OpenMMLab Detection Toolbox and Benchmark

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

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

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

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

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"

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

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

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

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

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

A sparsified AutoEncoder to solve Semi-Supervised classification tasks

Exercises from IT3030 V20

Unofficial Pytorch Implementation of 'FixMatch- Simplifying Semi-Supervised Learning with Consistency and Confidence'

Experimenting with CNN architectures for image classification and methods to improve training with small datasets (semi-supervised learning).

Code Repository for BGCN-NRWS (IEEE ICMLA)

Advanced Scheduling Algorithm for Managing Pseudo Labels in Semi-Supervised Learning