OpenMMLab Detection Toolbox and Benchmark

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

Code for reproducing results in GraphMix paper

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

Source codes for the paper "Local Additivity Based Data Augmentation for Semi-supervised NER"

It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.

Inner product natural graph factorization machine used in 'GEMSEC: Graph Embedding with Self Clustering' .

TFG - Semisupervised learning and instance selection methods

Code for L2ID CVPRW 2021 paper Improving Semi-Supervised Domain Adaptation Using Effective Target Selection and Semantics

The sslearn library is a Python package for machine learning over Semi-supervised datasets. It is an extension of scikit-learn.

Deep Semisupervised Cross-modal Retrieval/Cross-view Recognition (IEEE TCYB 2022, PyTorch Code)

Implementation of semi and self supervised learning on Imbalanced Dataset

Codebase accompanying the paper "Efficient Co-Regularised Least Squares Regression".

A sparsified AutoEncoder to solve Semi-Supervised classification tasks