Vake AS
Detect perceptually identical audio segments/matches among audio items or streams.
Diffprivlib is a general-purpose library for experimenting with, investigating and developing applications in, differential privacy.
Our world is increasingly complex, in terms of both its material components (e.g., smart cities, infrastructure) and its social processes (e.g., social media outreach). Both individual humans and entire societies find it difficult to cope with world compl...
AdaFamily: A family of Adam-like adaptive gradient methods for training neural networks
Is “AI Science and Engineering” an un upcoming scientific discipline that can fuse AI, brain and mind studies and social engineering? As Artificial Intelligence (AI) studies and research flourish worldwide, it is worth debating whether we already observe ...
Novel framework for Playable Video Generation that is trained in a self-supervised manner on a large dataset of unlabelled videos. We employ an encoder-decoder architecture where the predicted action labels act as bottleneck. The network is constrained to...
A holistic learning framework for Novel Class Discovery (NCD), which adopts contrastive learning to learn discriminate features with both the labeled and unlabeled data. The Neighborhood Contrastive Learning (NCL) framework effectively leverages the local...
PyTorch implementation of Intrinsic-Extrinsic Preserved Generative Adversarial Network (IEP-GAN) for both intrinsic (i.e., shape) and extrinsic (i.e., pose) information preservation. Extrinsically, a co-occurrence discriminator is used to capture the stru...
A tool to allow Visual Transformers (VTs) to learn spatial relations within an image making the VT training much more robust when training data is scarce. The tool can be used jointly with the standard (supervised) training and it does not depend on speci...
As the backward algorithm of SVD is prone to have numerical instability, we implement a variety of end-to-end SVD methods by manipulating the backward algortihms in this repository. They include: - SVD-Pad'e: use Pad'e approximants to closely approximate...
A library of self-supervised methods for unsupervised visual representation learning powered by PyTorch Lightning. It aims at providing SotA self-supervised methods in a comparable environment while, at the same time, implementing training tricks. While t...