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Projects in Awesome Lists tagged with classification-model

A curated list of projects in awesome lists tagged with classification-model .

https://github.com/dominance-analysis/dominance-analysis

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

classification-model dominance dominance-analysis dominance-statistics feature-engineering feature-importance feature-selection keydrivers logistic-regression multiple-regression predictor predictor-importance pseudo-r-square r-square regression-models relative-importance shapley-value

Last synced: 01 May 2025

https://github.com/yuanxiaosc/multimodal-short-video-dataset-and-baseline-classification-model

500,000 multimodal short video data and baseline models. 50万条多模态短视频数据集和基线模型（TensorFlow2.0）。

classification-model multimodal-datasets tensorflow-models video-dataset

Last synced: 02 May 2025

https://github.com/chrisprasanna/exercise_recognition_ai

Developing a virtual personal fitness tracker and exercise activity recognition A.I. using computer vision and deep learning.

activity-recognition attention-mechanism classification-model computer-vision deep-learning human-pose-estimation lstm-neural-networks machine-learning pose-estimation real-time

Last synced: 21 Jul 2025

https://github.com/kanchitank/medibuddy-smart-disease-predictor

Multiple disease prediction such as Diabetes, Heart disease, Kidney disease, Breast cancer, Liver disease, Malaria, and Pneumonia using supervised machine learning and deep learning algorithms.

breast-cancer-prediction classification-model cnn deep-learning diabetes-prediction heart-disease-prediction kidney-disease-prediction liver-disease-prediction machine-learning malaria-prediction multiple-disease-prediction neural-networks pneumonia-prediction

Last synced: 21 Jul 2025

https://github.com/nvidia-ai-iot/ros2_torch_trt

ROS 2 packages for PyTorch and TensorRT for real-time classification and object detection on Jetson Platforms

ai-iot classification-model deep-learning jetson object-detection pytorch real-time resnet-18 robotics ros2 ssd-mobilenet tensorrt

Last synced: 28 Jun 2025

https://github.com/cjekel/tindetheus

Build personalized machine learning models for Tinder using Python

classification-model computer-vision database facenet facenet-models machine-learning machinelearning python tinder

Last synced: 20 Aug 2025

https://github.com/sukhitashvili/violence-detection

Deep learning based algorithm which is capable of detecting violence in indoor or outdoor environments: fight, fire or car crash and even more

car-accidents-detection classification-model deep-learning fire-detection violence-detection

Last synced: 09 Apr 2025

https://github.com/aravind-selvam/forest-fire-prediction

Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.

classification-model data-science flask-application jupyter-notebook machine-learning ml prediction-model python regression-models sklearn

Last synced: 11 Apr 2025

https://github.com/nghuyong/bert-classification-tf-serving

Use BERT to train a classification model and deploy the model by tensorflow serving

bert classification-model tensorflow tensorflow-serving

Last synced: 25 Apr 2025

https://github.com/asalavaty/influential

Identification and Classification of the Most Influential Nodes

centrality-measures classification-model influence-ranking network-analysis priaritization-model r r-package

Last synced: 22 Oct 2025

https://github.com/trinker/termco

Regular Expression Counts of Terms and Substrings

classification-model frequent-terms r regex regex-model regular-expression terms-count

Last synced: 10 Jul 2025

https://github.com/emuell/afec

Cross platform audio feature extraction and sound classification tool

afec audio-classification audio-feature-extraction audio-features audio-formats classification-model lightgbm machine-learning

Last synced: 09 Oct 2025

https://github.com/mamba413/bess

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

classification-model feature-selection poisson-regression regression-models sparse-linear-systems survival-analysis variable-selection

Last synced: 21 Mar 2025

https://github.com/dnum-mi/basegun

Web app for identifying a firearm based on a picture

classification-model firearms python pytorch vue

Last synced: 29 Jul 2025

https://github.com/vivekkhimani/federated_learning_pysyft

A simple federated learning implementation on MNIST dataset using PySyft. Main goal of the project was to get used to the PySyft federated learning functionality instead of using traditional PyTorch features.

classification-model federated-learning mnist pysyft pytorch workers

Last synced: 23 Aug 2025

https://github.com/chinmayrane16/titanic-survival-in-depth-analysis

Used Pandas , Matplotlib , Seaborn libraries to Analyze , Visualize and Explore the data of people travelling on Titanic, and Used Scikit-learn Modelling Algorithms to predict their probability of Survival.

classification-model data-cleaning data-visualization feature-engineering matplotlib numpy pandas seaborn

Last synced: 11 Oct 2025

https://github.com/sarthak-1408/indian-food-classification

This Repo Represents Indian Food Classification and with the help of this project you can easily identify the Indian food

classification-model deep-learning deep-neural-networks flask flask-application image-classification keras-neural-networks keras-tensorflow tensorflow

Last synced: 25 Sep 2025

https://github.com/asaficontact/project_floodlight

Crisis incidents caused by rebel groups create a negative influence on the political and economic situation of a country. However, information about rebel group activities has always been limited. Sometimes these groups do not take responsibility for their actions, sometimes they falsely claim responsibility for other rebel group’s actions. This has made identifying the rebel group responsible for a crisis incident a significant challenge. Project Floodlight aims to utilize different machine learning techniques to understand and analyze activity patterns of 17 major rebel groups in Asia (including Taliban, Islamic State, and Al Qaeda). It uses classification algorithms such as Random Forest and XGBoost to predict the rebel group responsible for organizing a crisis event based on 14 different characteristics including number of fatalities, location, event type, and actor influenced. The dataset used comes from the Armed Conflict Location & Event Data Project (ACLED) which is a disaggregated data collection, analysis and crisis mapping project. The dataset contains information on more than 78000 incidents caused by rebel groups that took place in Asia from 2017 to 2019. Roughly 48000 of these observations were randomly selected and used to develop and train the model. The final model had an accuracy score of 84% and an F1 Score of 82% on testing dataset of about 30000 new observations that the algorithm had never seen. The project was programmed using Object Oriented Programming in Python in order to make it scalable. Project Floodlight can be further expended to understand other crisis events in Asia and Africa such as protests, riots, or violence against women.

acled asia classification-model crisis grid-search grid-search-hyperparameters matplotlib object-oriented-programming pandas python3 random-forest sklearn xgboost-model

Last synced: 18 Jun 2025

https://github.com/chicolucio/ifood-case-data-analyst

Projeto de ensino para o curso Ciência de Dados ministrado por mim na Hashtag

classification-model clustering data-science python segmentation sklearn sklearn-pipeline teaching

Last synced: 07 Oct 2025

https://github.com/noraj/xss-classification-model

:speech_balloon: XSS classification model - Types of Cross-Site Scripting

classification-model cross-site-scripting xss xss-classification-model

Last synced: 11 Jun 2025

https://github.com/tempdata73/tic-tac-toe

Play Tic Tac Toe against the computer using OpenCV and Keras

classification-model computer-vision opencv

Last synced: 12 Jul 2025

https://github.com/hasansust32/phishing_detection_using_machine_learning

This is a completely machine-learning based task. We used a dataset from kaggle with 1154 website details with 32 features. More significantly, we experimented with a considerable number of machine learningmethods on actual phishing datasets and against various criteria. We identify phishing websites using six distinct machine learningclassification methods. This research obtained a maximumachievable accuracy rate of 97.17 percent for the Random Forestrule and 94.75 percent for the Gradient Boost Classifier. The Provisioningaccuracy is 94.69 percent with the Decision Tree classifier, 92.76 percent with Logistic Regression, 60.45 percent with KNN, and 56.04 percent with SVM.

classification-model machine-learning phishing phishing-attacks phishing-detection security-vulnerability

Last synced: 09 May 2025

https://github.com/tushar-ml/darkneuron

This Library will deal with the implementation of Automatic Deep Learning which can reduce the time and Complexity for non-technical users and Specialists in this field to train their own networks with significant accuracies and can perform Image Classification, Object Detection and hybridization of Models.

automation-framework classification-model keras keras-tensorflow object-detection python yolov4

Last synced: 23 Mar 2025

https://github.com/repetere/jsonstack-model

Deep Learning Classification, LSTM Time Series, Regression and Multi-Layered Perceptrons with Tensorflow

ai classification-model deep-learning machine-learning multivariate-linear-regression nlp-machine-learning tensorflow

Last synced: 23 Apr 2025

https://github.com/ozzy-zy/ai_project_1_sentimentanalysis

a small Sentiment analysis Deep learning model that classifies movies Reviews either Positive or Negative using neural networks layers

ai classification-model deep-learning neural-networks nlp sentiment-analysis tensorflow

Last synced: 20 Jun 2025

https://github.com/dnth/huggingface-timm-mobile-blogpost

Bringing High-Quality Image Models to Mobile: Hugging Face TIMM Meets Android & iOS

android classification-model computer-vision dart disease-prediction flutter huggingface image ios python

Last synced: 14 Apr 2025

https://github.com/ichowdhury01/quantum-nlp-circuit-visualizer-and-text-classifier

An API that uses the Quantum NLP library lambeq to build and visualize quantum circuits and train a text classifier with 93% accuracy

classification-model discocat lambeq natural-language-processing python quantum-computing

Last synced: 07 May 2025

https://github.com/sudiptob2/agrgb-front

React front end of Image classification app AgRGB for detecting leaf disease in plant Leafs.

classification-model disease-detection image-processing-react machine-learning plant-disease react react-front-end react-image-crop react-image-upload

Last synced: 29 Apr 2025

https://github.com/hunterdii/digipic-classifier

DigiPic-Classifier is a powerful image classification app built with Streamlit. It features two models: CIFAR-10 Object Recognition to classify objects like airplanes, cars, animals, and more, and MNIST Digit Classification for recognizing handwritten digits. With a sleek interface and real-time predictions, DigiPic-Classifier offers a seamless

canvas cifar-10-classifier cifar10-classification classification-model digital-image-processing image-classification image-recognition machine-learning mnist-handwriting-recognition mnist-image-dataset

Last synced: 12 Oct 2025

https://jared-fowler.github.io/prettyglm/

prettyglm provides a set of functions which can easily create beautiful coefficient summaries which can readily be shared and explained.

classification classification-model data-science data-visualization glm linear-models r r-package regression regression-analysis regression-model regression-models rstats rstats-package statistical-models

Last synced: 25 Nov 2025

https://github.com/d4vidsha/food-groups-classification-model

A machine learning model that uses nutrition information to classify foods into food groups.

classification-model food machine-learning nutrition-information

Last synced: 16 May 2025

https://github.com/4darsh-dev/dark_pattern_detector_app

Dark Pattern Detection using fine Tuned BERT Model, powered by CogniGuard project with streamlit web app

ai bert bert-fine-tuning classification-model deep-learning nlp

Last synced: 15 Mar 2025

https://github.com/rikcav/pokemanos

Projeto para descobrir o tipo de um Pokémon através de suas características básicas. Desenvolvido na disciplina da Inteligência Artificial.

ai ai-algorithms artificial-intelligence classification classification-algorithm classification-model pokemon

Last synced: 14 Mar 2025

https://github.com/noraj/xss-classification-model-slideshow

:spiral_notepad: A presentation about XSS classification model - Types of XSS evolution

classification-model cross-site-scripting presentation slideshow xss xss-classification-model

Last synced: 16 Jun 2025

https://github.com/jared-fowler/prettyglm

prettyglm provides a set of functions which can easily create beautiful coefficient summaries which can readily be shared and explained.

classification classification-model data-science data-visualization glm linear-models r r-package regression regression-analysis regression-model regression-models rstats rstats-package statistical-models

Last synced: 23 Apr 2025

https://github.com/asigalov61/B-CLassi

Full-featured binary MIDI classifier implemented in TensorFlow

classification-model classifier midi midi-classification music-ai tensorflow

Last synced: 14 Jul 2025

https://github.com/devopsthinh/ai-tensorflow-2

Understanding Machine Learning and Unleash the Power of TensorFlow by Training Classification models for Image Recognition.

artificial-intelligence classification-model convolutional-neural-networks fashion-mnist image-classification image-recognition machine-learning mnist-dataset tensorflow tensorflow2

Last synced: 16 Mar 2025

https://github.com/gokulnpc/dog-vs-cat-classification

This web app is a simple image classification app that uses a pre-trained model to classify images of dogs and cats. The model is trained using the MobileNet V2 architecture with ImageNet pre-trained weights. This is a SavedModel in TensorFlow 2 format. Using it requires TensorFlow 2 (or 1.15) and TensorFlow Hub 0.5.0 or newer.

classification-model deep-learning machine-learning neural-networks streamlit

Last synced: 24 Aug 2025

https://github.com/markoshb/machine-learning-subject

Implementation of multiclass classification problems in R

classification-model data-analysis r

Last synced: 14 Mar 2025

https://github.com/bullet-ant/classification-algorithms-comparision-app

A helper app to kick-start your machine learning model building. This app builds a lot of basic models and help you understand which models works better on your dataset, without any parameter tuning

classification-model machine-learning streamlit streamlit-sharing streamlit-webapp

Last synced: 08 Apr 2025

https://github.com/onome-joseph/heart-attack-prediction

This project estimates the likelihood of a heart attack for a patient based on their health parameters.

classification-model data-science flask-application healthcare machine-learning random-forest-classifier

Last synced: 06 Apr 2025

https://github.com/exsandebest/mts-teta-hackathon

(RU) Hosts classification - MTS.Teta hackathon project

classification-model hosts hosts-classification jupyter-notebook python streamlit

Last synced: 01 Mar 2025

https://github.com/michelmf/projeto_tb

Applying machine learning models to detect tuberculosis during screening process.

boosting-tree classification-model data-mining data-visualization machine-learning python tuberculosis

Last synced: 06 Jul 2025

https://github.com/sonu275981/breast-cancer-prediction

Breast Cancer Classification using Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbours (K-NN), Support Vector Machine (SVM), GaussianNB and Random Forest which is a supervised learning method to detect breast cancer are used.

breast-cancer-prediction breastcancer-classification cancer classification-model knearest-neighbor-classifier logistic-regression machine-learning medical python random-forest supervised-learning support-vector-machine

Last synced: 10 Apr 2025

https://github.com/onome-joseph/nba-match-prediction

The model predicts whether a team will win or lose based on player performance statistics from the 2024/25 NBA season.

classification-model data-insights data-science machine-learning random-forest xgboost-classifier

Last synced: 28 Oct 2025

https://github.com/gokulnpc/spam-mail-prediction

This web app is developed to predict whether a mail is spam or not. The model is built using the Logistic Regression algorithm.

classification-model logistic-regression machine-learning streamlit

Last synced: 27 Oct 2025

https://github.com/nafisalawalidris/logistic-regression-model-for-breast-cancer-recurrence-prediction

Predicting Breast Cancer Recurrence - A logistic regression model using patient attributes to classify recurrence risk. Dataset analysis and model evaluation. Contributions welcome.

breast-cancer classification-model data-analysis data-science healthcare logistic-regression machine-learning python recurrence-prediction scikit-learn

Last synced: 16 Mar 2025

https://github.com/gokulnpc/handwritten-digit-classification

This web app is a simple handwritten digit classification model built using a neural network with the MNIST dataset. The MNIST dataset is a collection of 70,000 small square 28x28 pixel grayscale images of handwritten single digits between 0 and 9. The model is built using TensorFlow and Keras, and the web app is built using Streamlit.

classification-model deep-learning neural-networks streamlit

Last synced: 28 Mar 2025

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

This web app is created to classify the Breast Cancer into Benign and Malignant. The model is built using the Logistic Regression algorithm.

classification-model logistic-regression machine-learning streamlit

Last synced: 30 Jul 2025

https://github.com/gokulnpc/wine-quality-prediction

This web app is created to predict the quality of red wine based on the input features. The model is trained using the Random Forest Classifier algorithm.

classification-model machine-learning random-forest-classifier stream

Last synced: 01 Jul 2025

https://github.com/queen-esther01/ai-landmark-prediction-server

A Nodejs server that enables you train, publish and predict a custom vision model that can recognize landmarks on Azure

ai azure azure-custom-vision classification-model nodejs prediction-model typescript

Last synced: 17 Mar 2025

https://github.com/yuvraj0412s/proactive-fraud-detection-using-machine-learning

An end-to-end machine learning project for detecting financial fraud using LightGBM, featuring in-depth EDA, advanced feature engineering, and a focus on actionable business insights.

class-imbalance classification-model data-analysis data-science data-visualization exploratory-data-analysis feature-engineering fintech fraud-detection jupyter-notebook lightgbm machine-learning pandas python scikit-learn smote

Last synced: 19 Aug 2025

https://github.com/gokulnpc/titanic-survival-prediction

This web app is a simple Titanic Survival Prediction web app. The web app uses a logistic regression model to predict whether the mail is spam or not.

classification-model logistic-regression machine-learning streamlit

Last synced: 28 Mar 2025

https://github.com/mrseanryan/csfy

Train a simple text classifier and predict labels - supports ONNX output for performance, language-neutral

classification-model classifier classifier-model ml ml-training

Last synced: 02 Aug 2025

https://github.com/stephen-adwini-badu/09.-loan-eligibility-project

This project aims to predict loan eligibility for potential customers based on various financial, demographic, and personal attributes. By employing machine learning models, the notebook explores how well different algorithms can classify loan applicants into eligible or non-eligible categories.

classification-model data-science jupyter-notebook machine-learning predictive-modeling

Last synced: 29 Dec 2025

https://github.com/ekaputra07/ina-sms-classifier

A project to create a ML classification model for Indonesian text/sms messages using Tensorflow.

classification-model machine-learning tensorflow2

Last synced: 11 Oct 2025

https://github.com/redayzarra/cnn_trafficsigns

This is a machine learning project where I utilized the LeNet-5 architecture to create a convolutional deep network that classifies 43 different kind of traffic signs. I've made sure to include a full step-by-step implementation of the project as well as detailed notes for every step.

classification classification-model computer-vision deep-learning deep-neural-networks lenet lenet-5 lenet-architecture machine-learning model-evaluation model-selection

Last synced: 21 Mar 2025

https://github.com/stephen-adwini-badu/06.-british-airways-project

This project focused on developing a classification model to differentiate between customers who book flights and those who cancel. Machine learning techniques were utilized to create an accurate prediction model. This enabled a better understanding of customer behavior and enhanced booking retention strategies

classification-model data-science jupyter-notebook machine-learning predictive-modeling random-forest-classifier

Last synced: 30 Oct 2025

https://github.com/aaditagarwal/classification_of_caffeine

A classification project to classify various caffeine products into coffee types using Fourier Transformed Infrared Spectroscopes of products.

caffeine-classification classification-model data-visualization ftir-data-analysis

Last synced: 06 Mar 2025

https://github.com/akinbicer/turkish-compliment-classification-with-nlp

This repository contains a Python script for training, evaluating, and deploying a Natural Language Processing (NLP) model for classifying compliments in Turkish language. The model is trained using the Multinomial Naive Bayes algorithm and is saved in ONNX and Joblib formats for deployment.

classification classification-algorithm classification-model compliment-generator deel-learning joblib machine-learning multinomial multinomial-naive-bayes natural-language-processing nlp nlp-deep-learning nlp-machine-learning onnx onnx-models onnx-tf python turkish-compliment-classification turkish-nlp

Last synced: 25 Aug 2025

https://github.com/ravin-d-27/machine_learning

Hey People! These codes are made by Ravin D! You can use these codes for doing some great predictions! It contains 15+ ML Models! Keep on following this repository for more Machine Learning toolkits and information! Good Day!

association-rule-learning classification-model clustering regression-models

Last synced: 10 Aug 2025

https://github.com/farooqueesamiya/social-network-ads-classification-models

In this repository, we will explore different classification models to predict whether a user will purchase a product based on age and estimated salary.

classification-model decision-tree-classifier knn-classifier linear-kernel logistic-regression naive-bayes-classifier random-forest-classifier rbf-kernel support-vector-machine svc-model

Last synced: 03 Jan 2026

https://github.com/salmandeveloperz/ml_house_prediction

project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.

classification-model clustering deep-learning machine-learning matplotlib numpy pandas python3 regression-models scikit-learn

Last synced: 30 Dec 2025

https://github.com/easonlai/diabetes_prediction_lr_xgb

This is a sample code repository to leverage classic "Pima Indians Diabetes" from UCI to perform diabetes classification by Logistic Regression & Gradient Boosting algorithms.

classification classification-algorithm classification-model diabetes diabetes-prediction gradient-boosting gradient-boosting-algorithm logistic-regression logistic-regression-algorithm python python3 sklearn xgboost

Last synced: 14 Sep 2025

https://github.com/datarohit/pima-indians-diabetes-classification

This is a very popular Kaggle Dataset for practicing Classification and EDA. A detailed Statistical Analysis with EDA and many Plots has been done.

classification-algorithims classification-model machine-learning-algorithms matplotlib-pyplot numpy pandas seaborn sklean

Last synced: 09 Apr 2025

https://github.com/ronnie-allen/music-genre-classification-with-cnn

A machine learning model for classifying music genres based on audio features. This repository contains the code and resources for building, training, and evaluating the model using popular libraries like TensorFlow and scikit-learn. It aims to predict the genre of music from raw audio data, providing a practical solution for music classification..

classification-model machine-learning ml-projects python streamlit tensorflow

Last synced: 04 Mar 2025

https://github.com/souleimaneelqodsi/drapeaux-serbie-croatie-sdd

Data classification project in 1st year of CS Bachelor @ Paris-Saclay university: model classifying Serbian and Croatian flags with image pre-processing. Projet de classification en 1ère année de licence informatique à l'université Paris-Saclay : modèle pour classer les drapeaux serbes et croates avec prétraitement d'images

classification-model data-science image-classification image-processing jupyter-notebook python3

Last synced: 24 Oct 2025

https://github.com/sandeepbalachandran/classifier

A collection of classification algorithms for different purposes

classification classification-model classifier machine-learning notebook

Last synced: 24 Oct 2025

https://github.com/kruthiktr/titanic-survival-prediction

Titanic Survival Prediction using Machine Learning predicts whether a passenger survived based on features like age, gender, and class. A Random Forest Classifier achieved 82.68% accuracy after data preprocessing. Explore this project to see how machine learning handles this classic problem.

classification classification-model data-visualization machine-learning predictive-modeling python titanic-dataset titanic-survival-prediction

Last synced: 10 Apr 2025

https://github.com/alessandromonolo/fraud-detection-binary-classification-model

This project builds a machine learning model to classify fraudulent clients using a banking dataset. Data preprocessing, statistical analysis, and feature selection were performed before training KNN and Random Forest Classifier. Model performance was evaluated using accuracy, precision, recall, and F1-score.

classification-model fraud-detection knn-classification machine-learning pandas python random-forest scikit-learn statistical-analysis

Last synced: 26 Oct 2025

https://github.com/arkaung/cardenity

Classify car manufacturers and models from images

classification-model deep-learning

Last synced: 24 Dec 2025

https://github.com/abdullah2020/hamoye_stagec

This is my Hamoye Stage C tag-along project. The notebook focuses on applying Machine Learning Classification models and Measuring Classification Performance.

accuracy-score classification-model confusion-matrix extratreesclassifier f1-score lgbmclassifier logistic-regression machine-learning random-forest-classifier recall-precision xgboost

Last synced: 26 Mar 2025