datmo/docker-files
Dockerfiles for setting up environments
This project provides pre-configured computational environments using Docker, designed specifically for artificial intelligence and machine learning tasks. It takes basic compute resources (CPU or GPU) and Python versions, and outputs ready-to-use Docker images with popular AI frameworks like TensorFlow and Keras, along with interactive workspaces like Jupyter Notebook or RStudio. Data scientists, machine learning engineers, and researchers can use this to quickly set up consistent development environments.
No commits in the last 6 months.
Use this if you need a standardized, reproducible environment for your AI/ML projects without spending time manually configuring dependencies.
Not ideal if you prefer to set up every component of your development environment from scratch or have very niche, non-standard software requirements.
Stars
21
Forks
14
Language
Python
License
MIT
Category
Last pushed
Jan 26, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/datmo/docker-files"
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