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- USC Center for Advanced Research Computing | Using Conda
This module is based on the minimal Miniforge installer which includes the package and environment manager Conda that installs and updates packages and their dependencies
- GitHub - uschpc Conda-on-CARC
The material in this repo contains information on how to set up your conda and pytorch environment Follow the same process and create separate environments for conflicting packages, for instance tensorflow
- Building a Customized Conda Environment - University of Southern California
Anaconda is a package and environment manager primarily used for open-source data science packages for the Python and R programming languages The Conda module is available on CARC, users do not need to install it themselves
- GitHub - uschpc Conda-Setup
This script (carc_conda_setup py) is an interactive utility to help users set up a Conda environment on the USC Center for Advanced Research Computing (CARC) systems
- USC Center for Advanced Research Computing | User Guides
Learn how to build a conda environment, use CARC OnDemand for data science, and about popular data science packages Overviews of useful applications for computational biology, chemistry, engineering, mathematics, and more General information on cloud computing and whether it is appropriate for your work
- Conda-on-CARC README. md at main - GitHub
Contribute to uschpc Conda-on-CARC development by creating an account on GitHub
- USC Center for Advanced Research Computing | Structural Bioinformatics
To support USC researchers wishing to utilize CARC resources in structural biology and bioinformatics, we created a conda environment that contains popular tools used in the field
- GitHub - uschpc Building-NeuralNetworks
We will use Conda to build software packages If it is the first time you are using Conda, make sure you follow the guide of how to use Conda with this link: https: www carc usc edu user-guides data-science building-conda-environment
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