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GPU: To run high-dimensional (D\u003e100) problems with `GIT-BO`, please ensure you have access to a GPU with at least 20 GB of GPU memory. Otherwise, it is possible that you will run into the CUDA OUT_OF_MEMORY error, and we cannot ensure the algorithm's success.\n2. System: GIT-BO is set to be run on x86_64 architecture, Linux Ubuntu 22.04\n\n\n## Installations\n1. To run the main `GIT-BO` algorithm with `TURBO` and `SAASBO` baseline algorithms, make a conda/mamba environment and install the requirements:\n```\npip install -r GITBO_requirements.txt\n```\n\n## Download open-source model and executables for GIT-BO\n1. **GIT-BO Essential**: GIT-BO requires download the tabular foundation model TabPFNv2.\nAs we change some of the tabpfn code for `GIT-BO`, please use the provided tabpfn code here from this repo instead of directly downloading the tabpfn official repo. Additionally, `GIT-BO` uses the [`TabPFN-v2-reg model`](https://huggingface.co/Prior-Labs/TabPFN-v2-reg/tree/main) (the `tabpfn-v2-regressor.ckpt`) as its model. Please download this checkpoint and put it under `tabpfn/model/` if it is not already there. \n\nWith all the executables and data properly installed, the final directory structure should look like this:\n```\nGITBO/\n├─ tabpfn/\n│   ├─ model/\n│   │   ├─ tabpfn-v2-regressor.ckpt\n│   │   └─ ......\n│   └─ ......\n└─ ......\n```\n# Running experiment\n\n## GIT-BO\n\n### Main algorithm\nThe Python script for running `GIT-BO` is `run_GITBO.py`. The algorithm can be run as follows:\n```\npython run_GITBO.py --ITER 10 --FUNC_NAME Ackley --DIM 100\n```\n- The `ITER` flag determines the total number of iterations the algorithm runs. For the full experiment, we set it at 200 (but this will require more GPU memory).\n- The `DIM` flag determines the problem dimension.\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeepbiolab%2Fgitbo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdeepbiolab%2Fgitbo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeepbiolab%2Fgitbo/lists"}