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README.md

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@@ -6,11 +6,12 @@ In this work, we propose a novel variational approach to transition path samplin
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## Setup
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You can use the `environment.yml` file to setup this project. However, it only works on CPU.
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```bash
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conda env create -f environment.yml
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```
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We also provide a requirements.txt, however, it is not guaranteed to work.
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## Getting started
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The best way to get started is to look at [the jupyter notebook](notebooks/tps_gaussian.ipynb) which contains the necessary code for 2D potentials in one place.
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python eval/evaluate_mueller.py
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```
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and
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for a toy-potential and
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```bash
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python tps_baseline.py --mechanism two-way-shooting --num_paths 1000 --states phi-psi
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python eval/evaluate_tps.py
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```
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respectively. In both cases, you might need to change the paths that you want to evaluate.
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for ALDP respectively. In both cases, you might need to change the paths that you want to evaluate.
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## Run our method
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To sample trajectories with our method, we provide ready to go config files in `configs/`. You can run them with

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