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/cr00z/dlschool_adv

Репозиторий для сдачи домашних заданий на первом семестре продвинутого потока курса "Deep Learning" Школы глубокого обучения ФПМИ МФТИ

matplotlib numpy pandas python pytorch sklearn

Last synced: 02 Apr 2026

https://github.com/klaudiozdrava/image-analysis

A Python project that was developed as a university assignment and the goal is to colorize an grayscale image using machine learning techniques.

colorization image-processing kmeans-clustering numpy svm

Last synced: 16 May 2026

https://github.com/stkisengese/numpy-data-fundamentals

A comprehensive collection of NumPy exercises covering array manipulation, slicing, broadcasting, random data generation, and real-world data analysis applications.

data data-analysis numpy pre-processing

Last synced: 16 May 2026

https://github.com/wisskirchenj/matrix-processor

Python app to process matrices using numpy

matrix-calculations numpy python3

Last synced: 16 May 2026

https://github.com/night-fury-me/deep-learning-fau

A repository that contains implementation of DNN, CNN and RNN from Scracth using numpy only. ResNet implementation using PyTorch

cnn deep-learning dnn machine-learning numpy pytorch rnn

Last synced: 10 Jul 2025

https://github.com/kkKaan/tensor-library-403-hw1

A numpy like library for tensor (gergen) operations.

deep-learning numpy python tensor

Last synced: 09 Sep 2025

https://github.com/rkschroeder/portfolio

This repository contains a data science project.

matplotlib numpy pandas sckit-learn seaborn

Last synced: 17 Feb 2026

https://github.com/natiellitorres/python-data-science-alura

Repositório contendo meus estudos e projetos realizados durante o curso de Python para Data Science da Alura. Inclui notebooks, datasets e análises aplicadas com bibliotecas como Pandas, NumPy, Matplotlib, entre outras.

data-science jupyter-notebook matplotlib numpy pandas python

Last synced: 13 Apr 2026

https://github.com/hac8hi/ppgmonitoring

A PyQt generated app who display PPG signal, heart rate and breath rate

numpy pca ppg ppg-signal principal-component-analysis pyqt5 pyqtgraph scipy signal-analysis signal-processing

Last synced: 06 May 2026

https://github.com/hansalemaos/numpy_choices

Some useful np.random functions

choices numpy python random

Last synced: 04 Apr 2025

https://github.com/lemonsoda9013/easy-watermark-tool

A batch image watermarking tool based on Python and Tkinter.

batch-processing gui image-processing numpy pillow python tkinter watermark

Last synced: 15 May 2026

https://github.com/abdelrahman-lila/seam-carving

Seam Carving for Content Aware Image Resizing Project - Computer Vision Lab

numba-jit numpy python

Last synced: 10 Jul 2025

https://github.com/ohyeasabhi/signature-recognizer

Este projeto desenvolve um sistema para verificar a similaridade de assinaturas usando redes neurais. Ele utiliza o Triplet Loss para criar embeddings, focando na avaliação biométrica com o dataset CEDAR. 🖊️🌐

backpropogation-neural-network computer-vision django image-recognition jupyter-notebook keras machine-learning-projects neural-network numpy one-shot-learning python-project siamese-neural-network signature signature-recogniton tensorflow type voice-recognition windows

Last synced: 08 Apr 2026

https://github.com/danielpancake/mlml

my little machine learning library written in NumPy

machine-learning numpy

Last synced: 05 Apr 2025

https://github.com/bishopce16/surfs_up

An analysis of weather data to determine opening of an ice cream and surf shop using SQLite, SQLAlchemy, and Python.

matplotlib numpy pandas python sqlalchemy sqlite weather

Last synced: 02 Apr 2026

https://github.com/winstxnhdw/pyalign

An over-engineered website for aligning multiline strings to a common character with PyScript.

numpy pyscript uv

Last synced: 13 Jun 2025

https://github.com/themihirmathur/machine-failure-predictor

The 'Machine Failure Predictor' is a web application designed to enable predictive maintenance for industrial equipment. Leveraging machine learning techniques, this application predicts whether equipment will fail and identifies the type of failure based on key process parameters.

cicd digitalocean docker fastapi flask github github-actions machine-learning matplotlib mlops numpy plotly python randomforest scikit-learn seaborn streamlit

Last synced: 10 Apr 2026

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

Sample program where is implemented clustering by K-means algorithm, and its visualisation.

clustering-algorithm kmeans-clustering matplotlib numpy python

Last synced: 16 May 2026

https://github.com/vipinchaudhary31122002/bytephone

A data science project that explores, visualizes, and models smartphone features from a futuristic 2025 dataset to predict mobile prices using machine learning.

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

Last synced: 13 Apr 2026

https://github.com/vipinchaudhary31122002/cardiopredict

CardioPredict is a smart, ML-powered application that helps analyze your risk of heart disease using interactive forms, clinical features, and trained classification models.

machine-learning matplotlib numpy pandas python3 random-forest seaborn streamlit

Last synced: 12 Apr 2025

https://github.com/jaffarkeikei/hackbio

This repository contains a comprehensive toolkit for analyzing single-cell perturbation data from the NeurIPS 2023 Competition. The project focuses on understanding how different drugs (small molecules) affect various cell types at the gene expression level.

csv-files jupyter-notebook matplotlib numpy python tensors

Last synced: 11 May 2026

https://github.com/jancervenka/genalg

Solver for traveling salesman problem

genetic-algorithm numpy python

Last synced: 12 Apr 2025

https://github.com/shreeparab1890/laptop-price-predictor

This notebook is trying to build a model which will predict the price of the laptop based on the given specifications.

machine-learning-algorithms matplotlib numpy pandas price-prediction python scikit-learn sklearn

Last synced: 06 Apr 2026

https://github.com/mkdirer/depression-data-analysis

This project analyzes a Kaggle depression dataset using data preprocessing, clustering, classification, and outlier detection techniques. Python libraries like pandas, numpy, matplotlib, seaborn, and scikit-learn are used to extract insights.

classification clustering matplotlib numpy pandas scikit-learn seaborn vizualization

Last synced: 12 Apr 2025

https://github.com/alejoduarte23/si_bayesianmixturemodel

Implementation of a two-stage fast Bayesian system identification for separated Modes. This repository expands the usage of this technique by adding a mixture model fit to obtain modal parameters from the posterior distribution.

matplotlib numpy scikit-learn scipy

Last synced: 20 Feb 2026

https://github.com/mohammedsaqibms/planar_data_classification_with_onehidden_layer

This repository implements a simple neural network for binary classification of 2D planar data using Python and NumPy. It compares logistic regression with neural networks and includes code for forward/backward propagation, gradient descent, and decision boundary visualization.

backpropagation binary-classification gradient-descent logistic-regression machine-learning neural-networks numpy python3

Last synced: 10 Jul 2025

https://github.com/moritzsalla/cci-advanced-visualization

Classwork for Mick Grierson's module at the Creative Computing Institute

matplotlib numpy openframeworks python tensorflow

Last synced: 06 May 2026

https://github.com/pradyumnakr/facial-recognition-using-opencv

Uses haarcascades to recognize facial features, patterns and performs feature extraction followed by labelling the data to recognize the faces on a live webcam.

numpy opencv python3

Last synced: 09 May 2026

https://github.com/anufrievsy/man_women

Данный скрипт был создан с целью поиска субъективно интересных серий ТВ-шоу "Мужское Женское"

bs4 clear-output fuzzywuzzy ipython ipython-display jupyter jupyter-notebook jupyter-notebooks matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python requests time youtube youtube-search

Last synced: 05 Feb 2026

https://github.com/evernext10/coursera_capstone

This repository is created for sending the IBM Data Science Lab and will be used primarily for the Capstone project.

coursera-data-science ibm numpy pandas

Last synced: 10 May 2026

https://github.com/mah-22/room-occupancy-prediction-using-environmental-sensor-data

This project uses environmental sensor data to predict room occupancy, providing valuable insights for efficient energy management and space utilization in buildings. By analyzing factors like temperature, humidity, and light levels, the model aims to accurately forecast when rooms will be occupied, optimizing resources and enhancing overall buildi

classification data-science data-visualization exploratory-data-analysis machine-learning numpy pandas python seaborn time-series

Last synced: 07 May 2026

https://github.com/mohammedrashithkp/drlforsnakegame

This project utilises a Deep Reinforcement Learning specifically Q learning implemented using PyTorch which learns the game by interacting with the pygame environment .I have followed a tutorial on Freecodecamp YouTube Channel and made the initial model.

deep-reinforcement-learning matplotlib-pyplot numpy pygame python

Last synced: 16 May 2026

https://github.com/subhashpolisetti/crispdm-semma-kdd-workflows

This repository demonstrates three data mining methodologies applied to various real-world datasets: CRISP-DM (Weather Analysis), KDD (Social Media Ads Analysis), and SEMMA (Spotify Recommendation System). Each project includes data exploration, preprocessing, modeling, and evaluation steps, along with comprehensive documentation, supporting files,

clustering-algorithm crisp-dm kdd latex-template machine-learning numpy pandas random-forest research-paper semma

Last synced: 07 May 2026

https://github.com/sadegh-khedry/pneumonia-detection-using-cnn

Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).

cnn convolutional-neural-networks cv2 deep-learning harris-corners joblib jupyter-notebook keras kmeans-clustering matplotlib numpy orb pandas python seaborn shutil sifit tensorflow

Last synced: 11 Apr 2026

https://github.com/aqueeqazam/a-deep-dive-introduction-to-tensorflow

TensorFlow is a deep learning system that provides an interface for expressing deep learning algorithms and implementing them. It uses dataflow graphs to represent computation, shared state, and the operations that mutate that state.

deep-learning neural-network numpy tensor tensorflow

Last synced: 03 Aug 2025

https://github.com/aysh2603/credit-card-fraud-detection

The Credit Card Fraud Detection project aims to identify fraudulent transactions from a dataset of credit card transactions. The project addresses the challenge of class imbalance and employs advanced machine learning techniques to build an effective fraud detection model.

ensemble-learning hyperparameter-tuning numpy pandas python3 scikit-learn streamlit

Last synced: 04 Feb 2026

https://github.com/faraazarsath/handson-numpy

This respository is on various Numpy Tasks provided as academic assignment

numpy

Last synced: 16 May 2026

https://github.com/itzzmeakhi/ab-testing

This project was done as a part of Udacity's Data Analyst Nanodegree program in which AB-Testing is performed for the users under treatment and control groups to predict whether changes should be done for an website or it is ideal to keep the existing one, based on the performance of old and new pages. Hypothesis testing, z-test, and Logistic Regression is performed to predict results.

bootstrapping hypothesis-testing jupyter-notebook matplotlib numpy pandas python statistics z-test

Last synced: 04 May 2026

https://github.com/lorenzorottigni/ml-interview

Machine Learning python bootcamp: K Nearest Neighbors job interview simulation dataset

ipynb k-nearest-neighbours machine-learning numpy pandas python scikit-learn seaborn

Last synced: 07 Apr 2026

https://github.com/michaeldehaney94/opencv

Python OpenCV computer vision projects

matplotlib numpy opencv-python python

Last synced: 20 Jun 2025

https://github.com/1adore1/face-analysis

An application for face recognition and prediction of gender, age range and emotional state.

numpy opencv pandas python pytorch

Last synced: 07 Apr 2026

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

🤖Common ML implementations from scratch.

machine-learning numpy pandas python pytorch

Last synced: 07 Apr 2026

https://github.com/sumaiyyaf/spotify-data-analysis

This project explores Spotify music data, using Python to clean, analyze, and visualize the dataset. It examines the relationship between audio features and sentiment in song lyrics, uncovering patterns and trends to provide valuable insights into music preferences.

eda numpy pandas python

Last synced: 08 May 2026

https://github.com/nik-kusanagi/jupyter

Treinamento Para Análise de Dados.

big-data jupyter jupyter-notebook matplotlib numpy pandas python python3

Last synced: 30 Apr 2026

https://github.com/pedronjorge/average-face-python

Generate an average face from a given set of images by detecting facial landmarks, aligning features, and blending the images using Delaunay Triangulation. Libraries used: Dlib, OpenCV, NumPy

dlib image-generation jupyter-notebook numpy opencv python3

Last synced: 21 Jun 2025

https://github.com/trivediayush/python-bootcamp

This repository contains code, notes, and examples from my journey learning Python and its essential libraries.

flask matplotlib numpy pandas python python3 pythonbootcamp

Last synced: 01 Jul 2025

https://github.com/ayushhhh123/diwali_sales_analysis

This project provides a comprehensive analysis of Diwali sales data using Python. The primary goal is to derive business insights from customer purchasing behavior during the Diwali festival season. This analysis can help improve marketing strategies, customer targeting, and overall sales performance.

matplotlib numpy pandas python seaborn

Last synced: 07 May 2026

https://github.com/atharvkadammm/calmlytic

An end-to-end machine learning project that predicts anxiety severity using classification models (Naive Bayes, Decision Tree, SVM, Logistic Regression, XGBoost), based on lifestyle, health, and behavioral features.

anxiety-prediction classification csv data-analysis data-preprocessing-and-cleaning data-science data-visualization ensemble-learning logistic-regression machine-learning-algorithms matplotlib mental-health numpy pandas python sci-kit-learn seaborn supervised-learning svm xgboost

Last synced: 21 Jun 2025

https://github.com/atharvkadammm/suicide-prediction-system

A machine learning project predicting suicide risk based on multiple socio-economic and environmental factors using data mining techniques.

csv data-analysis data-science data-visualization datamining exploratory-data-analysis feature-engineering machine-learnin matplotlib mental-health numpy pandas riskassesment seaborn sklearn suicide-prediction supervised-

Last synced: 01 Jul 2025

https://github.com/fjohnson87/planning-and-feasability

Data-driven feasibility analysis using pandas, seaborn, and FAO food supply data

matplotlib numpy pandas

Last synced: 04 May 2026

https://github.com/shankhadweep/diabetes-prediction-systemv3

This project demonstrates a machine learning solution for predicting diabetes based on user-provided health data. The application uses Streamlit for an interactive web interface and advanced interpretability tools like SHAP and permutation importance to explain model predictions.

jupyter-notebook machine-learning matplotlib numpy pandas plotly randomforestclassifier sckit-learn seaborn streamlit-webapp

Last synced: 01 May 2026

https://github.com/gauravpatil04/ml

This repo is on "Basics skills required for Machine Learning"

matplotlib numpy pandas python seaborn

Last synced: 11 Jul 2025

https://github.com/edegan-furb/conwaygameoflife

This project is a simulation of Conway's Game of Life using Python with the Pygame library.

conways-game-of-life numpy pygame python

Last synced: 29 Apr 2026

https://github.com/chernyakid/game-success-analysis

Выявление закономерностей успешности компьютерных игр

jupyter numpy pandas python scipy seaborn

Last synced: 07 Apr 2026

https://github.com/vivekmodak3/multiple-disease-prediction-system--streamlit-webapp

This repository contains the codebase for "Multiple Disease Prediction Streamlit App". The training notebooks & the datasets are also provided in the respective folders.

machine-learning-algorithms numpy pandas python3 scikitlearn-machine-learning streamlit

Last synced: 07 Apr 2026

https://github.com/shekharkram/project

A collection of data analytics projects showcasing skills in data cleaning, exploration, visualization, and basic SQL queries. Designed to demonstrate entry-level data analyst competencies using real-world datasets and tools.

datacleaning excel jupyter-notebook mysql numpy pandas postgresql python sql

Last synced: 07 Apr 2026

https://github.com/manshreet27/mrs

This Movie Recommendation System is a web-based application built using Python and Streamlit, designed to provide movie recommendations based on user preferences. It utilizes TMDb API for fetching real-time movie details and Kaggle's TMDB 5000 Movies dataset for content-based filtering.

numpy pandas python scikit-learn streamlit tmdb-5000-movies-dataset-from-kaggle tmdb-api-for-fetching-real-time-movie-data

Last synced: 07 Apr 2026

https://github.com/shweta189/sms-spam-detection

Detecting Spam SMS's messages using machine learning algorithms.Utilizing NLP techniques such as tf-idf vectorization and machine learning algorithms like naive bayes and logistic regression for classifications. Integrated with Streamlit to create an interactive web app where users can input a message and instantly check if it's spam or not.

eda machine-learning-models nltk numpy pandas plotly python seaborn streamlit

Last synced: 07 Apr 2026

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

Crafted for hands-on learning and implementation of ML with scikit-learn

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

Last synced: 07 Apr 2026

https://github.com/rajatnai49/data-science-practices

In this, I am adding all the Python exercises with the solutions related to data handling, analysis, and visualization using libraries such as NumPy, Pandas, and Matplotlib for data analysis and visualization.

jupyter-notebook matplotlib numpy pandas python

Last synced: 09 Apr 2026

https://github.com/fikri-rouzan/energy-consumption-prediction

Final Project for the AI/ML Weekly Class by Google Developer Group on Campus (GDGoC) UIN Jakarta.

jupyter-notebook matplotlib numpy pandas python scikit-learn scipy seaborn

Last synced: 07 Apr 2026

https://github.com/athiyaman-m/brain-tumor-classification-using-deep-learning

• This deep learning model is developed to classify and identify different types of brain tumors, as well as determine their existence, using Convolutional Neural Networks. This is achieved through the training and testing of 3264 MRI images.

keras numpy opencv pandas sklearn tensorflow

Last synced: 08 Apr 2026

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

Este projeto realiza o web scraping de Variação de preços de produtos do supermercado

env numpy pandas scrapy sqlite3 streamlit

Last synced: 29 Apr 2026

https://github.com/dmarks84/coursework_project_ml-classifier-eval-selection

Project for University of Michigan Applied Data Science Specialization -- Predicted viewer engagement based on features related to video metrics; evaluated a large set of classifiers under different scoring metrics to select the "optimal" one.

classification cross-validation data-modeling data-reporting data-visualization databases dataframes eda grid-search matplotlib numpy pandas python scikit-learn statistics supervised-ml

Last synced: 02 Apr 2026

https://github.com/farzeennimran/fashion-mnist-dataset-classification-using-neural-network

Implementation of a Multi-layer Perceptron classifier with hyperparameter tuning and k-fold cross-validation employing GridSearchCV for classifying images on the Fashion MNIST dataset 👗👚👖

artificial-intelligence data-analysis data-mining data-science dataset deep-learning fashion-mnist-dataset gridsearchcv hyperparameter-tuning kfold-cross-validation machine-learning multilayer-perceptron-network neural-network numpy pandas python sklearn

Last synced: 03 Apr 2026

https://github.com/aneeshmurali-n/ann-diabetes-prediction

Predicting diabetes progression using an Artificial Neural Network (ANN). This project leverages the scikit-learn diabetes dataset for training and evaluation. Includes data preprocessing, model building, and performance visualization.

ann data-preprocessing data-visualization deep-learning diabetes-prediction exploratory-data-analysis keras machine-learning matplotlib neural-network numpy pandas regression scikit-learn seaborn tensorflow visualization

Last synced: 07 Apr 2026

https://github.com/debjyotisaha/generative-ai-projects

A set of Generative AI projects which can be shown in your portfolio

chatgpt flask genai langchain nlp numpy pandas python streamlit

Last synced: 07 Apr 2026

https://github.com/pramodyasahan/learn-ml

This repository serves as both a personal learning diary and a resource for others interested in understanding and applying machine learning concepts. The projects are categorized based on the type of ML model and are implemented in Python using libraries like scikit-learn, pandas, and numpy.

classification clustering machine-learning matplotlib numpy pandas regression scikit-learn supervised-learning unsupervised-learning

Last synced: 07 Apr 2026

https://github.com/al-ghaly/global-warming-analysis

Analyze the effect of global warming on the average temperature of some of USA states.

matplotlib-pyplot numpy python python-visualization

Last synced: 10 May 2026

https://github.com/anthippi/naive-bayes-imdb-classification

A custom Naive Bayes classifier for sentiment analysis of movie reviews from the IMDb dataset, utilizing feature selection based on Information Gain and comparing its performance with scikit-learn's BernoulliNB.

classification imdb matplotlib naive-bayes-classifier numpy pandas scikit-learn sklearn

Last synced: 09 Apr 2026

https://github.com/ahmedabdalkreem/breast-cancer

It help to know the patient have breast cancer or not and show some of diagram analysis data to know what depenent in this disease that lead to this disease.

matplotlib numpy pandas python sklearn-library

Last synced: 07 Apr 2026

https://github.com/saikiran-erukonda/drug-labels-side-effects-analysis--a-ml-approach

An end-to-end real-time project on pharmaceutical data, focused on exploring statistical modeling, hypothesis testing, machine learning, and business intelligence techniques.

datascience-machinelearning matplotlib-figures numpy pandas python seaborn

Last synced: 17 Feb 2026

https://github.com/asier-ortiz/apuntes-ia-ds

Materiales y apuntes del curso de IA y Ciencia de Datos

keras matplotlib numpy pandas python sckiit-learn seaborn tensorflow

Last synced: 09 Apr 2026

https://github.com/henrique-efonseca/salary-range-distribution-tool

A web application to help job applicants propose an optimal salary within a given range using a normal distribution approach. Built with Python, Flask, Numpy, Scipy and JavaScript.

flask javascript numpy python scipy

Last synced: 02 Feb 2026

https://github.com/shortthirdman/predictorxvault-cookbook

Master Machine Learning: A Collection of Classification & Regression Algorithms in Action

classification-algorithm jupyter-notebook jupyterlab keras matplotlib numpy pandas python python3 pytorch regression regression-models tensorflow

Last synced: 13 Apr 2026

https://github.com/lefteris-souflas/the-algorithmic-approach-to-winning-guess-who

This repository provides a systematic approach to winning the "Guess Who?" game through advanced machine learning techniques. It offers a comprehensive methodology for enhancing gameplay strategy and optimizing decision-making processes with meticulous attention to detail.

decision-tree drawio gradient-boosting graphviz-dot lightgbm machine-learning matplotlib numpy pandas python random-forest scikit-learn

Last synced: 09 Apr 2026

https://github.com/mateuszskoczek/3drenderer

A simple 3D renderer that allows you to move around the scene using the keys.

3d 3d-graphics computer-graphics numpy pygame python rendering

Last synced: 17 May 2026

https://github.com/mike014/chatbot_app

Chabot is an application with a graphical user interface that uses various natural language processing (NLP) techniques to tokenize, stem, find stop words, and apply regular expressions to user-input text. The interface is built using Tkinter.

deep-learning dialogpt keras-neural-networks keras-tensorflow knn machine-learning-algorithms ml natural-language-processing nlp nltk nltk-python numpy pca python seq2seq tensorflow textpreprocessing tk tokenizer

Last synced: 09 Feb 2026

https://github.com/ahmedabdalkreem/diabetes

Complete project of people that have diabetes and show what features that explain that person be sick.

bagging-ensemble classification descision-tree ensemble logistic-regression matplotlib numpy pandas python3 sklearn svm voting-classifier

Last synced: 05 Apr 2026

https://github.com/sandyg6/breast-cancer-classification

Building a Breast cancer classification model using Random Forest Classifier and deploying it to a web application using Flask framework

flask html-css-javascript numpy pandas python random-forest-classifier

Last synced: 05 Apr 2026