Shared-private Variational Inference with Product of Experts and Supervision
Please refer to the documentation. In particular, the
You need to have Python 3.9 or newer installed on your system.
We strongly recommend using spVIPES with GPU acceleration. In Linux, check your NVIDIA drivers running:
nvidia-smi
You can then install a compatible PyTorch version from https://pytorch.org/get-started/previous-versions/. For example if your CUDA drivers are version 11.3, you should install PyTorch v1.12.1 with the following command:
pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113
Make sure your torch installation can see your CUDA device to take full advantage of GPU acceleration by running:
import torch
torch.cuda.is_available()
This should return True
if everything is installed correctly.
To install spVIPES:
- Install the latest release of
spVIPES
fromPyPI <https://pypi.org/project/spVIPES/>
_:
pip install spVIPES
- Install the latest development version:
pip install git+https://github.com/nrclaudio/spVIPES.git@main
To get started, please refer to the basic spVIPES tutorial.
If you found a bug, please use the issue tracker.
t.b.a