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nyxalon/python-environment

By nyxalon

•Updated 6 months ago

Modular Python Docker environment for machine learning, deep learning, and AI experimentation.

Image
Machine learning & AI
Developer tools
Data science
0

214

nyxalon/python-environment repository overview

⁠Python Environment

A modular Docker-based Python development environment designed for Machine Learning, Deep Learning, and AI workflows.


⁠Key Idea

This project has multiple purpose-based environments:

  • minimal → lightweight Python setup
  • light → core ML stack
  • heavy → full AI stack (DL, NLP, RAG)

⁠Available Tags

TagDescription
minimalBase Python + minimal dependencies
lightML environment (pandas, sklearn, Jupyter)
heavyFull AI stack (PyTorch, Transformers, embeddings)

⁠Features

  • Docker-based reproducible environments
  • Fast builds using layered architecture
  • Supports ML, DL, NLP, and RAG workflows
  • Jupyter Notebook ready
  • Workspace volume support
  • Offline-ready (heavy image includes preloaded models)

⁠Quick Start

docker run -it -p 8888:8888 -v ${PWD}/workspace:/app nyxalon/python-environment:light

Then open:

http://localhost:8888⁠


⁠Usage

TaskImage
Quick scriptsminimal
ML developmentlight
DL / NLP / RAGheavy

Tag summary

Content type

Image

Digest

sha256:25ade9121…

Size

237.7 MB

Last updated

6 months ago

docker pull nyxalon/python-environment:light