The SWAN-SF dataset is now fully preprocessed, optimized, and ready for binary classification tasks. Our team is excited to release the enhanced version of the SWAN-SF dataset across all five partitions.

AdvSV stands as the first dataset developed specifically for evaluating Speaker Verification (SV) systems against adversarial attacks. It aims to benchmark the robustness of ASV models in the face of such attacks and offers vital resources for researchers to explore the characteristics of adversarial and replay attacks in this domain.

Code repository for PhD dissertation "Statistical Extensions of Multi-Task Learning with Semiparametric Methods and Task Diagnostics"

The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations

Documentation associated with preparing and formatting datasets LARRY datasets for ML applications with pytorch / pytorch lightning

Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms

[CVPR-2024] The First High Definition (HD) Event based Visual Object Tracking Benchmark Dataset

Code for LEMMA-RCA website

A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation (INTERSPEECH 2022)

A large-scale benchmark dataset for color-event based visual tracking

Automation scripts and benchmark dataset package for cancer drug prediction deep learning models.

This repository contains a gym environment that can be used for developing solvers for robotic 3D bin packing problems.