multi-class-classification | Topic

Topic: "multi-class-classification"

pradeepdev-1995/BERT-models-finetuning

BERT (Bidirectional Encoder Representations from Transformers) is a transformer-based method of learning language representations. It is a bidirectional transformer pre-trained model developed using a combination of two tasks namely: masked language modeling objective and next sentence prediction on a large corpus.

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vamc-stash/Artificial-Neural-Networks

Implemented regression, binary classification, multi-class classification ANNs

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sumansid/Sign-Language-Recognition

A deep learning model that recognizes hand gestures for alphabets. Trained using tensorflow, with activation function : RELU and Softmax (for multi-class classification).

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nlucian/bayesian_neural_network_vs_nn

Binary and multiclass comparison of Bayesian Neural Network and Simple Neural Network

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yashprakash13/Weed-Detection-Kaggle

A keras multiclass classification on Kaggle Weed Detection Dataset

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saman-nia/MultiClass-Classification

Deep Learning VS. Machine learning

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ZeyuKeithFu/HandwrittenDigits-SVM

A kernel SVM practice on MNIST handwritten digits image dataset.

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cetinsamet/movie-genre-classification

Movie genre classification form movie subtitles

Language: Python - Size: 4.05 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

keyurr2/food-classifier-alexnet

Food item classifier with alexnet cnn architecture for online food ordering application.

Language: Python - Size: 32.2 MB - Last synced at: about 2 months ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1

NishantKr97/Machine-Learning---Coursera

machine-learning octave neural-networks linear-regression logistic-regression multi-class-classification support-vector-machines k-means-clustering principal-component-analysis anomaly-detection recommender-systems

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arshdeepyadavofficial/Brain-Tumor-Detection-And-Classification

Enhanced MRI Brain Tumor Detection using a Hybrid Deep Learning + Machine Learning model. Combines MobileNetV2 & SVM to classify tumors (Glioma, Meningioma, Pituitary, No Tumor) from contrast MRI. Achieves ~93% accuracy via transfer learning & augmentation.

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MuhammadHassan2020/Inflammation-cell-classification_ML

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Arpangpta/AlgoD-CodeStructure-Identifier

Identify algorithmic structures in source code using Abstract Syntax Trees (ASTs) and a CodeBERTa-based classifier. Combines syntactic analysis with transformer embeddings for structure classification from small datasets.

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a-anuj/battery-health-classifier

An AI-powered Streamlit app that predicts EV battery health (Good, Moderate, Needs Maintanence,Critical) using a custom neural network. Built with synthetic data reflecting real-world charging patterns and battery behavior.

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FaNa-AI/VIT

A PyTorch-based image classification project using HuggingFace’s ViT model. It fine-tunes google/vit-base-patch16-224-in21k on a custom Cats vs Dogs dataset with training, evaluation, and metric visualization. Great for learning ViT transfer learning.

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SuryaVamsi-P/Diabetic-Retinopathy-Detection-with-ResNet50

Built an end-to-end deep learning pipeline using ResNet-50 to classify retinal images into five stages of Diabetic Retinopathy. Applied transfer learning, image preprocessing, and AUC-based evaluation on the APTOS 2019 Kaggle dataset, achieving a 94% validation AUC—offering real-world potential in clinical diagnosis automation.

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mslawsky/DYT-Multi-Class-Classifier

This repository contains a multi-class classifier to recognize the four style types featured in Dressing Your Truth by Carol Tuttle

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mslawsky/american-sign-language-multi-class

This repository contains a multi-class image classifier to recognize American sign language using TensorFlow

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anya-kondamani/SpotifyClassification

Multi-class classification on real Spotify dataset.

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amirezzati/broken-plural

Producing the plural of Arabic singular words using RNN in Keras

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madhans476/Food-hazard-detection-SEMEVAL-2025

Solution for SemEval-2025 Task 9: The Food Hazard Detection Challenge. Utilized machine learning, fine-tuned LLMs (GPT-2, LLaMA, Flan-T5-XL), and ensemble learning to classify food hazards and detect specific products and hazards from unstructured text.

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sroman0/Web-Inf

Neural Network for Multi-Class Classification is a project developed during the "Web and Information Retrieval" course at Università degli Studi del Sannio. This repository provides an implementation of a neural network with a softmax output layer, designed for multi-class classification tasks.

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Evangelos-Karavas/Classification-of-Spherical-Friction-Failures-with-Application-of-Machine-Learning

Development of an automated detection system of its operational status engine by measuring the performance of the system using control signals fed into machine learning models

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Onome-Joseph/NLP_CNN_Classification

This project implements accurate tags or specifications to problems, or user complaints based on input text. The model is designed using neural networks to process data quickly and deliver high-performance results.

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SimReale/tweets_sexism_detector

NLP assignments about creating a sexism classifier with different approaches.

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SathvikNayak123/image-classification-with-MLOps

End-toEnd Data Science Project with Transfer Learning and MLOps

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abhin5821/Turkish-Music-Emotion-Classification

Multi-class classification of Turkish-Music into 4 discrete classes based on its emotions.

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lasyakonduru/CIFAR-10-Image-Classification-with-CNNs-Baseline-and-Enhanced-Models

This project focuses on multi-class image classification using CNNs with the CIFAR-10 dataset. It compares a baseline and an enhanced model to classify 10 categories, including trucks, for real-world applications like preventing deer-vehicle collisions. Includes architecture, training, and evaluation insights.

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bibek36/SignLanguage-Detection-MNIST-Dataset

In this project, we tackled a multi-class classification problem where the goal was to correctly classify images of hands depicting the 26 letters of the English alphabet using a Convolutional Neural Network (CNN). The dataset used for this task is the Sign Language MNIST dataset, which consists of 28x28 grayscale images representing each letter.

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Cipher-unhsiV/COPD-Severity-Assessment

Official Repository of IEEE Research Paper "Chronic Obstructive Pulmonary Disease Severity Classification using lung sound"

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Gyani-rocks/Food-Vision-Big

It is an end-to-end multi-class image classification model that is based on the concepts of deep learning and Food(image) recognition. For this project I am using EfficientNet B0 feature extraction model , which takes in data of mixed precision. This will be used to predict on the images from 'food101' which is imported from TensorFlow datasets.

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Mariam-Zaidi/Monkey-Pox_detection-Thesis

M-Pox detection using deep learning models and eXplainable AI

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krsahab/E-CommerceProductCategorization

Multi-Class Classification based on text data using Natural Language Processing and Deep Learning.

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ConradKleykamp/Prediction-of-Cirrhosis-Outcomes-with-XGB

Predicting the multi-class outcomes of cirrhosis patients using an XGB classifier

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razamehar/Synthetic-to-Real-Image-Classifier

The CGI2Real_Multi-Class_Image_Classifier categorizes humans, horses, or both using transfer learning from Inception CNN. Trained on synthetic images, it can also classify real ones.

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radismili/Diabetes-Indicators-Classification

Multi-class logistic regression, Decision Tree and Random Forest

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KenKaneki2207/Fashion-MNIST

Classification model for Fashion MNIST dataset

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kelixirr/Arxiv34k4l

Multi-label text classification project on Arxiv data using NLP

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muscak/Liver-Cirrhosis-Stage-Prediction

Prediction of the stage of liver cirrhosis of a patient

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leiyunin/Multi-class-Multi-label-classification-using-SVM

This project applies SVM classifiers and K-Means clustering to the Anuran Calls (MFCCs) dataset for multi-class, multi-label classification, evaluating techniques like binary relevance, SMOTE, and Classifier Chains to optimize label prediction accuracy.

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miguel617/Multi-Classification-predictor-on-Payments-Timeliness

Multi-Classification ML modelling on a payment's database to predict any of the 3 states of a payment in a company.

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PulmonomicsLab/mcdr-mtb-standalone

Multi-class classification of drug resistance in MTB clinical isolates

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RimTouny/KNeighborsClassifier

KNN Classifier for Car Evaluation Dataset: Explored impact of training sample sizes & optimal K value selection. Python implementation in a Machine Learning course project (uOttawa 2023).

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muharis3/Credit-Score-Prediction-Model---Multi-Class-Classification

The objective of this study is to classify customers based on their information about their demographics and financial information into these 3 categories and predict if the customer is going to have good or bad credit score.

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JustinaMichael/CNN_Sorghum_Weed_Classifier

'CNN_Sorghum_Weed_Classifier' is an artificial intelligence (AI) based software that can differentiate a sorghum sampling image from its associated weeds images.

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gkontogiannhs/Multilabel-Multiclass-NLP-classification

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AjNavneet/RealTime_CNN_MultiClass_Image_Classification_TensorFlow_Flask

Tensorflow based CNN model for multi-class image classification and deployment of the model using Flask for realtime predictions.

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AjNavneet/ALBERT_DistilBERT_DBpedia_Classification

ALBERT and DistilBERT classification models for the DBpedia ontology dataset.

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deepakpandita57/Intent_Detection

Predict intent from user queries

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nina-prog/richters-predictor-modeling-earthquake-damage

Multi-class classification pipeline to predict earthquake damage as part of the Data Science Lab 2023 at KIT (Karlsruher Institute of Technology, Phase I. We won the internal course competition with an MCC test score of 0.535.

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DhanaShravya/Wine-clustering-and-classification-using-ML

Wine Classification using Machine learning algorithms

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L98S/weather_image_classification

this project aims work on exploratory data analysis to understand the dataset, developing a multi-class classification model to identify weather conditions, and creating an API to make the model usable in real-world applications.

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nataliakoliou/ML-Ciphertext-Decryption-Algorithm

SVM-based decryption tool for ciphertexts, encrypted using randomly generated mixed-ciphertext alphabets

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muhammadravi251001/medical-text-classification

Code for a multi-label text classification model for medical inquiry documents using an ensemble learning approach: specifically Boosting.

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KianaLia/ml-algorithms

A set of ML algorithms implemented in MATLAB

Language: MATLAB - Size: 20.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

samyukthababu/dog-breed-classification

Multi-class classification of dog images using pre-trained VGG16 model

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samyukthababu/music-genre-classification

Multi-class classification of images and audio files using Deep Learning

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NamrataThakur/Personalised-Cancer-Classification

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Sambonic/vogue_insight

Experimental project that utilises a multi-class classification model to predict and categorise MNIST's fashion dataset

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jamnicki/yoga-pose-ensemble-clf

University course project: Machine learning -- Ensemble learning strategies comparison on classification quality for imbalanced data

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Amirnaderiy/CNN_ViT

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srv-sh/resume-categorization

In this Machine Learning project, we harness the power of advanced algorithms to effectively categorize resumes found within a specified directory. Through an intricate analysis of their content, the script automates the process of sorting these resumes, thereby enhancing and streamlining the hiring process. 🚀

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