Toolbox for anomaly detection.
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Updated
Oct 4, 2023 - Jupyter Notebook
Toolbox for anomaly detection.
"MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization" by Yue Duan (TNNLS)
Awesome Semi-supervised Multi-view Classification is a collection of SOTA, novel semi-supervised multi-view classification methods (papers, codes).
IJCAI 2024, InfoMatch: Entropy neural estimation for semi-supervised image classification
ModSSC: A Modular Framework for Semi Supervised Classification
[ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
Semi supervised learning framework of Python.
This project is an educational, pure JavaScript library designed to help developers and students understand the inner workings of ML algorithms without the magic of external libraries.
"Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning" by Yue Duan (AAAI 2024)
"RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning" by Yue Duan (ECCV 2022)
The source code for the paper: Vasilii Feofanov, Emilie Devijver and Massih-Reza Amini - Transductive Bounds for the Multi-class Majority Vote Classifier
Learning Conjoint Attentions for Graph Neural Nets, NeurIPS 2021
Various Machine learning algorithms
Code and Dataset for the Paper 'Screening the Stones of Venice: mapping social perceptions of cultural significance through graph-based semi-supervised classification'
Implementing SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS by Thomas N. Kipf and Max Welling
Study of gradient descent and block coordinate gradient descent to approach a semi-supervised classification problem.
Re-implementation of the SSC-UC method proposed by Schrunner et al. (2020)
Semi-supervised learning which apply a data science pipeline toward a multilayer perceptron binary classifier of loan status from Kaggle.
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