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bootstrappedsvd

Error Estimation for Sketched SVD via the Bootstrap

data

Data sets

dmdpack

Dynamic Mode Decomposition

jumprelu

Jump ReLU

koopmanae

Consistent Koopman Autoencoders

lipschitzrnn

Lipschitz Recurrent Neural Networks

lowrankmatrixdecompositioncodes

RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using randomized sampling. Includes codes for single core (using GNU GSL), multi-core (using Intel MKL) and GPU (using NVIDIA CUDA/CULA) architectures.

nfm

nmf

Some nmf implementations in Python (reserach code)

noisymix

noisyrnn

Noisy Recurrent Neural Networks

odsc_tutorial

RISECamp Tutorials

optht

Optimal Hard Threshold for Matrix Denoising

ristretto

Randomized Dimension Reduction Library

robustbench

RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]

rsvd

Randomized Matrix Decompositions using R

rtensor

Randomized Tensor Decompositions

scikit-cuda

Python interface to GPU-powered libraries

sciml

shallowdecoder

Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data

spca

Sparse Principal Component Analysis (SPCA) using Variable Projection

statefulodenets

Stateful ODE-Nets

stats89a

superbench

tensortools

Fitting and visualizing tensor decompositions in Python