Installation¶
Prequisites¶
Python>=3.12
uv (optional but recommended)
uv pip install "chempleter[cpu]"
python -m pip install "chempleter[cpu]"
Clone the repo:
git clone https://github.com/davistdaniel/chempleter.git
Inside the project directory:
uv sync --dev --extra cpu --extra validation
uv pip install "chempleter[gpu128]"
python -m pip install "chempleter[gpu128]"
Clone the repo:
git clone https://github.com/davistdaniel/chempleter.git
Inside the project directory:
uv sync --dev --extra gpu128 --extra validation
Note
Alternatively, you can try using Chempleter with a PyTorch version compatible with your CUDA version by following the Pytorch documentation.
Note
To use the validation module of chempleter, you must install matplotlib and tqdm. In this case, you must install chempleter with:
uv pip install "chempleter[cpu,validation]"
or for GPU, CUDA 12.8:
uv pip install "chempleter[gpu128,validation]"
Starting Chempleter’s GUI¶
uv run chempleter-gui
python -m chempleter.gui
Importing chempleter as a library¶
import chempleter
Using chempleter¶
See using chempleter.