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/rlxchap2/crypto-miner

🔨Crypto Miner is a Python project designed to encrypt and decrypt files, especially images, using the powerful cryptography library

crypto cryptography csv numpy pillow python

Last synced: 08 May 2026

https://github.com/adityakumarda/kmeans-web-analytics

Built with Python, Pandas, and Scikit-learn, this machine learning project uses K-Means to cluster website users by behavior. It reveals patterns in engagement and bounce, helping drive data-informed decisions.

cluster-analysis elbow-curves elbow-method elbow-plot jupyter-notebook kmeans-clustering machine-learning matplotlib numpy pandas python python3 relationship scikit-learn seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/dineshdhamodharan24/amazon-reviews-sentiment-analysis

This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.

matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/munawar-code/car_price_predictor

This project is a ML-based car price prediction system. The model is built using Jupyter Notebook for training and evaluation, while a simple one-page website was developed using Pycharm to provide interface for users to input car details and get price predictions.

datapreprocessing datavisualization exploratory-data-analysis feature-engineering flask-application html-css-javascript linear-regression machine-learning-algorithms matplotlib numpy pandas python scikitlearn-machine-learning

Last synced: 13 Apr 2026

https://github.com/aneeshmurali-n/project-ml-data-preprocessing

The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.

data-analysis data-cleaning data-encoding data-exploration feature-scaling label-encoding matplotlib minmaxscaler numpy one-hot-encoding outlier-detection pandas standardscaler

Last synced: 02 May 2026

https://github.com/anubhavkumar31/simple-heart_disease_prediction-using-logisticregression

Its a simple yet good model which predicts if a person have heart disease or not. This is a binary classification model i.e its output is either 0(dont have heart disease) or 1 (have heart disease).

logistic-regression machine-learning numpy python sklearn sklearn-linear-model sklearn-metrics

Last synced: 10 Apr 2026

https://github.com/jaweria-b/eda-basketball

The Streamlit app analyzes NBA player stats with user-selected filters, offering data download and intercorrelation heatmap.

matplotlib numpy python streamlit

Last synced: 10 Apr 2026

https://github.com/niteshchawla/logistics-nn-regression

The case study is about India's Largest Marketplace for Intra-City Logistics. This dataset has the required data to train a regression model that will do the delivery time estimation, based on all those features.

adam-optimizer data-visualization encoding exploratory-data-analysis feature-engineering hidden-layers hyperparameter-tuning keras-tensorflow kerastuner metrics neural-network numpy pandas regression relu scaling sequential-models

Last synced: 10 Apr 2026

https://github.com/elon-fask/nlp_num1

Natural Language Processing with Disaster Tweets

ai machine-learning nlp nlp-machine-learning numpy pandas python text-processing

Last synced: 10 Apr 2026

https://github.com/ahmedabdalkreem/speech-recognition

In this project we deal with audio dataset to make classification between ten audio and make preprocssing in it using Librosa and Scipy then be input of Neural Network Model.

librosa matplotlib neural-network numpy pandas python3 scipy sklearn tensorflow

Last synced: 11 Apr 2026

https://github.com/matx64/birads-classifier

Breast Imaging Report and Data System (BIRADS) with Graphical User Interface.

numpy pillow skimage sklearn tkinter

Last synced: 20 Apr 2026

https://github.com/fedesgh/parkinson_volatility_spread_on_cedears

Creating a function that returns a graph with the difference between Parkinson's volatility and regular volatility given a certain bounds

numpy pandas pickle seaborn

Last synced: 10 Apr 2026

https://github.com/crvargasm/moore-penrose-matrix

A small implementation of an algorithm that is capable of computing the Moore-Penrose inverse of any matrix.

numerical-methods numpy python

Last synced: 10 Apr 2026

https://github.com/paraskevi-kivroglou/rl-pong-agent

A project by Paraskevi Kivroglou as part of exploring deep reinforcement learning applications.

atari atari-games gym-environment gymnasium numpy python3 pytorch q-learning reinforcement-learning reinforcement-learning-agent

Last synced: 11 Apr 2026

https://github.com/farhad-here/data-visualization-analysis-dva

This is my data analysis project. Users can use this project to clean and preprocessing the date or data visualization. Individuals can impute or ecnode ther dataset.

altair bokeh data-analysis data-analysis-python io matplotlib numpy pandas plotly python sklearn streamlit

Last synced: 11 Apr 2026

https://github.com/hansalemaos/hexarray2decimal

Converts a numpy string array with hex values to int

convert hex int numpy python

Last synced: 05 May 2026

https://github.com/pardhuu66/college-id-validator

FastAPI-based offline College ID Validator with Docker support

base64 dnn docker easyocr fastapi mobilenetv2 numpy onnx onnxruntime opencv pillow pydantic python tensorflow uvicorn

Last synced: 11 Apr 2026

https://github.com/rkarahul/face-detection-using-opencv-

•Build a face detection project using OpenCV and haar cascades, which are the better choice for real-time detection.

haar-cascade-classifier machinelearning numpy pandas-library python3 tkinter

Last synced: 08 May 2026

https://github.com/jigyasag18/fake-news-prediction-app

The Fake News Prediction App Repository offers a machine learning project that focuses on identifying the authenticity of news articles as fake or real. It uses a dataset of 20,000 articles and employs methods such as TF-IDF vectorization and the Lemmatization algorithm, achieving ~95% classification accuracy with random forest classifier model

data datapreprocessing logistic-regression machine-learning machine-learning-algorithms numpy pandas prediction stemming streamlit streamlit-webapp vectorization

Last synced: 11 Apr 2026

https://github.com/dmarks84/coursework_project_apache-airflow-kafka-on-toll-booth-data

Project for IBM Data Engineering & Python course on ETL & Big Data -- Read in live toll booth data, wrangles and transformed, and wrote into a SQL database

apache-airflow apache-kafka automation dags data-modeling databases eda elt etl mysql numpy pandas pipelines python sql

Last synced: 11 Apr 2026

https://github.com/alexixrugis/perceptronvisualization

Visualization of training and operation of a perceptron written from scratch in numpy

ai machine-learning numpy python

Last synced: 11 Feb 2026

https://github.com/mehradi-github/ref-jupyter-2510

using python in machine learning

matplotlib numpy pandas python sklearn statistics

Last synced: 11 Apr 2026

https://github.com/lucasgleria/seamese-network-algorithm

Este projeto implementa um sistema de busca por similaridade de imagens usando redes siamesas e Triplet Loss em PyTorch. Ele gera embeddings de imagens (MNIST com EfficientNet-B0) para encontrar visuais semelhantes. O foco está na análise visual e no aprendizado de representações no espaço vetorial.

google-colab matplotlib numpy pandas python pytorch timm

Last synced: 11 Apr 2026

https://github.com/abrarshahok/electric-vehicle-charging-station-energy-consumption-prediction

With the rapid adoption of electric vehicles, optimizing energy usage at charging stations has become crucial for improving operational efficiency and ensuring customer satisfaction. This tool leverages predictive modeling to forecast energy consumption for charging sessions based on various input features.

matplotlib numpy pandas plotly python3 scikit-learn xgboost

Last synced: 09 Jun 2026

https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure

A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.

eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn

Last synced: 11 Apr 2026

https://github.com/vishnu-vamshii/heart-disease-prediction-using-ml

This project presents an end-to-end data analysis and machine learning pipeline for predicting heart disease using a publicly available dataset. The project includes data exploration, visualization, and implementation of various machine learning models to predict the likelihood of heart disease based on a set of clinical attributes.

machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 11 Apr 2026

https://github.com/talapanenivarshithchowdary/asteroid-detection-ml

This project uses Machine Learning to detect and classify asteroids based on trajectory and size, aiding in Near-Earth Object detection and planetary defense.

classification data-science decision-trees jupyter-notebook knn logistic-regression machine-lea matplotlib numpy pandas pillow prediction python3 random-forest scikit-learn

Last synced: 11 Apr 2026

https://github.com/nishi1612/knight-tour-problem

IT485 Logic of Inference Project on Knight's Tour. A hamiltonian path problem to determine path of knight to travel entire chessboard with every cell visited only once.

backtracking-algorithm bootstrap flask html knights-tour localhost numpy pygame python tkinter warnsdorff

Last synced: 11 Apr 2026

https://github.com/jbalooshie/movies-etl

Exercise working with movie datasets from Kaggle and Wikipedia. Python is used to extract, clean, and combine the data, and then it is loaded into a postgreSQL database.

data-analysis data-science jupyter-notebook numpy pandas postgresql postgresql-database python sqlalchemy

Last synced: 11 Apr 2026

https://github.com/supreme-gg-gg/beam-analysis

Fast, customisable, intuitive web application to simplify beam analysis. Certified by Bob the Builder.

civil-engineering matplotlib numpy python streamlit structural-analysis

Last synced: 11 Apr 2026

https://github.com/chernyakid/bank-clients-churn-research

Анализ оттока клиентов в Метанпромбанке

jupyter numpy pandas python scipy seaborn

Last synced: 11 Apr 2026

https://github.com/shubhamahobia/lstm-hamlet

The LSTM Next Word Prediction project trains a model on Hamlet to predict the next word in a sequence. After preprocessing the text, an LSTM network learns patterns in the language. The trained model can then generate text by predicting the next word in a given sequence, with its accuracy evaluated to ensure it effectively models the language.

deep-learning github hamlet lstm lstm-neural-network lstm-neural-networks machine-learning neural-network nltk numpy pandas pickle python

Last synced: 11 Apr 2026

https://github.com/samuele-lolli/data-analytics-techniques

A practical approach to data analytics pipeline.

numpy pandas pytorch scikit-learn

Last synced: 11 Apr 2026

https://github.com/ashishsingh789/titanic_dataset_eda_and_visualization

This repository contains an exploratory data analysis (EDA) of the Titanic dataset. Key analyses include survival rates by gender, passenger class, age distribution, family size, and correlation heatmaps.

data data-science dataanalysis matplotlib numpy pandas pandas-dataframe python seborn visualisation

Last synced: 11 Apr 2026

https://github.com/thaisgarcia/convert-censo-file

Este repositório contém scripts Python para processar dados destinados ao censo do MEC, incluindo a leitura de um arquivo TXT, a geração de um arquivo Excel e a conversão desse arquivo Excel de volta para um formato de texto.

numpy pandas python

Last synced: 11 Apr 2026

https://github.com/ebadshabbir/logistic_regression-binomial-

Logistic Regression on Social Network Ads Dataset This project applies Logistic Regression to predict whether a user will purchase a product based on their age and estimated salary, using the Social Network Ads dataset. The data is split into training and test sets, with feature scaling applied for normalization.

classification jupyter-notebook logistic-regression machine-learning matplotlib-pyplot numpy pandas python sklearn

Last synced: 11 Apr 2026

https://github.com/vyjayanthipolapragada/fraud_detection_creditcard

Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML

classification-model data-preprocessing decision-tree-classifier kaggle-dataset machine-learning numpy pandas python scikit-learn snapml time tree-model

Last synced: 11 Apr 2026

https://github.com/dharma-acha/resnet18_imageclassification_cnn

In this part of the project, we implement ResNet-18 from scratch using PyTorch and train it on an image dataset to achieve over 75% accuracy. We apply techniques to prevent overfitting and optimize performance, aiming for an accuracy of 80% or higher.

matplotlib numpy python3 pytorch scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/shwetajanwekar/hr-data-analytics

Analyze the HR data through exploratory data analysis, we identified key factors influencing employee attrition, satisfaction levels, and performance. Machine learning models enabled us to predict employee churn and classify potential candidates for promotion.

matplotlib numpy pandas seaborn

Last synced: 19 Apr 2026

https://github.com/prashhhant213/cardioflex-treadmill-analysis-using-descriptive-statistics-probability

Description Analysis and Visualization on CardioFlex Treadmill data to provide insights and recommendations to improve their userbase.

colab-notebook numpy pandas probability python stats

Last synced: 11 Apr 2026

https://github.com/snghrsw/kikagaku-ml-learning

Pythonで単回帰分析と重回帰分析、ディープラーニングで回帰と分類

liner-regestion multiple-regression numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/richardbmk/datascience_machinelearning

projects related with data science and machine learning projects.

data-science machine-learning matplotlib numpy pandas scikit-learn scipy seaborn

Last synced: 11 Apr 2026

https://github.com/elmezianech/email-spam-ham-classifier-nb-hard

Naive Bayes Email Classifier: An implementation of a 'hard' Naive Bayes classifier in Python to categorize emails as spam or ham. This code performs extensive data preprocessing, probability calculations, and model training for email classification using the raw Naive Bayes algorithm.

ai emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering

Last synced: 11 Apr 2026

https://github.com/aaaastark/textclassification-nlp-project

Dataset preparation, Feature Engineering, Model Building, Summary Statistics, Data Exploration by Visualizations, and Save File CSV

matplotlib nltk numpy pandas python seaborn sklearn textblob wordcloud

Last synced: 11 Apr 2026

https://github.com/lorenzorottigni/dl-lending-club

Deep Learning python bootcamp: deep learning on Lending Club dataset

deep-learning ipynb keras machine-learning numpy pandas python scikit-learn seaborn tensorflow

Last synced: 11 Apr 2026

https://github.com/jagroop2001/learning-numpy

Learning NumPy complete the exercise

numpy pandas python

Last synced: 16 May 2025

https://github.com/moustafamohamed01/car-price-prediction

Car Price Prediction using Linear Regression A machine learning model that predicts car prices based on features like name, company, year, kilometers driven, and fuel type. Built with Linear Regression and deployed as a Streamlit web app.

data-science jupyter-notebook linear-regression machine-learning numpy pandas python sickit-learn sklearn streamlit

Last synced: 11 Apr 2026

https://github.com/reubenmathew/docscanner

📸 Document Scanner using an OpenCV Edge Detection Engine

flask numpy opencv python

Last synced: 11 Apr 2026

https://github.com/nauxqouh/python-for-data-science-labs

This repo contains weekly practical codes for my Python for Data Science course at university.

data-science jupyter-notebook numpy pandas python pytorch scikit-learn

Last synced: 11 Apr 2026

https://github.com/sudarsann27/basic_machine_learning_algorithms

Basic Machine learning algorithms using scikit-learn and other fundamental libraries

data-science data-visualization ensemble-model kaggle numpy pandas scikit-learn supervised-machine-learning

Last synced: 20 Jan 2026

https://github.com/rutujaingole/jailbreaking-deep-models

This repository contains the codebase for Jailbreaking Deep Models, which investigates the vulnerability of deep convolutional neural networks to adversarial attacks. The project systematically implements and analyzes Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and localized patch-based attacks on the pretrained

adversarial-attacks deep-learning densenet121 fgsm-attack imagenet-classifier jailbreak machine-learning numpy patch-based-attack pgd-adversarial-attacks torch

Last synced: 14 May 2026

https://github.com/coderjolly/employee-information-retrieval-system

An information retrieval system constructed using Flask to perform ETL operations while ingesting New York Payroll data and provide a frontend user interface for manipulating filters and queries.

etl flask mvc numpy pandas python sqlite3

Last synced: 11 Apr 2026

https://github.com/adi3042/sensor-fault-detection

🔍⚙️ Ensure Reliable Operations! Detect anomalies and prevent disruptions with our Sensor Fault Detection system. Explore advanced classification and regression techniques to identify and address sensor faults effectively. Your path to robust and accurate sensor data begins here! 🚨🔧 SensorFaultTech

classification css datetime fault-detection flask functools html ipykernel jupternotebook machine-learning numpy pandas python3 readme regression scikit-learn sensor setuptools venv

Last synced: 11 Apr 2026

https://github.com/alphan26/breastcancerclassification

This project involves a binary classification problem where we applied PyTorch to detect breast cancer.

matplotlib numpy pandas python pytorch

Last synced: 11 Apr 2026

https://github.com/hmourad2023/tweets_sentiments_emotions_analysis

Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle

nltk numpy pandas sklearn

Last synced: 01 Aug 2025

https://github.com/muhammad-rebaal/eda-with-python-and-pandas

Explore, Analyze, and Visualize Data with Python and Pandas: Dive into the world of data analysis and visualization using Python and Pandas with this repository. Discover valuable insights, clean and preprocess your data, and create stunning visualizations to make data-driven decisions.

calmap matplotlib numpy pandas python python3 seaborn

Last synced: 07 May 2026

https://github.com/psycho-poodle/simple_rnn_imdb

This repository contains a simple web application for sentiment analysis of movie reviews using a pre-trained RNN model. The application is built with TensorFlow and Streamlit, making it easy to use and deploy.

numpy python streamlit tensorflow

Last synced: 11 Apr 2026

https://github.com/nishantksingh0/twitter-sentiment-analysis

A ML/DL based Twitter sentiment analysis model based on Transformer based pretrained Encoding on sentence

kaggle-dataset matplotlib-pyplot nlp numpy pandas sklearn tensorflow transformer

Last synced: 11 Apr 2026

https://github.com/nickklos10/league-of-legends-match-predictor

Predicting League of Legends Match Outcomes Using Logistic Regression and PyTorch.

jupyter-notebook matplotlib numpy pandas pytorch scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/tigureis/aula_deployment

This project not only demonstrates a machine learning pipeline but also serves as a template for deploying models into production. By leveraging the project's structure and code, you can streamline the process of deploying your own machine learning models.

numpy pandas pickle sklearn

Last synced: 11 Apr 2026

https://github.com/dmarks84/coursework_project_ml-classification

Project for IBM Data Science course on Machine Learning -- Trained ML models for classification, evaluating based on a variety of metrics

classification communication data-modeling dataframes numpy pandas python scikit-learn supervised-ml

Last synced: 11 Apr 2026

https://github.com/collins-kimotho/wrangle-and-analyze-project

Data Wrangling and Analysis Project: Analyzing WeRateDogs Twitter Account Data

explanatory-data-analysis exploratory-data-analysis matplotlib numpy pandas python twitter twitter-api

Last synced: 11 May 2026

https://github.com/shahzaibdev355/house-recommendation-backend

House Recommendation Backend is a Flask-based API that provides house recommendations based on user input. It includes endpoints to check the backend's functionality, fetch state data, and get personalized house recommendations based on criteria like price, property size, number of beds, number of baths, and state.

flask flask-api flask-cors numpy pandas scikit-learn tensorflow

Last synced: 05 Jan 2026

https://github.com/bhuvilol/objdetect_img

Object Detecttion from a image input

numpy opencv python3 pytorch yolov8

Last synced: 04 Feb 2026

https://github.com/beberiche/jeon-woo-chi

지역 축제를 기반으로 하는, 게이미피케이션을 접목시킨 지역 상권 맞춤 추천 서비스

aws django docker elasticsearch grafana jenkins kibana logstash numpy pandas phaserjs prometheus react react-query recoil redis spring-boot tensorflow typescript zipkin

Last synced: 10 Mar 2026

https://github.com/pakagronglb/istanbul-restaurant-tips-prediction

This project focuses on predicting restaurant tips in Istanbul using machine learning techniques, specifically Linear Regression. The analysis includes data preprocessing, exploratory data analysis (EDA), model training, and evaluation.

kaggle matplotlib numpy pandas prediction python scikit-learn seaborn

Last synced: 08 Apr 2026

https://github.com/shudhanshusaurabh001/super_market-data-analysis-using-python

This project focuses on analyzing supermarket sales data using Python. The goal is to extract meaningful insights from the dataset, such as sales trends, customer purchasing behavior, and product performance.

analysis csv data insights matplotlib numpy pandas project python seaborn

Last synced: 06 Apr 2026

https://github.com/hansalemaos/fortran2cc2fortran

Fortran to C / C to Fortran (nested) index converter

c converter fortran index numpy

Last synced: 11 Apr 2026

https://github.com/ralolooafanxyaiml/neural-evolution-engine

A modular AI evolution simulation engine built with Python and TensorFlow. Uses Deep Learning to predict organism adaptations against environmental threats.

artificial-intelligence deep-learning evolution-simulation keras machine-learning neural-networks numpy oop pandas python scikit-learn simulation tensorflow

Last synced: 07 Jan 2026

https://github.com/hafaio/hilbert-bytes

A python library for converting between d-dimensional points and indices on a hilbert curve

hilbert-curve numba numpy python

Last synced: 12 Feb 2026

https://github.com/bilalm04/autonomous-lane-detection

An autonomous lane detection system leveraging OpenCV to process images and videos, accurately identifying lanes and providing key visualizations.

artificial-intelligence computer-vision lane-detection machine-learning matplotlib numpy opencv python

Last synced: 20 Jan 2026

https://github.com/pymivn/vinastats

Khám phá các sự thật ở Việt Nam với thống kê và số liệu từ tổng cục thống kê Việt Nam

numpy pandas statistics vietnam

Last synced: 02 Apr 2026