58 results for “topic:nonnegative-matrix-factorization”
Nimfa: Nonnegative matrix factorization in Python
R package for integrating and analyzing multiple single-cell datasets
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
A pytorch package for non-negative matrix factorization.
Proximal optimization in pure python
Randomized Dimension Reduction Library
Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets
X. Wang, Y. Zhong, L. Zhang, and Y. Xu, “Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp.6287-6304, 2017.
Solve many kinds of least-squares and matrix-recovery problems
Python Distributed Non Negative Matrix Factorization with custom clustering
Self-supervised semi-supervised nonnegative matrix factorization for data clustering
Official code for BEAR. "Efficient neural network approximation of robust PCA for automated analysis of calcium imaging data", MICCAI 2021.
NMF/NTF with Pytorch
A python program that applies a choice of nonnegative matrix factorization (NMF) algorithms to a dataset for clustering.
A review of the most popular topic modeling techniques, featuring hands-on tutorials.
Face Recognition with SVM classifier using PCA, ICA, NMF, LDA reduced face vectors
Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)
Convolutive Matrix Factorization in Julia
A Natural Language Processing Project: Use NewsAPI to gather URL's of news articles, along with webscraping, gather news articles and generate a bias classifier to then run on news sources that are considered "centered" by AllSides Media to determine the validity of that classification.
Elastic Adversarial Deep Nonnegative Matrix Factorization for Matrix Completion
Nonnegative matrix factorization and matrix allocation algorithm implementations in C++
A gentle introduction to nonnegative matrix factorization (NMF), with an application to image compression :framed_picture: :performing_arts: :art:
Non-Negative Matrix Factorization for Gene Expression Clustering
Texture synthesis based on sparse representation.
Python Implementation of the Instance-wise Distributionally Robust Nonnegative Matrix Factorization (iDRNMF)
Repository holding various implementation of specific NMF methods for speaker diarization
GPU-accelerated topic modeling via sum-to-one constrained neural Poisson NMF with PyTorch
Nonnegative matrix factorizations using CUDA
Source code for the paper titled "Towards Weak Signal Analysis in Hyperspectral Data: A Semi-supervised Unmixing Perspective"
Official Python implementation of "Contrastive Calibration on Consensus and Complementary Multi-view Representations"