Source code of "Beyond Trial and Error: Unraveling Neural Networks' Insights in Scientific Knowledge Discovery through Bivariate Optimization"
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├── chaosmining # Source files, define the major modules to build machine learning pipeline with pytorch
├── data # Data folder, including functional, vision, and audio data
├── data_engineer # Source files, create synthetic dataset and conduct preprocessing
├── examples # Source files, perform model training, evaluation, and localization
├── notebooks # Source files, notebooks to get preliminary results
├── exps # Bash scripts, linux commands to run bash experiments
├── LICENSE
└── README.md
foo@bar:~$ python3 -m pip install -r requirements.txt