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Integration:  git github
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README.md

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Repository for "Searching Github Python repositories with machine learning" masters thesis

Jakub Bartczuk

Running this project

Prerequisites

Preprocessing steps were tested on a machine with 64GB RAM.

For training Graph Neural Networks CUDA GPU is required.

General remarks

The project uses nbdev to create Python files from Jupyter notebook. To "make" project run

nbdev_build_lib; pip install -e .

in the root directory.

We use ploomber for managing training and data preprocessing.

For example to create csv files with extracted READMEs run

ploomber build --partial make_readmes --skip-upstream --force

Relevant definitions can be found in pipeline.yaml and env.yaml

TODO Downloading data

TODO Model checkpoints

Training models

Ploomber step:

run_gnn_experiment

TODO Using models

Tip!

Press p or to see the previous file or, n or to see the next file

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