Real-time GCC-NMF Blind Speech Separation and Enhancement
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Updated
Apr 8, 2019 - Python
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
Image inpainting via dictionary learning and sparse representation.
Single-cell multi-omics integration using Optimal Transport
Dictionary Learning for image processing
[ICML 2022] "Neural Implicit Dictionary via Mixture-of-Expert Training" by Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang
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.
Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.
Python Implementation of Proximal Methods for Hierarchical Sparse Coding
Binary Pattern Dictionary Learning for gene activation in microscopy images
Spectral Clustering on the Sparse Coefficients of Learned Dictionaries - Published in SIVP
MLDictionary is word's dictionary for several language. Available in pypi
PyTorch implementation, with CUDA support, of the sparse coding algorithm based on the paper by Olshausen and Field (1997).
Master's thesis about sparse approximation and dictionary learning using Cloud K-SVD for image denoising. Results show that the algorithm is able to learn sparse representations of signal vectors from distributed data samples in a heterogeneous network setup.
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