OpenMMLab Detection Toolbox and Benchmark
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Updated
Jun 21, 2024 - Python
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).
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
Code for reproducing results in GraphMix paper
Inner product natural graph factorization machine used in 'GEMSEC: Graph Embedding with Self Clustering' .
Source codes for the paper "Local Additivity Based Data Augmentation for Semi-supervised NER"
Code for L2ID CVPRW 2021 paper Improving Semi-Supervised Domain Adaptation Using Effective Target Selection and Semantics
A sparsified AutoEncoder to solve Semi-Supervised classification tasks
Codebase accompanying the paper "Efficient Co-Regularised Least Squares Regression".
Experimenting with CNN architectures for image classification and methods to improve training with small datasets (semi-supervised learning).
Advanced Scheduling Algorithm for Managing Pseudo Labels in Semi-Supervised Learning
Deep Semisupervised Cross-modal Retrieval/Cross-view Recognition (IEEE TCYB 2022, PyTorch Code)
Exercises from IT3030 V20
PyTorch implementation of Bayesian Graph Convolutional Networks using Neighborhood Random Walk Sampling to supplement my Honors Thesis.
Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.
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