mrhhyu/tensorflow_fedora
Instruction on installing tensorflow-gpu/cpu on Fedora linux
This project provides detailed, step-by-step instructions for installing TensorFlow, a powerful machine learning framework, on Fedora Linux. It guides you through building TensorFlow from its source code, specifically addressing the more complex process of enabling GPU acceleration. This is for data scientists, machine learning engineers, and researchers who need a high-performance TensorFlow environment on their Fedora workstations.
No commits in the last 6 months.
Use this if you are a machine learning practitioner using Fedora Linux and need to install TensorFlow, especially with GPU support, by building it directly from the source code.
Not ideal if you are looking for a simple, one-command installation via pip or Docker, or if you are not using Fedora Linux.
Stars
7
Forks
2
Language
—
License
—
Category
Last pushed
Feb 21, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/mrhhyu/tensorflow_fedora"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
replicate/cog
Containers for machine learning
dusty-nv/jetson-containers
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
rsnk96/Ubuntu-Setup-Scripts
Scripts to help you set up your Ubuntu quickly, especially if you're in any subfield of Data...
open-ce/open-ce
This repository provides the Open-CE environment files and version definitions for each Open-CE release.
lablup/backend.ai-kernels
Repository of Backend.AI-enabled container recipes