรฉveloppement d'une interface d'empilement d'image

astropy mathplotlib numpy pyplot pyqt6 python-pyqt6

Last synced: 29 Mar 2025

https://github.com/zacheddy/imageclassifier

A convolutional neural network from scratch to classify images (demo available)

image-classifier machine-learning neural-network numpy

Last synced: 19 May 2026

https://github.com/sirinemaaroufi/arabic-sentiment-analysis

This project focuses on developing a sentiment analysis model for Arabic text, leveraging hybrid transformer-based models (AraBERT) and LSTM approaches.

arabert arabic-nlp bert-model feature-extraction lstm machine-learning nlp numpy pandas pretrained-models python pytorch sentiment-analysis transformers

Last synced: 18 Apr 2026

https://github.com/amritakaur-08/smart_attendance_system

The Smart Attendance System is designed to automate the attendance process using facial recognition. Traditional methods of taking attendance can be time-consuming and prone to errors. This project aims to streamline the process by leveraging computer vision technology, allowing for efficient, contactless, and accurate attendance tracking.

asgiref django mysql numpy opencv pillow-library python sqlparse

Last synced: 08 Apr 2026

https://github.com/lbirkert/digit-recognition

[from-scratch] feed forward neural network that can recognize handwritten digets

feedforward-neural-network machine-learning numpy python

Last synced: 19 May 2026

https://github.com/apoorva-info/cognitive-load-using-blink-rates

Analyzing blink rates and task performance to measure cognitive load during digital span tasks using a custom Python tool.

matplotlib numpy pandas python

Last synced: 08 Apr 2026

https://github.com/wyllduck/pygame_escapefromgaia

PYGAME / 2018 / university: ETSEIB-UPC / title: 'Escape from Gaia'

matplotlib networkx numpy pygame python3

Last synced: 08 May 2026

https://github.com/popckovs/computational_mathematics

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mathematics matplotlib numpy python-3

Last synced: 25 Jan 2026

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/jayanthpotluri5513/ml-project-on-iris-dataset-

In this machine learning project, we explore and analyze the famous Iris dataset. The goal of the project is to apply various machine learning techniques to classify the Iris flowers based on their measured features.

machine-learning matplotlib numpy pandas python streamlit

Last synced: 08 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/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/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/antonvagabond/maze

Operation and functionality of two mazes.

matplotlib maze numpy pillow python python3

Last synced: 07 May 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/pavankethavath/dominos---predictive-purchase-order-system

This advanced forecasting tool leverages Prophet, ARIMA, SARIMA, and LSTM models to predict daily sales for 32 pizzas and 64 ingredients. With Prophet achieving the lowest MAPE, it ensures accurate demand forecasts, optimized inventory, and efficient purchase planning, reducing waste, preventing stockouts, and enhancing supply chain efficiency.

arima deep-learning eda exploratory-data-analysis forecasting lstm machine-learning mape matplotlib minmaxscaling numpy pandas prediction python sarimax seaborn seasonality tensorflow time-series

Last synced: 08 Apr 2026

https://github.com/iamshatha/disease-symptom-analysis

The data file defines the relationship between different symptoms and possible diseases

analysis dataset disease matplotlib numpy python symptoms

Last synced: 07 May 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/tasninanika/heart-disease-analysis

The Heart Disease Analysis project is a comprehensive machine learning study aimed at predicting the presence of heart disease using the Heart Disease UCI Dataset.

knn logistic-regression matplotlib numpy pandas python3 random-forest scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/willie-conway/data-science-tools-and-ecosystem

๐Ÿง  Explore essential Data Science ๐Ÿงช tools, ๐Ÿงฐ libraries, and ๐Ÿ Python arithmetic basics โ€” perfect for beginners!

data-science jupyter keras notebooks numpy pandas python pytorch

Last synced: 27 Jul 2025

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/andystmc/nextflownyc

Developed a machine learning model (Bidirectional LSTM) to forecast NYC traffic volumes using 10 years of automated traffic count data. Achieved strong predictive accuracy, demonstrating the power of deep learning for urban traffic analysis.

data-analysis data-cleaning data-science data-visualization exploratory-data-analysis feature-engineering hyperparameter-tuning jupyter-notebook lstm-neural-networks machine-learning numpy pandas predictive-modeling python3 scikit-learn tensorflow-keras traffic-flow-forecasting

Last synced: 07 Apr 2026

https://github.com/raduldev/gromacs

Molecular Dynamics Simulation using GROMACS in Jupyter notebook

bash gromacs matplotlib molecular-dynamics-simulation numpy pandas python3 shell

Last synced: 09 Apr 2026

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/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/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/malwarebo/carcinet

Basic breast cancer detection using Machine Learning

deep-learning keras machine-learning matplotlib numpy python3 scipy tensorflow

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/bhargav-joshi/img-caption-generator

Automatically creating the description or caption of an image using any natural language sentences is a very challenging task. It requires both methods from computer vision to understand the content of the image and a language model from the field of natural language processing to turn the understanding of the image into words in the right order. In addition to that we have discussed how this model can be implemented on web and will be accessible for end user as well.

flask jupyter-notebook keras machine-learning nlp nltk numpy pandas python tensorflow

Last synced: 09 Apr 2026

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/khaymanii/wine-quality-prediction-model

This is a model built using Python and Random Forest Classifier which is an ensemble algorithm and also a supervised learning algorithm

matplotlib numpy pandas python sckit-learn

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/paulo-santos-ds/desenvolvimento_pocos_petroleo

Este projeto tem como objetivo desenvolver um modelo que possa prever o melhor local para a perfuraรงรฃo de poรงos de petrรณleo. Utilizando modelo de Machine Learning para poder prever o lucro de cada poรงo.

math matplotlib-pyplot numpy pandas python3 sklearn

Last synced: 09 Apr 2026

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

๐Ÿ“Š 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/sahajrajmalla/co2-calculator-api

A Web Application backend API that enables people to create events, join events, and measure the carbon footprint produced by each participant to get insights about online and onsite carbon emissions.

apis carbon-emissions carbon-footprint fastapi makefile numpy pandas precommit sqlalchemy sqlite3 uvicorn

Last synced: 09 Apr 2026

https://github.com/thedevreda/python

My Full Backup Packagaes & Files Guide for Python ๐Ÿ‘ทโ€โ™‚๏ธ

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 20 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/amari-calipso/papers-please-tasbot

A "Papers, Please" TASbot that offers a programmable interface with the game

cython game-bot games image-processing numpy papers-please papersplease python python3 tas tool-assisted-speedrun

Last synced: 13 Feb 2026

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/mohamed3nan/udacity

Udacity Data Analysis Nanodegree Program

data-analysis data-visualization numpy pandas python

Last synced: 10 Apr 2026

https://github.com/octcarp-courses/sustech_cs303-ai_f23_works

(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.

numpy pytorch sustech

Last synced: 08 May 2026

https://github.com/tejasvi541/machine-learning

My Machine and Deep Learning Practice and Projects Notebooks

matplotlib numpy python3 pytorch sklearn tensorflow

Last synced: 10 Apr 2026

https://github.com/fayzi-dev/machin_learning

Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering, XGBoost,DBscan,KMeans)

algorithms artificial-neural-networks logistic-regression machine-learning matplotlib matplotlib-pyplot naive-bayes-classifier numpy pandas python python3 seaborn seaborn-plots sklearn sklearn-knn sklearn-library sklearn-linear-model sklearn-linear-regression sklearn-metrics sklearn-svm

Last synced: 09 Apr 2025