The python-flake8 dependency is in the main repository as flake8.
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Package Details: python-gpytorch 1.11-1
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| Git Clone URL: | https://aur.archlinux.org/python-gpytorch.git (read-only, click to copy) |
|---|---|
| Package Base: | python-gpytorch |
| Description: | A highly efficient and modular implementation of GPs, with GPU acceleration. Implemented in PyTorch. |
| Upstream URL: | https://gpytorch.ai |
| Keywords: | gaussian gaussian-process |
| Licenses: | MIT |
| Submitter: | acxz |
| Maintainer: | acxz (keawang) |
| Last Packager: | acxz |
| Votes: | 0 |
| Popularity: | 0.000000 |
| First Submitted: | 2019-10-12 04:22 (UTC) |
| Last Updated: | 2023-06-11 21:42 (UTC) |
Dependencies (19)
- python (python32AUR, python37AUR, python310AUR)
- python-linear-operatorAUR
- python-pytorch (python-pytorch-mkl-gitAUR, python-pytorch-cuda-gitAUR, python-pytorch-mkl-cuda-gitAUR, python-pytorch-cxx11abiAUR, python-pytorch-cxx11abi-optAUR, python-pytorch-cxx11abi-cudaAUR, python-pytorch-cxx11abi-opt-cudaAUR, python-pytorch-cxx11abi-rocmAUR, python-pytorch-cxx11abi-opt-rocmAUR, python-pytorch-cuda, python-pytorch-opt, python-pytorch-opt-cuda, python-pytorch-opt-rocm, python-pytorch-rocm)
- python-scikit-learn (python-scikit-learn-gitAUR)
- git (git-gitAUR) (make)
- python (python32AUR, python37AUR, python310AUR) (make)
- python-build (make)
- python-installer (python-installer-gitAUR) (make)
- python-setuptools (make)
- python-setuptools-scm (make)
- python-wheel (make)
- ipython (ipython-gitAUR) (optional) – for [examples] module
- jupyter (optional) – for [examples] module
- python-matplotlib (python-matplotlib-gitAUR) (optional) – for [examples] module
- python-pykeopsAUR (optional) – for [keops] module
- python-pyro-pplAUR (optional) – for [pyro] module
- python-scipy (python-scipy-mkl-binAUR, python-scipy-gitAUR, python-scipy-mklAUR) (optional) – for [examples] module
- python-torchvision (python-torchvision-gitAUR, python-torchvision-rocmAUR, python-torchvision-cuda) (optional) – for [examples] module
- python-tqdm (optional) – for [examples] module
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