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A template for starting reproducible Python machine-learning projects with hardware acceleration. Find an example at https://github.com/CLAIRE-Labo/no-representation-no-trust

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installing the project with `pip install -e .` goes through a build phase and needs to download and install build dependencies. Sometimes this is not needed if the project is...

RCP will disable root on running containers but the template runs an SSH server with root for some IDEs (PyCharm necessarily, VSCode optionally) to connect to the container. Make the...

Can a user only copy the installation directory, put it in their existing project, and benefit from the features of the template?

This template offers excellent structure, but lacks a ready-to-use example that demonstrates a full research pipeline (data loading, feature generation, model training, tracking with W&B, packaging, inference). I’d be happy...