🛠️ 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

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.

A flexible, adaptive classification system for dynamic text classification

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.

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

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

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.

Condensed-Gradient Boosting

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

Multi-Class Classification to analyze architectural drawings

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.