SegNext Implementation in PyTorch
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Updated
Oct 27, 2023 - Python
SegNext Implementation in PyTorch
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
A blind source separation package using non-negative matrix factorization and non-negative ICA
PyTorch implementations of the beta divergence loss.
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
😊 Extract News of main streams of China.信息源主题提取
The code for prototype selection and instance ranking using matrix decomposition and subspace learning
Convert multivariate time series into evolutionary games; fit replicator dynamics and test for ESS (ts2eg).
Bachelor Thesis: Classsification of Advertisements by means of Supervised Learning Methods
This is a machine learning project that aims to recommend songs to users based on their listening history and rating. Non-negative Matrix Factorization (NMF) is used for song recommendation.
Code for project HTML / Jquery / javascript / python. The url is below.
Multimedia and Web Databases Fall 2019 project
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