A Python scikit for building and analyzing recommender systems
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Updated
Jun 16, 2024 - Python
A Python scikit for building and analyzing recommender systems
A curated list of community detection research papers with implementations.
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
RSA primes numbers /RSA/CTFs
An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
Scripts that illustrate basic cryptography concepts based on Coursera Standford Cryptography I course and more.
An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.
A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
python package implementing a multivariate Horner scheme for efficiently evaluating multivariate polynomials
RPN command-line calculator
Official implementation of the paper "Sparse Feature Factorization for Recommender Systems with Knowledge Graphs"
Transfinite ordinal arithmetic and factorisation up to epsilon-zero
A python package for performing single NMF and joint NMF algorithms
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