multi-class-classification

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

Using SigComp'11 dataset for signature verification

Extremely simple and fast extreme multi-class and multi-label classifiers.

Music genre classification from audio spectrograms using deep learning

Implementation of the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels"

This repository contains instructions and code to deploy a customer 360 profile solution on Azure stack using the Cortana Intelligence Suite.

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

Working with the Yelp Dataset in Azure SQL and SQL Server

A system that takes food images as an input, recognizes the food automatically and gives the nutritional-facts as an output.

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.

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

MATLAB Implementation of the SVM and Eigenface/Fishcerface Algorithms for Facial Recognition.

Package provides java implementation of algorithms in the field of adaptive resonance theory (ART)

Open source implementation of Logical Analysis of Data (LAD) Algorithm.

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

Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning

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

Multilayer Perceptron with TensorFlow on Iris dataset

Venue Prediction with bag of words + heterogenous information using sklearn SGDClassifier

Term 2 Project 2 RNN and LSTM for time-series prediction and text generation

Package provides javascript implementation of support vector machines

It has 12 Classes for twelve different types of crops. This Dataset is in a zip file containing twelve folders of each plant containing their pictures. It is a Image Classification Problem, which can be easily solved Deep Learning Models such CNN(Convolutional Neural Networks)

Code for the paper "Gaussian Process Classification as Metric Learning for Forensic Writer Identification", published at DAS 2018

Every year, road accidents cause thousands of deaths. That's why I decided to make this contribution. Risk varies widely from customer to customer, and a deep understanding of different risk factors helps predict the likelihood and cost of insurance claims. Many factors contribute to the frequency and severity of accidents including how, where and under what conditions people drive, as well as what they are driving. Insurance covers people’s bodily injury or death for which the insured is responsible. GOAL: This project predicts the severity of injury based on various characteristics, users, places and vehicles.

MATLAB code for multi-local Power means-based fuzzy k-nearest neighbor (MLPM-FKNN) algorithm

Wrapping single instance learning algorithms so that they can be fitted to data for multiple instance learning

L2-Regularized Autoencoder Enabled Ladder Networks (RAELN) for multi-class classification of network intrusion malware.