Experimenting with CNN architectures for image classification and methods to improve training with small datasets (semi-supervised learning).
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Updated
Jul 27, 2018 - Python
Experimenting with CNN architectures for image classification and methods to improve training with small datasets (semi-supervised learning).
Face Recognition Algorithm using Unsupervised and Semi-supervised techniques
Advanced Scheduling Algorithm for Managing Pseudo Labels in Semi-Supervised Learning
This repository features detailed explanations of each topic along with a project on each topic of Machine learning.
This is one of my micro project that aims to prepare image dataset from a video input and annotates it automatically.
PyTorch implementation of Bayesian Graph Convolutional Networks using Neighborhood Random Walk Sampling to supplement my Honors Thesis.
Master's Thesis Project Demo
Exploring optimization methods like Gradient Descent and BCGD in semi-supervised learning for rice seeds classification
Dissertação de Mestrado apresentada ao Programa de Pós-Graduação em Informática - PPGI da Universidade Federal do Espírito Santo - UFES
Semisupervised classification methods (SSC) with Spark-ML, study and implementation
Auto Semi-supervised Outlier Detection for Malicious Authentication Events
Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.
Unofficial Pytorch Implementation of 'FixMatch- Simplifying Semi-Supervised Learning with Consistency and Confidence'
A sparsified AutoEncoder to solve Semi-Supervised classification tasks
Code implementation of our paper "Exploring Domain-specific Contrastive Learning with Consistency Regularization for Semi-supervised Medical Image Segmentation "
Exercises from IT3030 V20
Codebase accompanying the paper "Efficient Co-Regularised Least Squares Regression".
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