Description
Machine Learning native packages for RHEL / Fedora
- pytorch / torch-vision / pytorch-data
- tensorflow / tensorflow-tflite / keras / tensorboard / tensorflow-probability / tensorflow-agents
- mxnet / tvm / dgl / xgboost
- onednn
- onnx
- magma
- numba / cupy
- pyhhmm
- arm-compute-library
- halide
- cutlass
- caffe
- opencv / openvino
- kornia / kornia-moons
- faiss
- pot
- optuna / mango / hyperopt / hyperactive / cmaes / gradient-free-optimizers / pyhopper
- gym / gym-notices / pygame
Repository also holds all related shared libraries.
All packages are latest branches as weekly updated on regular basis.
Packages are properly elaborated to use available system wide shared libraries avoiding static builtins.
The automated actions are governed transparently from here: copr-packages
Sample usage of this repository with Dockerfiles is provided.
Installation Instructions
Install steps
(1) Enable this repository:
dnf copr enable rezso/ML
(2) Add the official CUDA repository for x86_64 or aarch64 or ppc64le
dnf install dnf-plugins-core
# step only for x86_64 or ppc64le:
dnf config-manager \
--add-repo=https://developer.download.nvidia.com/compute/cuda/repos/rhel8/$(uname -m)/cuda-rhel8.repo
# step only for aarch64:
dnf config-manager \
--add-repo=https://developer.download.nvidia.com/compute/cuda/repos/rhel8/sbsa/cuda-rhel8.repo
# steps for fedora only:
dnf module disable nvidia-driver
dnf install fedora-workstation-repositories
dnf config-manager --enable rpmfusion-nonfree-nvidia-driver
dnf install akmod-nvidia
# step for rhel / centos only:
dnf install nvidia-driver
(3) Now ready to install things:
# for pytorch
dnf install pytorch torch-vision
# for tensorflow
dnf install tensorflow keras tensorboard
# for mxnet
dnf install mxnet
See Packages section for complete list and names.
License
All work here is under 3-clause BSD license.
Copyright 2012-2025 Balint Cristian < cristian dot balint at gmail dot com >
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
-
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
-
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
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Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Active Releases
The following unofficial repositories are provided as-is by owner of this project. Contact the owner directly for bugs or issues (IE: not bugzilla).
| Release | Architectures | Repo Download |
|---|---|---|
EPEL 10
|
aarch64 (2337)*, x86_64 (2736)* | EPEL 10 (54 downloads) |
Fedora 42
|
aarch64 (7722)*, x86_64 (7328)* | Fedora 42 (101 downloads) |
|
Fedora 43
|
aarch64 (3129)*, x86_64 (3877)* | Fedora 43 (56 downloads) |
|
Fedora rawhide
|
aarch64 (29702)*, x86_64 (40321)* | Fedora rawhide (231 downloads) |
* Total number of downloaded packages.
External Repository List
The following repositories are accessible during builds