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benchmarking

Benchmarking of Matrix multiplications and Inversion in CARC Server

bionmf-gpu

NMF-mGPU web site:

carc_work

Documentation

ceodspspectrum.github.io

convlstm-pytorch

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

early-stopping-pytorch

Early stopping for PyTorch

notes

my dev notes

pycp_apr

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.

pydrescalk

Distributed Non Negative RESCAL decomposition with estimation of latent features

quickbytes

Development of short tutorials for UNM's Center for Advanced Research Computing

residualattentionnetwork-pytorch

a pytorch code about Residual Attention Network. This code is based on two projects from

search-algorithms

DFS,BFS, UCS and A* Search

t-elf

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.