🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

A flexible, adaptive classification system for dynamic text classification

SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.

基于pytorch_bert的中文多标签分类

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".

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

Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning

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.

Testing membership inference attacks on Deep learning models (LSTM, CNN);

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

Multi-Class Classification to analyze architectural drawings

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.

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

Unsupervised Contextualized Document Representation, to appear in SustaiNLP 2021 EMNLP 2021

Condensed-Gradient Boosting

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

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.