A software project to provide the target tracking community with a framework for the development and testing of tracking algorithms.

MoSQITo is a unified and modular development framework of key sound quality metrics favoring reproducible science and efficient shared scripting among engineers, teachers and researchers community.

SQAT is an open-source repository of MATLAB codes containing the implementation of key metrics for quantitative sound quality analysis.

MoSQITo is a unified and modular development framework of key sound quality metrics favoring reproducible science and efficient shared scripting among engineers, teachers and researchers community.

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Efficient Training of Audio Transformers with Patchout

CIFAR10, CIFAR100 results with VGG16,Resnet50,WideResnet using pytorch-lightning

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.