XAI - An eXplainability toolbox for machine learning

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond

PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visual classification. Client distributions are synthesized with arbitrary non-identicalness and imbalance (Dirichlet priors). Client systems can be arbitrarily heterogeneous. Several mobile-friendly models are prov…

This repo contains implementation of advanced ML techniques. Includes model ensembles, cost-sensitive learning and dealing with class imbalance.

Data and code for replicating the AEPP paper "Machine learning for food security: Principles for transparency and usability"

This work focuses on the development of machine learning models, in particular neural networks and SVM, where they can detect toxicity in comments. The topics we will be dealing with: a) Cost-sensitive learning, b) Class imbalance

MSc Artificial Intelligence Thesis at the UvA in collaboration with the City of Amsterdam. The project concerns the improvement of semantic segmentation quality of underrepresented objects in imbalanced urban point clouds.