Real-time GCC-NMF Blind Speech Separation and Enhancement

Sparse Optimisation Research Code

Convolution dictionary learning for time-series

✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.

L1-regularized least squares with PyTorch

Single-cell multi-omics integration using Optimal Transport

Image inpainting via dictionary learning and sparse representation.

[ICML 2022] "Neural Implicit Dictionary via Mixture-of-Expert Training" by Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang

Dictionary Learning for image processing

Multivariate Dictionary Learning Algorithm

Official repository of the "Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning" (ACM MM 2023)

This repository contains dictionary learning algorithms

We introduce a way to extend sparse dictionary learning to deep architectures.

Python Implementation of Proximal Methods for Hierarchical Sparse Coding

Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.

Haemodynamic Response Function estimation from fMRI in Python

Binary Pattern Dictionary Learning for gene activation in microscopy images

PyTorch implementation, with CUDA support, of the sparse coding algorithm based on the paper by Olshausen and Field (1997).

MLDictionary is word's dictionary for several language. Available in pypi

Spectral Clustering on the Sparse Coefficients of Learned Dictionaries - Published in SIVP