michaeltan2016 Goto Github PK

aaai-2019-afs

The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".

acmix

Official repository of ACmix (CVPR2022)

adaboost_cnn

adaboostcnn

Taherkhani, A, Cosma, G, McGinnity, M (2020) AdaBoost-CNN: an adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning, Neurocomputing, 404, pp.351-366, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2020.03.064.

adaboostcnn_torch

adaboostCNN

adrepository-anomaly-detection-datasets

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

awid-intrusion-detection

The final project for my graduate level Data Mining course

ccnn

Code repository of the paper "Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN" https://arxiv.org/abs/2301.10540.

cnn-svm

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

csdnn

Theano implementation of Cost-Sensitive Deep Neural Networks

datasets

Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets

deep-forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dl-with-python-and-pytorch

《Python深度学习基于PyTorch》 Deep Learning with Python and PyTorch 作者：吴茂贵 郁明敏 杨本法 李涛 张粤磊 等

dropout

Code release for "Dropout Reduces Underfitting"

ee378-lupi-svm-

Course Project for EE378A

fans

matlab code for implementing the FANS (Feature Augmentation via Nonparametrics and Selection) classification method for high-dimensional data

feiguyunai

kdd2019_k-multiple-means

Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

kt_lupi

Knowledge transfer LUPI

libmr

Library for Meta-Recognition and Weibull based calibration of SVM data.

llms-from-scratch

Implementing a ChatGPT-like LLM from scratch, step by step

lomo

LOMO: LOw-Memory Optimization

lupi

lupi-for-chemosensitivity-prediction-in-ovarian-cancer-patients-

Learning using Privileged Information for Chemosensitivity Prediction in Ovarian Cancer Patients

lupi-for-classification-and-regression-pytorch

The repository contain Code of all the Experiments Conducted in the Paper "A generalized meta-loss function for distillation and learning using privileged information for classification and regression" by Amina Asif, Muhammad Dawood and Fayyaz ul Amir Afsar Minhas

lupi-ndp

Learning using privileged information with neural ODE processes

lupi-svm

SVM with Learning Using Privileged Information (LUPI) framework

lupi2

Learning Using Privileged Information in R

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn