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**Note: Do not attempt to use this directly unless you | ||
know what you are doing. The happy path is to let `roadie` interact with this | ||
template for you.** | ||
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This is a template repository. It will be used by `roadie` to instantiate | ||
instances. We will make an initial commit on those repos with this boilerplate, | ||
so there is traceability as to the version of this template the repo was created | ||
with. This could be useful in figuring out later upgrades necessary to keep | ||
a repo up-to-date with compliance standards. | ||
# gflownet | ||
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GFlowNet related training and environment code | ||
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## Installation | ||
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### PIP | ||
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This package is installable via [Nexus](nexus.rxrx.io). You should configure your PIP using the instructions listed at | ||
[roadie: PIP Configuration](https://github.com/recursionpharma/roadie#pip-configuration). Then, execute the following: | ||
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```bash | ||
pip install gflownet | ||
``` | ||
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### Conda | ||
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You will need [anaconda cloud setup](https://github.com/recursionpharma/drug-discovery/wiki/Anaconda-Setup#setup-anaconda-cloud-locally) | ||
in order to access the Recursion conda packages. Once that is setup you can install this library like so: | ||
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``` | ||
conda config --add channels conda-forge | ||
conda config --add channels defaults | ||
conda config --add channels recursion | ||
conda install gflownet | ||
``` | ||
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## Developing | ||
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Please refer to [Developing Python at Recursion](https://github.com/recursionpharma/roadie/blob/trunk/Developing.md) | ||
for all tasks related to development of this codebase. |
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