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The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
Official repository of ACmix (CVPR2022)
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
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
The final project for my graduate level Data Mining course
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.
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
Theano implementation of Cost-Sensitive Deep Neural Networks
Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
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。
《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
Code release for "Dropout Reduces Underfitting"
Course Project for EE378A
matlab code for implementing the FANS (Feature Augmentation via Nonparametrics and Selection) classification method for high-dimensional data
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.
Knowledge transfer LUPI
Library for Meta-Recognition and Weibull based calibration of SVM data.
Implementing a ChatGPT-like LLM from scratch, step by step
LOMO: LOw-Memory Optimization
Learning using Privileged Information for Chemosensitivity Prediction in Ovarian Cancer Patients
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
Learning using privileged information with neural ODE processes
SVM with Learning Using Privileged Information (LUPI) framework
Learning Using Privileged Information in R
Code Repository for Machine Learning with PyTorch and Scikit-Learn
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.