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selfsupervised

Deep Learning Self-Supervised source code related to Mundenk et al. CVPR 2018

sepsense

Code to explore optimal remote sensing design for visual recognition with deep learning.

serac

Serac is a high order nonlinear thermomechanical simulation code

serac_tests

This repository stores test data for the Serac project.

shroud

Shroud: generate Fortran and Python wrappers for C and C++ libraries

silo

Mesh and Field I/O Library and Scientific Database

simplexdesign

Fast space filling designs for simplexes

simpool

Simpool is a set of simple pooled memory allocators

simul

MPI coordinated test of parallel filesystem system calls and library functions

simutil

Simulation Utility Library for HPC codes

sina

Store and query simulation (meta)data to/from various backends using friendly Python

skywing

A platform for building collaborative autonomy-focused applications.

slapi

This is a tool that talks to the Spectra Logic tape libraries using their XML API.

smallmoleval

Using machine learning to score potential drug candidates may offer an advantage over traditional imprecise scoring functions because the parameters and model structure can be learned from the data. However, models may lack interpretability, are often overfit to the data, and are not generalizable to drug targets and chemotypes not in the training data. Benchmark datasets are prone to artificial enrichment and analogue bias due to the overrepresentation of certain scaffolds in experimentally determined active sets. Datasets can be evaluated using spatial statistics to quantify the dataset topology and better understand potential biases. Dataset clumping comprises a combination of self-similarity of actives and separation from decoys in chemical space and is associated with overoptimistic virtual screening results. This code explores methods of quantifying potential biases and examines some common benchmark datasets.

smoothg

Mixed graph Laplacian upscaling and solvers

snls

Small Non-Linear Solver

sonar-driver

Utility for LLNL's Sonar infrastructure

sora

SoRa uses genetic programming to find mathematical representations from experimental data

spark-hdf5

A plugin to enable Apache Spark to read HDF5 files

spawnnet

Communication library for bootstrapping MPI

spdlayers

Symmetric Positive Definite (SPD) layers for PyTorch

spheral

spheral-docker

spify

spl

A shim layer which adds the core interfaces required for OpenZFS.

spot2_container

The container infrastructure for the SPOT performance visualization tool

spotbe

The web backend for the SPOT performance visualization tool

spotfe

The web frontend for the SPOT performance visualization tool

sshspawner

stat

STAT - the Stack Trace Analysis Tool