High-throughput image analysis for automatic cell counting.
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Updated
Jul 31, 2019 - Python
High-throughput image analysis for automatic cell counting.
A blockchain project for mobile phones to decentralize mining and distribute trust.
This repository contains wrapper scripts for running transition state and IRC (Intrinsic Reaction Coordinate) calculations using Sella and IRC ASE optimizers for the Sella package.
A series of scripts used for transferring and validating files with gluster, and for submitting condor jobs
openhpc
HTCondor configuration for GPU jobs
Materials property datasets using high-throughput DFT simulations
A .NET-based middleware for Grid and Cloud Computing
ChemHTPS is an automated high-throughput screening platform for generating materials and chemical data
Submit file and shell script to start Apache Spark in standalone mode on HTCondor
Python Interface for Quantum Espresso and EPW codes.
An interface between the Materials Project software suite and the Schrodinger Python API, designed to allow for high-throughput execution of Jaguar and AutoTS calculations for molecular thermodynamics and kinetics.
A collection of examples that show how to use various features in the Bifrost framework.
ProkEvo - an automated, reproducible, and scalable framework for high-throughput bacterial population genomics analyses.
A software for automating materials science computations
TwinGraph is a Python framework for distributed container orchestration using Kubernetes clusters, Docker Compose/Swarm or cloud resources on AWS (AWS Lambda, AWS Batch, Amazon EKS). Applications include high-throughput simulations, simulation-driven optimization, Digital Twins and machine learning.
High-Throughput Computing in Python, powered by HTCondor
An App counts the number of components in an image.
Build and submit workflows to HTCondor in Python
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