This is the official code release for OPERA: OPEn Respiratory Acoustic foundation models

One has no future if one couldn't teach themself.

SUpDEq - Spatial Upsampling by Directional Equalization

Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

Magnitude modeling of personalized HRTF

Awesome Dataset Distillation/Condensation Papers

A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

A collection of AWESOME things about mixture-of-experts

Official implementation of our paper "mulEEG: A Multi-View Representation Learning on EEG Signals"

This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition

library of algorithms to speed up neural network training

Federated Learning Utilities and Tools for Experimentation

Models and examples built with TensorFlow

A curated reading list of research in Mixture-of-Experts(MoE).

An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"

[2022] A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

Deep Learning models applied to the analysis of VIS-NIR spectral data

A Sharpened Cosine Similarity layer for PyTorch

The official code repo of "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection"

deep learning for image processing including classification and object-detection etc.

A collection of resources on applications of Transformers in Medical Imaging.

A paper list of some recent Transformer-based CV works.