A project for understanding latent spaces in different neural networks (joint work with interns 2018)
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Updated
May 24, 2019 - Python
A project for understanding latent spaces in different neural networks (joint work with interns 2018)
musical snobbery, with a touch of machine learning
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Rank-based, collaborative filtering and matrix factorisation techniques for Recommendation Engine for IBM Watson Studio platform
A C++ framework of Distributed Non-Negative Matrix Factorization implementation to find Latent Dimensionality in Big Data
Python Distributed Non Negative Matrix Factorization with custom clustering
CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent patterns.
Bayesian Factorization with Side Information in C++ with Python wrapper
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Nimfa: Nonnegative matrix factorization in Python
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