Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"
-
Updated
Jun 12, 2024 - Python
Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"
A curated list of state-of-the-art papers on deep learning for universal representations of time series.
Library for metric learning pipelines and models.
TC (MICCAI 2024) official code
Stochastic processes insights from VAE. Code for the paper: Learning minimal representations of stochastic processes with variational autoencoders.
LibCity: An Open Library for Urban Spatial-temporal Data Mining
The official repository for ACL 2024 paper "Representation Learning with Conditional Information Flow Maximization"
[ICML2024] Unified Training of Universal Time Series Forecasting Transformers
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Codebase for the paper 'EncodecMAE: Leveraging neural codecs for universal audio representation learning'
Source code for WWW 2024 paper "VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation."
[ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training"
Dongmin Hyun's website
Code for the ECML 2024 paper "Pointer-Guided Pre-Training: Infusing Large Language Models with Paragraph-Level Contextual Awareness"
Genomic interval machine learning
Representation Learning on Topological Domains
An optimized implementation of masked autoencoders (MAEs)
Reading list for research topics in multimodal machine learning
Low Dimensional Radiotherapy [PMB'23]
EVA Series: Visual Representation Fantasies from BAAI
Add a description, image, and links to the representation-learning topic page so that developers can more easily learn about it.
To associate your repository with the representation-learning topic, visit your repo's landing page and select "manage topics."