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This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
bpr
knn
bprmf
bprslim
funksvd
deep-learning
neural-network
slimelasticnet
hyperparameters
reproducibility
matrix-completion
recommender-system
evaluation-framework
matrix-factorization
recommendation-system
reproducible-research
collaborative-filtering
hybrid-recommender-system
recommendation-algorithms
content-based-recommendation
Created
2019-04-02
63 commits to master branch, last one 3 years ago
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
Created
2014-11-07
88 commits to master branch, last one about a year ago
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Created
2017-05-10
346 commits to master branch, last one 7 months ago
Matrix and Tensor Completion for Background Model Initialization
Created
2016-10-21
15 commits to master branch, last one 3 years ago
Lightweight Python library for in-memory matrix completion.
Created
2017-05-06
26 commits to master branch, last one 4 years ago
Imputation method for scRNA-seq based on low-rank approximation
Created
2018-08-22
33 commits to master branch, last one about a year ago
Factor-Based Imputation for Missing Data
Created
2019-10-29
70 commits to master branch, last one 7 days ago
[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Created
2019-04-22
30 commits to master branch, last one 4 years ago