ceodspspectrum

benchmarking

Benchmarking of Matrix multiplications and Inversion in CARC Server

bionmf-gpu

NMF-mGPU web site:

CARC_WORK

Documentation

ceodspspectrum.github.io

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.

AdversarialTensors

Tensors-based framework for adversarial robustness

pyDNA_EPBD

pyDNA-EPBD: A Python-based Implementation of the Extended Peyrard-Bishop-Dauxois Model for DNA Breathing Dynamics Simulation

pyDNMFk

Python Distributed Non Negative Matrix Factorization with custom clustering

pyDNTNK

Python Distributed Non Negative Tensor Networks

pyDRESCALk

Distributed Non Negative RESCAL decomposition with estimation of latent features

ceodspspectrum/benchmarking

Benchmarking of Matrix multiplications and Inversion in CARC Server

ceodspspectrum/bionmf-gpu

NMF-mGPU web site:

ceodspspectrum/CARC_WORK

Documentation

ceodspspectrum/ceodspspectrum.github.io

ceodspspectrum/ConvLSTM-PyTorch

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

ceodspspectrum/early-stopping-pytorch

Early stopping for PyTorch

ceodspspectrum/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.

ceodspspectrum/notes

my dev notes

ceodspspectrum/pyDRESCALk

Distributed Non Negative RESCAL decomposition with estimation of latent features

ceodspspectrum/QuickBytes

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

ceodspspectrum/ResidualAttentionNetwork-pytorch

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

ceodspspectrum/Search-Algorithms

DFS,BFS, UCS and A* Search