Pinned Repositories
Anomaly-Detection
This project involves implementing an adversarial autoencoder for anomaly detection on a Kuka industrial robot dataset. The dataset consists of time-series data collected from the robot's various sensors. The problem to solve is understanding when, the robot is moving more slowly or less precisely than normal.
Computational-Intelligence-Course
Domain-Disentanglement-through-Natural-Language
In this project, we tackle Domain Adaptation through Domain Disentanglement. We start from the assumption that every domain is characterized by features domainspecific and features category-specific, the goal is to disentangle that information to then use only the latter ones to train the object classifier.
Multimodal-Egocentric-Action-Recognition
This project focuses on the topic of egocentric vision and the application of the multimodal learning paradigm in this context
Quarto
Quarto is a board game for two players played on a 4×4 board.
Wine-Quality-Detection
An educational machine learning project
OmidMahdavii's Repositories
OmidMahdavii/Anomaly-Detection
This project involves implementing an adversarial autoencoder for anomaly detection on a Kuka industrial robot dataset. The dataset consists of time-series data collected from the robot's various sensors. The problem to solve is understanding when, the robot is moving more slowly or less precisely than normal.
OmidMahdavii/Computational-Intelligence-Course
OmidMahdavii/Domain-Disentanglement-through-Natural-Language
In this project, we tackle Domain Adaptation through Domain Disentanglement. We start from the assumption that every domain is characterized by features domainspecific and features category-specific, the goal is to disentangle that information to then use only the latter ones to train the object classifier.
OmidMahdavii/Multimodal-Egocentric-Action-Recognition
This project focuses on the topic of egocentric vision and the application of the multimodal learning paradigm in this context
OmidMahdavii/Quarto
Quarto is a board game for two players played on a 4×4 board.
OmidMahdavii/Wine-Quality-Detection
An educational machine learning project