There are 3 repositories under multi-class-classification topic.
🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
基于pytorch_bert的中文多标签分类
A system that takes food images as an input, recognizes the food automatically and gives the nutritional-facts as an output.
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.
Working with the Yelp Dataset in Azure SQL and SQL Server
The code for the ACL 2023 paper "Linear Classifier: An Often-Forgotten Baseline for Text Classification".
Andrew Ng's Machine Learning Course
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.
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.
⭐️ Multi-Class Classification Logistic Regression with Gradient Descent in JavaScript
An open-source tool for performing feature selection process in different areas of research
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
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
Performing multi-class classification on the CIFAR-10 dataset using transfer learning
Testing membership inference attacks on Deep learning models (LSTM, CNN);
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.
Build a Convolutional Neural Network (CNN) that recognizes traffic signs.
MATLAB code for multi-local Power means-based fuzzy k-nearest neighbor (MLPM-FKNN) algorithm
L2-Regularized Autoencoder Enabled Ladder Networks (RAELN) for multi-class classification of network intrusion malware.
This a multiple disease prediction based on user input which can predict upto 40 disease and trained on 131 parameters
Machine Learning exercises in Python (Jupyter notebooks)
A notebook about commonly used machine learning algorithms.
Création d'un réseau de Deep Learning capable de détecter une unique instance d'un objet (pouvant appartenir à différentes classes) dans une image et de l'encadrer avec un rectangle.
Unsupervised Contextualized Document Representation, to appear in SustaiNLP 2021 EMNLP 2021