vreshniak Goto Github PK

adaptivehistograms

chemicalkinetics

database_project

CSCI_5560

divergence_regularizer

education

feature-driven-exemplar-inpainting

A Nonlocal Feature-Driven Exemplar-Based Approach For Image Inpainting

firets

A python multi-variate time series prediction library working with sklearn

gitlab-ci

test gitlab ci

hed

code for Holistically-Nested Edge Detection

implicitresnet

Robust learning with implicit residual networks

jacobian_regularizer

A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.

libpressio

A library to abstract between different lossless and lossy compressors

misc

misc testers

mlmc

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partialconv

A New Padding Scheme: Partial Convolution based Padding

path_regularizer

pde_random_apertures

Method of Green's potentials for elliptic PDEs in domains with random apertures

plotneuralnet

Latex code for making neural networks diagrams

pypatchmatch

A simple C++ implementation of the PatchMatch Algorithm [Barnes, 2009] with its Cython and Matlab wrappers

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

samplemod

Sample module for Python-Guide.org.

spack-xsdk-copy

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

split-step-milstein

Split step Misltein schemes for multidimensional multiplicative SDEs

splitstepsde

Splitting methods for stochastic ordinary differential equations (SODEs)

tasmanian

The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN

vreshniak.github.io

xsdk-ci-test

CI tester infrastructure