There are 3 repositories under multi-class-classification topic.
A flexible, adaptive classification system for dynamic text classification
🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
A system that takes food images as an input, recognizes the food automatically and gives the nutritional-facts as an output.
基于pytorch_bert的中文多标签分类
Using SigComp'11 dataset for signature verification
Music genre classification from audio spectrograms using deep learning
multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification,seq2seq,attention,beam search
This repository contains instructions and code to deploy a customer 360 profile solution on Azure stack using the Cortana Intelligence Suite.
The code for the ACL 2023 paper "Linear Classifier: An Often-Forgotten Baseline for Text Classification".
Working with the Yelp Dataset in Azure SQL and SQL Server
Andrew Ng's Machine Learning Course
This application uses deep learning to analyze eye images and detect various diseases.
This project is from the Airbnb Recruitment Challenge on Kaggle. The challenge is to solve a multi-class classification problem of predicting new users first booking destination.
MATLAB Implementation of the SVM and Eigenface/Fishcerface Algorithms for Facial Recognition.
An open-source tool for performing feature selection process in different areas of research
Contains my project code for two CNN models, one trained for binary classification while the other made for multi-class classification. It utillises the CIFAR-10 dataset.
Building a Multi-Label Classifier doesn't seem a difficult task using Keras, but when you are dealing with a highly imbalanced dataset with more than 30 different labels and with multiple losses it can become quite tricky.
I3D implemetation in Keras + video preprocessing (rgb and optical flows) to detect violence in videos with weak labels (Weakly Supervised) on XD-Violence dataset (Multi-Label, Multi-class and untrimmed videos) using Keras
⭐️ Multi-Class Classification Logistic Regression with Gradient Descent in JavaScript
Multi-label classification using LLMs, with additional enhancements using quantization and LoRA (Low-Rank Adaptation). Get better performance on GPU.
A probability based approach to characterize lithology using drilling data and Random Forests
Supervised ML- Built a Multi-Class classification model to find the relation between features of a mobile phone(RAM, Internal Memory etc) and its selling price. Model will predict the price range indicating how high the price is.
Package provides java implementation of algorithms in the field of adaptive resonance theory (ART)
Package provides the direct java conversion of the origin libsvm C codes as well as a number of adapter to make it easier to program with libsvm on Java
Official repository of IEEE Research Paper "Chronic Obstructive Pulmonary Disease Severity Classification using lung sound"
A multi-label text classifier based on PLM-ICD paper
Testing membership inference attacks on Deep learning models (LSTM, CNN);
Performing multi-class classification on the CIFAR-10 dataset using transfer learning
Semantic Enrichment, Data Augmentation and Deep Learning for Boosting Invoice Text Classification Performance: A Novel Natural Language Processing Strategy
This a multiple disease prediction based on user input which can predict upto 40 disease and trained on 131 parameters
Demonstrate the application of machine learning on a real-world predictive maintenance dataset, using measurements from actual industrial equipment.